diff --git a/depyf/explain/patched_lazy_format_graph_code.py b/depyf/explain/patched_lazy_format_graph_code.py
index 8cfa35da..a2f3b3c3 100644
--- a/depyf/explain/patched_lazy_format_graph_code.py
+++ b/depyf/explain/patched_lazy_format_graph_code.py
@@ -3,7 +3,8 @@ def patched_lazy_format_graph_code(name, gm, maybe_id=None, **kwargs):
     from depyf.utils import get_code_owner
     func_name = get_current_compiled_fn_name()
     file_name = name if name != func_name else "Captured Graph"
-    file_name = func_name + " " + file_name
+    file_name = file_name.replace(" ", "_")
+    file_name = func_name + "." + file_name
     import inspect
     import os
 
@@ -35,7 +36,7 @@ def patched_lazy_format_graph_code(name, gm, maybe_id=None, **kwargs):
         src = simple_code + commented_src
     if filepath is not None:
         new_filepath = write_code_to_file_template(
-            src, os.path.dirname(filepath) + "/" + file_name + " " + "%s" + ".py")
+            src, os.path.dirname(filepath) + "/" + file_name + "." + "%s" + ".py")
         scope = fn.__globals__
         exec(compile(src, filename=new_filepath, mode="exec"), scope)
         fn.__code__ = scope[fn.__name__].__code__
diff --git a/depyf/explain/patched_load_by_key_path.py b/depyf/explain/patched_load_by_key_path.py
index adab9afc..14fdaaf4 100644
--- a/depyf/explain/patched_load_by_key_path.py
+++ b/depyf/explain/patched_load_by_key_path.py
@@ -16,6 +16,6 @@ def patched_load_by_key_path(
 
     func_name = get_current_compiled_fn_name()
     new_filepath = write_code_to_file_template(src, os.path.join(
-        dump_src_dir, func_name + " kernel " + "%s" + ".py"))
+        dump_src_dir, func_name + ".kernel_" + "%s" + ".py"))
     path = new_filepath
     return unpatched_load_by_key_path(key, path, linemap, attrs)
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1 Backward graph 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1.Backward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1 Backward graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1.Backward_graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1 Captured Graph 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1 Captured Graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1 Forward graph 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1 Forward graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1 Joint graph 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1.Joint_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1 Joint graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1.Joint_graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1 tensorify_python_scalars 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11 Backward graph 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11.Backward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11 Backward graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11.Backward_graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11 Captured Graph 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11 Captured Graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11 Forward graph 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11 Forward graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11 Joint graph 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11.Joint_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11 Joint graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11.Joint_graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11 pre insert_deferred_runtime_asserts __compiled_fn_11 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11.pre_insert_deferred_runtime_asserts___compiled_fn_11.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11 pre insert_deferred_runtime_asserts __compiled_fn_11 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11.pre_insert_deferred_runtime_asserts___compiled_fn_11.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11 tensorify_python_scalars 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5 Backward graph 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5.Backward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5 Backward graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5.Backward_graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5 Captured Graph 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5 Captured Graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5 Forward graph 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5 Forward graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5 Joint graph 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5.Joint_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5 Joint graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5.Joint_graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5 tensorify_python_scalars 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7 Backward graph 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7.Backward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7 Backward graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7.Backward_graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7 Captured Graph 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7 Captured Graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7 Forward graph 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7 Forward graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7 Joint graph 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7.Joint_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7 Joint graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7.Joint_graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7 pre insert_deferred_runtime_asserts __compiled_fn_7 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7.pre_insert_deferred_runtime_asserts___compiled_fn_7.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7 pre insert_deferred_runtime_asserts __compiled_fn_7 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7.pre_insert_deferred_runtime_asserts___compiled_fn_7.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7 tensorify_python_scalars 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/full_code_for_toy_function_0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/full_code_for_toy_function_0.py
index e7cd6503..845a00f9 100644
--- a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/full_code_for_toy_function_0.py
+++ b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/full_code_for_toy_function_0.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x128cb0b10>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13d37cf70>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x116a94db0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1338952d0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11e5b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x114e61240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11e5b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x114e613f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11e69aa70>'''
+___key_to_id = '''<function key_to_id at 0x114fafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x13d1c52d0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x132ee9630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11e69a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11e6a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x114faf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x114fbec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1027b7910>'''
+__load_module = '''<function import_module at 0x100b3f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11e81e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11cd0e320>'''
+___from_numpy = '''<function from_numpy at 0x1154983a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x112c9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x13d365490>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13d4c9510>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x133808ff0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x133b42f80>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11e5b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x114e61240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11e5b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x114e613f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11e69aa70>'''
+___key_to_id = '''<function key_to_id at 0x114fafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x13d1c52d0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x132ee9630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11e69a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11e6a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x114faf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x114fbec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1027b7910>'''
+__load_module = '''<function import_module at 0x100b3f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11e81e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11cd0e320>'''
+___from_numpy = '''<function from_numpy at 0x1154983a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x112c9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x128cb0b10>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13d37cf70>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x116a94db0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1338952d0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11e5b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x114e61240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11e5b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x114e613f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11e69aa70>'''
+___key_to_id = '''<function key_to_id at 0x114fafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x13d1c52d0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x132ee9630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11e69a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11e6a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x114faf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x114fbec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1027b7910>'''
+__load_module = '''<function import_module at 0x100b3f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11e81e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11cd0e320>'''
+___from_numpy = '''<function from_numpy at 0x1154983a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x112c9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x13d365490>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13d4c9510>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x133808ff0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x133b42f80>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11e5b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x114e61240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11e5b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x114e613f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11e69aa70>'''
+___key_to_id = '''<function key_to_id at 0x114fafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x13d1c52d0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x132ee9630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11e69a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11e6a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x114faf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x114fbec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1027b7910>'''
+__load_module = '''<function import_module at 0x100b3f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11e81e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11cd0e320>'''
+___from_numpy = '''<function from_numpy at 0x1154983a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x112c9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x13ce13dd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13d33fbe0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x133808fd0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x133b41870>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11e5b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x114e61240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11e5b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x114e613f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11e69aa70>'''
+___key_to_id = '''<function key_to_id at 0x114fafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x13d1c52d0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x132ee9630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11e69a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11e6a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x114faf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x114fbec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1027b7910>'''
+__load_module = '''<function import_module at 0x100b3f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11e81e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11cd0e320>'''
+___from_numpy = '''<function from_numpy at 0x1154983a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x112c9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4374424736)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4708278544)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4323191488)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4338112352)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:4 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:5 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_toy_function(a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x128b7dbb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13d33de10>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x116963b50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x133839900>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_toy_function(a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11e5b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x114e61240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11e5b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x114e613f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11e69aa70>'''
+___key_to_id = '''<function key_to_id at 0x114fafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x13d1c52d0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x132ee9630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11e69a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11e6a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x114faf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x114fbec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1027b7910>'''
+__load_module = '''<function import_module at 0x100b3f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11e81e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11cd0e320>'''
+___from_numpy = '''<function from_numpy at 0x1154983a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x112c9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4374424736)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4708278544)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4323191488)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4338112352)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/full_code_for_toy_function_1.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/full_code_for_toy_function_1.py
index 985eebc3..9ea82861 100644
--- a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/full_code_for_toy_function_1.py
+++ b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/full_code_for_toy_function_1.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10deb0b30>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x138274f70>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x122d94d70>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1498952d0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c6b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x120b55240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c6b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x120b553f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10c89aa70>'''
+___key_to_id = '''<function key_to_id at 0x120cafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1381bd2d0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1487e5630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c89a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c8a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x120caf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x120ccac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102c8b910>'''
+__load_module = '''<function import_module at 0x102c8f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10cb1e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ae1e320>'''
+___from_numpy = '''<function from_numpy at 0x12115c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11599ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12feffdf0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1383c9e10>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x14980cfd0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x149a4af80>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c6b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x120b55240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c6b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x120b553f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10c89aa70>'''
+___key_to_id = '''<function key_to_id at 0x120cafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1381bd2d0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1487e5630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c89a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c8a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x120caf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x120ccac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102c8b910>'''
+__load_module = '''<function import_module at 0x102c8f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10cb1e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ae1e320>'''
+___from_numpy = '''<function from_numpy at 0x12115c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11599ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10deb0b30>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x138274f70>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x122d94d70>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1498952d0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c6b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x120b55240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c6b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x120b553f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10c89aa70>'''
+___key_to_id = '''<function key_to_id at 0x120cafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1381bd2d0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1487e5630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c89a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c8a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x120caf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x120ccac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102c8b910>'''
+__load_module = '''<function import_module at 0x102c8f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10cb1e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ae1e320>'''
+___from_numpy = '''<function from_numpy at 0x12115c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11599ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12feffdf0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1383c9e10>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x14980cfd0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x149a4af80>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c6b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x120b55240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c6b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x120b553f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10c89aa70>'''
+___key_to_id = '''<function key_to_id at 0x120cafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1381bd2d0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1487e5630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c89a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c8a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x120caf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x120ccac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102c8b910>'''
+__load_module = '''<function import_module at 0x102c8f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10cb1e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ae1e320>'''
+___from_numpy = '''<function from_numpy at 0x12115c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11599ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12feffbd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x138237d00>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x14980cfb0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x149a49870>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c6b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x120b55240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c6b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x120b553f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10c89aa70>'''
+___key_to_id = '''<function key_to_id at 0x120cafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1381bd2d0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1487e5630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c89a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c8a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x120caf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x120ccac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102c8b910>'''
+__load_module = '''<function import_module at 0x102c8f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10cb1e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ae1e320>'''
+___from_numpy = '''<function from_numpy at 0x12115c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11599ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4358089488)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4408384928)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4359334592)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4402075648)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:4 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:5 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_toy_function(a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10dd79dd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x138235e10>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x122c61d50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x149835900>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_toy_function(a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c6b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x120b55240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c6b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x120b553f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10c89aa70>'''
+___key_to_id = '''<function key_to_id at 0x120cafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1381bd2d0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1487e5630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c89a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c8a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x120caf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x120ccac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102c8b910>'''
+__load_module = '''<function import_module at 0x102c8f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10cb1e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ae1e320>'''
+___from_numpy = '''<function from_numpy at 0x12115c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11599ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4358089488)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4408384928)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4359334592)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4402075648)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/full_code_for_toy_function_2.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/full_code_for_toy_function_2.py
index 1c05e2a7..65688880 100644
--- a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/full_code_for_toy_function_2.py
+++ b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_with_grad/full_code_for_toy_function_2.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1202b0b50>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x131374f70>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12a694db0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13da952d0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x115bb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x128b59240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x115bb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x128b593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x115c9aa70>'''
+___key_to_id = '''<function key_to_id at 0x128cafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1312bd2d0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x13d9e5630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x115c9a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x115ca5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x128caf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x128cc2c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10275f910>'''
+__load_module = '''<function import_module at 0x10144f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x115e228c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11421a320>'''
+___from_numpy = '''<function from_numpy at 0x12915c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11dea0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1307ffdf0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1314c9510>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x13da110b0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13dc42f80>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x115bb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x128b59240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x115bb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x128b593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x115c9aa70>'''
+___key_to_id = '''<function key_to_id at 0x128cafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1312bd2d0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x13d9e5630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x115c9a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x115ca5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x128caf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x128cc2c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10275f910>'''
+__load_module = '''<function import_module at 0x10144f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x115e228c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11421a320>'''
+___from_numpy = '''<function from_numpy at 0x12915c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11dea0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1202b0b50>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x131374f70>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12a694db0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13da952d0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x115bb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x128b59240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x115bb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x128b593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x115c9aa70>'''
+___key_to_id = '''<function key_to_id at 0x128cafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1312bd2d0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x13d9e5630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x115c9a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x115ca5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x128caf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x128cc2c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10275f910>'''
+__load_module = '''<function import_module at 0x10144f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x115e228c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11421a320>'''
+___from_numpy = '''<function from_numpy at 0x12915c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11dea0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1307ffdf0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1314c9510>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x13da110b0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13dc42f80>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x115bb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x128b59240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x115bb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x128b593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x115c9aa70>'''
+___key_to_id = '''<function key_to_id at 0x128cafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1312bd2d0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x13d9e5630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x115c9a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x115ca5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x128caf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x128cc2c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10275f910>'''
+__load_module = '''<function import_module at 0x10144f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x115e228c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11421a320>'''
+___from_numpy = '''<function from_numpy at 0x12915c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11dea0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1307ffbd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x131337d00>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x13da11090>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13dc41870>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x115bb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x128b59240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x115bb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x128b593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x115c9aa70>'''
+___key_to_id = '''<function key_to_id at 0x128cafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1312bd2d0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x13d9e5630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x115c9a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x115ca5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x128caf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x128cc2c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10275f910>'''
+__load_module = '''<function import_module at 0x10144f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x115e228c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11421a320>'''
+___from_numpy = '''<function from_numpy at 0x12915c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11dea0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4371180704)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4420968720)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4332678144)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4397882384)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:4 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:5 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_toy_function(a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12007dbb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x131335e10>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12a461d50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13da39900>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_toy_function(a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x115bb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x128b59240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x115bb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x128b593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x115c9aa70>'''
+___key_to_id = '''<function key_to_id at 0x128cafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1312bd2d0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x13d9e5630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x115c9a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x115ca5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x128caf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x128cc2c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10275f910>'''
+__load_module = '''<function import_module at 0x10144f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x115e228c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11421a320>'''
+___from_numpy = '''<function from_numpy at 0x12915c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11dea0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4371180704)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4420968720)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4332678144)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4397882384)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1 Captured Graph 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1 Captured Graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1 Forward graph 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1 Forward graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1 tensorify_python_scalars 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11 Captured Graph 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11 Captured Graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11 Forward graph 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11 Forward graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11 pre insert_deferred_runtime_asserts __compiled_fn_11 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11.pre_insert_deferred_runtime_asserts___compiled_fn_11.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11 pre insert_deferred_runtime_asserts __compiled_fn_11 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11.pre_insert_deferred_runtime_asserts___compiled_fn_11.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11 tensorify_python_scalars 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5 Captured Graph 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5 Captured Graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5 Forward graph 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5 Forward graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5 tensorify_python_scalars 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7 Captured Graph 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7 Captured Graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7 Forward graph 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7 Forward graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7 pre insert_deferred_runtime_asserts __compiled_fn_7 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7.pre_insert_deferred_runtime_asserts___compiled_fn_7.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7 pre insert_deferred_runtime_asserts __compiled_fn_7 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7.pre_insert_deferred_runtime_asserts___compiled_fn_7.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7 tensorify_python_scalars 0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/full_code_for_toy_function_0.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/full_code_for_toy_function_0.py
index 119085af..ac8d9fb8 100644
--- a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/full_code_for_toy_function_0.py
+++ b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/full_code_for_toy_function_0.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x131bacb30>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1324b65f0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x121c94d70>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x122bbaef0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1262b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x117055240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1262b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1170553f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x12639aa70>'''
+___key_to_id = '''<function key_to_id at 0x1171afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1324648b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x122b36950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12639a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1263a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1171af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1171cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10141b910>'''
+__load_module = '''<function import_module at 0x102c77910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12651e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x12421e320>'''
+___from_numpy = '''<function from_numpy at 0x1177043a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x114e9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x13248d090>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x132720c10>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x122b99150>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x122ed2950>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1262b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x117055240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1262b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1170553f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x12639aa70>'''
+___key_to_id = '''<function key_to_id at 0x1171afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1324648b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x122b36950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12639a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1263a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1171af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1171cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10141b910>'''
+__load_module = '''<function import_module at 0x102c77910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12651e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x12421e320>'''
+___from_numpy = '''<function from_numpy at 0x1177043a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x114e9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x131bacb30>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1324b65f0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x121c94d70>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x122bbaef0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1262b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x117055240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1262b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1170553f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x12639aa70>'''
+___key_to_id = '''<function key_to_id at 0x1171afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1324648b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x122b36950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12639a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1263a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1171af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1171cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10141b910>'''
+__load_module = '''<function import_module at 0x102c77910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12651e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x12421e320>'''
+___from_numpy = '''<function from_numpy at 0x1177043a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x114e9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x13248d090>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x132720c10>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x122b99150>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x122ed2950>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1262b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x117055240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1262b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1170553f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x12639aa70>'''
+___key_to_id = '''<function key_to_id at 0x1171afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1324648b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x122b36950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12639a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1263a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1171af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1171cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10141b910>'''
+__load_module = '''<function import_module at 0x102c77910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12651e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x12421e320>'''
+___from_numpy = '''<function from_numpy at 0x1177043a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x114e9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x13248d370>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1324b7b50>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x122b99770>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x122ed1120>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1262b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x117055240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1262b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1170553f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x12639aa70>'''
+___key_to_id = '''<function key_to_id at 0x1171afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1324648b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x122b36950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12639a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1263a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1171af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1171cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10141b910>'''
+__load_module = '''<function import_module at 0x102c77910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12651e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x12421e320>'''
+___from_numpy = '''<function from_numpy at 0x1177043a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x114e9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4336593600)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4409433424)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4358187712)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4424095744)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:4 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:5 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_toy_function(a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x131a79dd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1324b5510>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x121a63b50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x122bbadd0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_toy_function(a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1262b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x117055240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1262b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1170553f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x12639aa70>'''
+___key_to_id = '''<function key_to_id at 0x1171afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1324648b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x122b36950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12639a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1263a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1171af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1171cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10141b910>'''
+__load_module = '''<function import_module at 0x102c77910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12651e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x12421e320>'''
+___from_numpy = '''<function from_numpy at 0x1177043a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x114e9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4336593600)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4409433424)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4358187712)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4424095744)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/full_code_for_toy_function_1.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/full_code_for_toy_function_1.py
index 9201db6c..077690ef 100644
--- a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/full_code_for_toy_function_1.py
+++ b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/full_code_for_toy_function_1.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x114ab0b30>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x116dba5f0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10e994d70>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10f1baef0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1133b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c855240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1133b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c8553f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11349aa70>'''
+___key_to_id = '''<function key_to_id at 0x10c9afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x116d64ca0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10f136950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11349a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1134a9ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c9af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c9cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10110f910>'''
+__load_module = '''<function import_module at 0x104be3910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x1136228c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x111a1a320>'''
+___from_numpy = '''<function from_numpy at 0x10ce5c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10af98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x116d8d090>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x117020670>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10f1956d0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10f3d2440>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1133b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c855240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1133b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c8553f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11349aa70>'''
+___key_to_id = '''<function key_to_id at 0x10c9afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x116d64ca0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10f136950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11349a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1134a9ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c9af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c9cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10110f910>'''
+__load_module = '''<function import_module at 0x104be3910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x1136228c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x111a1a320>'''
+___from_numpy = '''<function from_numpy at 0x10ce5c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10af98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x114ab0b30>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x116dba5f0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10e994d70>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10f1baef0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1133b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c855240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1133b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c8553f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11349aa70>'''
+___key_to_id = '''<function key_to_id at 0x10c9afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x116d64ca0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10f136950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11349a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1134a9ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c9af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c9cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10110f910>'''
+__load_module = '''<function import_module at 0x104be3910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x1136228c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x111a1a320>'''
+___from_numpy = '''<function from_numpy at 0x10ce5c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10af98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x116d8d090>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x117020670>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10f1956d0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10f3d2440>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1133b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c855240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1133b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c8553f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11349aa70>'''
+___key_to_id = '''<function key_to_id at 0x10c9afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x116d64ca0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10f136950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11349a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1134a9ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c9af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c9cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10110f910>'''
+__load_module = '''<function import_module at 0x104be3910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x1136228c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x111a1a320>'''
+___from_numpy = '''<function from_numpy at 0x10ce5c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10af98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x116d8d350>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x116dbbb50>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10f195750>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10f1f1510>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1133b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c855240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1133b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c8553f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11349aa70>'''
+___key_to_id = '''<function key_to_id at 0x10c9afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x116d64ca0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10f136950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11349a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1134a9ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c9af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c9cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10110f910>'''
+__load_module = '''<function import_module at 0x104be3910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x1136228c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x111a1a320>'''
+___from_numpy = '''<function from_numpy at 0x10ce5c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10af98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4329270432)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4396851472)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4390972096)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4394457088)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:4 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:5 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_toy_function(a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x114979bb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x116db9510>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10e763b50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10f1badd0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_toy_function(a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1133b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c855240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1133b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c8553f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11349aa70>'''
+___key_to_id = '''<function key_to_id at 0x10c9afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x116d64ca0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10f136950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11349a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1134a9ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c9af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c9cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10110f910>'''
+__load_module = '''<function import_module at 0x104be3910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x1136228c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x111a1a320>'''
+___from_numpy = '''<function from_numpy at 0x10ce5c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10af98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4329270432)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4396851472)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4390972096)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4394457088)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/full_code_for_toy_function_2.py b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/full_code_for_toy_function_2.py
index a9ad0793..22909954 100644
--- a/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/full_code_for_toy_function_2.py
+++ b/tests/depyf_output/debug_function_aot_eager_with_dynamic_shape_without_grad/full_code_for_toy_function_2.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1183b0b30>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x118aba5f0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x131594d70>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x131dbaef0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10dab4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x117361240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10dab4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1173613f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10db9aa70>'''
+___key_to_id = '''<function key_to_id at 0x1174afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x118a64ca0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x131d36950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10db9a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10dba5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1174af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1174cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1027bb910>'''
+__load_module = '''<function import_module at 0x10279b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10dd1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10c212320>'''
+___from_numpy = '''<function from_numpy at 0x11795c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11539ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x118a8d030>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x118d21870>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x131d956b0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1333d6440>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10dab4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x117361240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10dab4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1173613f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10db9aa70>'''
+___key_to_id = '''<function key_to_id at 0x1174afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x118a64ca0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x131d36950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10db9a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10dba5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1174af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1174cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1027bb910>'''
+__load_module = '''<function import_module at 0x10279b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10dd1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10c212320>'''
+___from_numpy = '''<function from_numpy at 0x11795c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11539ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1183b0b30>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x118aba5f0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x131594d70>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x131dbaef0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10dab4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x117361240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10dab4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1173613f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10db9aa70>'''
+___key_to_id = '''<function key_to_id at 0x1174afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x118a64ca0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x131d36950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10db9a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10dba5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1174af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1174cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1027bb910>'''
+__load_module = '''<function import_module at 0x10279b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10dd1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10c212320>'''
+___from_numpy = '''<function from_numpy at 0x11795c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11539ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x118a8d030>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x118d21870>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x131d956b0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1333d6440>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10dab4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x117361240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10dab4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1173613f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10db9aa70>'''
+___key_to_id = '''<function key_to_id at 0x1174afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x118a64ca0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x131d36950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10db9a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10dba5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1174af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1174cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1027bb910>'''
+__load_module = '''<function import_module at 0x10279b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10dd1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10c212320>'''
+___from_numpy = '''<function from_numpy at 0x11795c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11539ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x118a8d330>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x118abbb50>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x131d95750>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x131df1120>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10dab4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x117361240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10dab4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1173613f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10db9aa70>'''
+___key_to_id = '''<function key_to_id at 0x1174afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x118a64ca0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x131d36950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10db9a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10dba5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1174af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1174cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1027bb910>'''
+__load_module = '''<function import_module at 0x10279b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10dd1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10c212320>'''
+___from_numpy = '''<function from_numpy at 0x11795c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11539ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4353043216)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4439842128)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4357549056)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4563556992)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:4 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:5 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_toy_function(a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x118279bb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x118ab9510>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x131463b50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x131dbadd0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_toy_function(a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10dab4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x117361240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10dab4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1173613f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10db9aa70>'''
+___key_to_id = '''<function key_to_id at 0x1174afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x118a64ca0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x131d36950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10db9a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10dba5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1174af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1174cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1027bb910>'''
+__load_module = '''<function import_module at 0x10279b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10dd1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10c212320>'''
+___from_numpy = '''<function from_numpy at 0x11795c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11539ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4353043216)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4439842128)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4357549056)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4563556992)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1 Backward graph 0.py b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1.Backward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1 Backward graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1.Backward_graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1 Captured Graph 0.py b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1 Captured Graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1 Forward graph 0.py b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1 Forward graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1 Joint graph 0.py b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1.Joint_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1 Joint graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1.Joint_graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py
rename to tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1 tensorify_python_scalars 0.py b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5 Backward graph 0.py b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5.Backward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5 Backward graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5.Backward_graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5 Captured Graph 0.py b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5 Captured Graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5 Forward graph 0.py b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5 Forward graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5 Joint graph 0.py b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5.Joint_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5 Joint graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5.Joint_graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py
rename to tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5 tensorify_python_scalars 0.py b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/full_code_for_toy_function_0.py b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/full_code_for_toy_function_0.py
index 0088dbcb..a58c5141 100644
--- a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/full_code_for_toy_function_0.py
+++ b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/full_code_for_toy_function_0.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1201acb30>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x125274f70>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x118194d70>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11ed952d0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1152b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10cd5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1152b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10cd5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x115396a70>'''
+___key_to_id = '''<function key_to_id at 0x10ceafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1251bd2d0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11ece1630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1153965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1153a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10ceaf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10cecac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102dfb910>'''
+__load_module = '''<function import_module at 0x1008eb910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11551e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x113216320>'''
+___from_numpy = '''<function from_numpy at 0x10d3983a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10b39ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x120079bb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x125235e10>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x118061d50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11ed39900>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1152b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10cd5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1152b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10cd5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x115396a70>'''
+___key_to_id = '''<function key_to_id at 0x10ceafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1251bd2d0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11ece1630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1153965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1153a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10ceaf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10cecac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102dfb910>'''
+__load_module = '''<function import_module at 0x1008eb910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11551e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x113216320>'''
+___from_numpy = '''<function from_numpy at 0x10d3983a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10b39ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4359597216)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4418871568)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4323994544)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4405222576)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/full_code_for_toy_function_1.py b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/full_code_for_toy_function_1.py
index 906a7d7a..9404d3d1 100644
--- a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/full_code_for_toy_function_1.py
+++ b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/full_code_for_toy_function_1.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x118fb0b10>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11e77cf70>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x119b94d50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12d5952d0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10efb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10ff5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10efb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10ff5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10f89aa70>'''
+___key_to_id = '''<function key_to_id at 0x1180afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11e6c52d0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12d4e9630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10f89a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10f8a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1180af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1180cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10321f910>'''
+__load_module = '''<function import_module at 0x10331b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10fb1e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10bb1a320>'''
+___from_numpy = '''<function from_numpy at 0x1188603a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10cd9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x118e79dd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11e739e10>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x119a63b50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12d535900>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10efb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10ff5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10efb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10ff5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10f89aa70>'''
+___key_to_id = '''<function key_to_id at 0x1180afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11e6c52d0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12d4e9630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10f89a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10f8a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1180af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1180cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10321f910>'''
+__load_module = '''<function import_module at 0x10331b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10fb1e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10bb1a320>'''
+___from_numpy = '''<function from_numpy at 0x1188603a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10cd9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4363938976)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4430405904)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4364987072)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4430387200)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/full_code_for_toy_function_2.py b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/full_code_for_toy_function_2.py
index 7d5c494b..53e5d2ed 100644
--- a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/full_code_for_toy_function_2.py
+++ b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_with_grad/full_code_for_toy_function_2.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1358b0b10>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x165368f70>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12e494d50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x14e9952d0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1342b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12ba59240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1342b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12ba593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x13439aa70>'''
+___key_to_id = '''<function key_to_id at 0x12bbafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x15a8bd2d0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1432f5630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x13439a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1343a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12bbaf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x12bbcac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104f4b910>'''
+__load_module = '''<function import_module at 0x1050ab910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x13451e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x127e1a320>'''
+___from_numpy = '''<function from_numpy at 0x12d0603a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x128da0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x135779bb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x165325e10>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12e25dd50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x14e939900>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1342b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12ba59240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1342b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12ba593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x13439aa70>'''
+___key_to_id = '''<function key_to_id at 0x12bbafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x15a8bd2d0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1432f5630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x13439a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1343a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12bbaf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x12bbcac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104f4b910>'''
+__load_module = '''<function import_module at 0x1050ab910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x13451e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x127e1a320>'''
+___from_numpy = '''<function from_numpy at 0x12d0603a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x128da0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4414171840)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4878147056)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4395985600)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4717697024)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1 Captured Graph 0.py b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1 Captured Graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1 Forward graph 0.py b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1 Forward graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py
rename to tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1 tensorify_python_scalars 0.py b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5 Captured Graph 0.py b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5 Captured Graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5 Forward graph 0.py b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5 Forward graph 0.py
rename to tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py
rename to tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5 tensorify_python_scalars 0.py b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/full_code_for_toy_function_0.py b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/full_code_for_toy_function_0.py
index 7ca19c60..6ae8ad17 100644
--- a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/full_code_for_toy_function_0.py
+++ b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/full_code_for_toy_function_0.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x123dacb30>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1244b65f0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x122294d50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1232baef0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1215b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x120759240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1215b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1207593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x121696a70>'''
+___key_to_id = '''<function key_to_id at 0x1209afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1244648b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12323a950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1216965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1216a9ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1209af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1209cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104dcb910>'''
+__load_module = '''<function import_module at 0x103203910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x1218228c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11621a320>'''
+___from_numpy = '''<function from_numpy at 0x1210603a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11679ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x123c79dd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1244b5510>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12215dd50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1232badd0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1215b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x120759240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1215b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1207593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x121696a70>'''
+___key_to_id = '''<function key_to_id at 0x1209afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1244648b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12323a950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1216965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1216a9ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1209af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1209cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104dcb910>'''
+__load_module = '''<function import_module at 0x103203910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x1218228c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11621a320>'''
+___from_numpy = '''<function from_numpy at 0x1210603a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11679ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4392955040)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4583498000)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4363840192)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4585576448)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/full_code_for_toy_function_1.py b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/full_code_for_toy_function_1.py
index f18bee8e..db4b5300 100644
--- a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/full_code_for_toy_function_1.py
+++ b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/full_code_for_toy_function_1.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12b9acb50>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12c2b7490>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x128294d70>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x128cbaef0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12a3b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10e95d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12a3b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10e95d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x12a49aa70>'''
+___key_to_id = '''<function key_to_id at 0x10eaafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12c264ca0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x128c3a950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12a49a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x12a4a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10eaaf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10eacac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104ec3910>'''
+__load_module = '''<function import_module at 0x1025cb910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12a6228c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11d01a320>'''
+___from_numpy = '''<function from_numpy at 0x10ef5c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x1089a0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12b87bbb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12c2b5510>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12815dd50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x128cbadd0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12a3b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10e95d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12a3b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10e95d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x12a49aa70>'''
+___key_to_id = '''<function key_to_id at 0x10eaafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12c264ca0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x128c3a950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12a49a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x12a4a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10eaaf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10eacac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104ec3910>'''
+__load_module = '''<function import_module at 0x1025cb910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12a6228c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11d01a320>'''
+___from_numpy = '''<function from_numpy at 0x10ef5c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x1089a0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4393970448)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4720451216)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4351027904)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4354512896)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/full_code_for_toy_function_2.py b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/full_code_for_toy_function_2.py
index 9d242092..a0d6ddce 100644
--- a/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/full_code_for_toy_function_2.py
+++ b/tests/depyf_output/debug_function_aot_eager_without_dynamic_shape_without_grad/full_code_for_toy_function_2.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11bfb0b30>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11c6b65f0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x129194db0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12a4baef0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x118fb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11f861240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x118fb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11f8613f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11919aa70>'''
+___key_to_id = '''<function key_to_id at 0x11f9afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11c664ca0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12a436950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11919a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1191a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11f9af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11f9c2c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1052c7910>'''
+__load_module = '''<function import_module at 0x10119b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11941e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10f71a320>'''
+___from_numpy = '''<function from_numpy at 0x11fe5c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11df98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11be7bbb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11c6b5510>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x128f5fb50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12a4badd0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x118fb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11f861240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x118fb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11f8613f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11919aa70>'''
+___key_to_id = '''<function key_to_id at 0x11f9afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11c664ca0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12a436950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11919a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1191a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11f9af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11f9c2c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1052c7910>'''
+__load_module = '''<function import_module at 0x10119b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11941e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10f71a320>'''
+___from_numpy = '''<function from_numpy at 0x11fe5c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11df98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4405144496)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4475493872)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4332350384)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4425145280)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_1 Captured Graph 0.py b/tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_1.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_1 Captured Graph 0.py
rename to tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_1.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py b/tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py
rename to tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
diff --git a/tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_11 Captured Graph 0.py b/tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_11.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_11 Captured Graph 0.py
rename to tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_11.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_11 pre insert_deferred_runtime_asserts __compiled_fn_11 0.py b/tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_11.pre_insert_deferred_runtime_asserts___compiled_fn_11.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_11 pre insert_deferred_runtime_asserts __compiled_fn_11 0.py
rename to tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_11.pre_insert_deferred_runtime_asserts___compiled_fn_11.0.py
diff --git a/tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_5 Captured Graph 0.py b/tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_5.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_5 Captured Graph 0.py
rename to tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_5.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py b/tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py
rename to tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
diff --git a/tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_7 Captured Graph 0.py b/tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_7.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_7 Captured Graph 0.py
rename to tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_7.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_7 pre insert_deferred_runtime_asserts __compiled_fn_7 0.py b/tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_7.pre_insert_deferred_runtime_asserts___compiled_fn_7.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_7 pre insert_deferred_runtime_asserts __compiled_fn_7 0.py
rename to tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/__compiled_fn_7.pre_insert_deferred_runtime_asserts___compiled_fn_7.0.py
diff --git a/tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/full_code_for_toy_function_0.py b/tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/full_code_for_toy_function_0.py
index 3f8c75d8..139847d6 100644
--- a/tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/full_code_for_toy_function_0.py
+++ b/tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/full_code_for_toy_function_0.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1295acd70>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12984dab0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11a494d70>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11a768550>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10ffb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x118b61240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10ffb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x118b613f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x12809aa70>'''
+___key_to_id = '''<function key_to_id at 0x118cafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1297cba30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11a6169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12809a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1280a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x118caf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x118ccac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102f63910>'''
+__load_module = '''<function import_module at 0x10456b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12821e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10e61a320>'''
+___from_numpy = '''<function from_numpy at 0x118fe03a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10ea98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x129810930>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x129a913f0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11a7107f0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11b15f7f0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10ffb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x118b61240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10ffb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x118b613f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x12809aa70>'''
+___key_to_id = '''<function key_to_id at 0x118cafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1297cba30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11a6169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12809a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1280a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x118caf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x118ccac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102f63910>'''
+__load_module = '''<function import_module at 0x10456b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12821e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10e61a320>'''
+___from_numpy = '''<function from_numpy at 0x118fe03a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10ea98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1295acd70>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12984dab0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11a494d70>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11a768550>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10ffb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x118b61240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10ffb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x118b613f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x12809aa70>'''
+___key_to_id = '''<function key_to_id at 0x118cafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1297cba30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11a6169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12809a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1280a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x118caf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x118ccac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102f63910>'''
+__load_module = '''<function import_module at 0x10456b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12821e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10e61a320>'''
+___from_numpy = '''<function from_numpy at 0x118fe03a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10ea98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x129810930>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x129a913f0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11a7107f0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11b15f7f0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10ffb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x118b61240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10ffb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x118b613f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x12809aa70>'''
+___key_to_id = '''<function key_to_id at 0x118cafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1297cba30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11a6169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12809a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1280a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x118caf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x118ccac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102f63910>'''
+__load_module = '''<function import_module at 0x10456b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12821e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10e61a320>'''
+___from_numpy = '''<function from_numpy at 0x118fe03a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10ea98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x129479d50>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x129a53be0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11a35db90>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11a7379a0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10ffb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x118b61240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10ffb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x118b613f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x12809aa70>'''
+___key_to_id = '''<function key_to_id at 0x118cafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1297cba30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11a6169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12809a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1280a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x118caf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x118ccac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102f63910>'''
+__load_module = '''<function import_module at 0x10456b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12821e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10e61a320>'''
+___from_numpy = '''<function from_numpy at 0x118fe03a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10ea98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4361071376)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4407336432)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4384337056)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4454505648)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:4 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:5 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_toy_function(a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x129479dd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12976c040>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11a35dd50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11a736a70>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_toy_function(a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10ffb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x118b61240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10ffb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x118b613f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x12809aa70>'''
+___key_to_id = '''<function key_to_id at 0x118cafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1297cba30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11a6169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12809a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1280a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x118caf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x118ccac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102f63910>'''
+__load_module = '''<function import_module at 0x10456b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12821e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10e61a320>'''
+___from_numpy = '''<function from_numpy at 0x118fe03a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10ea98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4361071376)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4407336432)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4384337056)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4454505648)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/full_code_for_toy_function_1.py b/tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/full_code_for_toy_function_1.py
index 61a075dd..b52ad084 100644
--- a/tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/full_code_for_toy_function_1.py
+++ b/tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/full_code_for_toy_function_1.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1214b0d90>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12174dab0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10fd94d90>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x118868550>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x117eb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10da59240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x117eb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10da593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x117f9aa70>'''
+___key_to_id = '''<function key_to_id at 0x10dbafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1216cba30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10ff169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x117f9a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x117fa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10dbaf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10dbcac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102f33910>'''
+__load_module = '''<function import_module at 0x10261b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12021a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11661a320>'''
+___from_numpy = '''<function from_numpy at 0x10e9303a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10c19ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x121718f10>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12228d3f0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1188110d0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x118a5bd90>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x117eb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10da59240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x117eb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10da593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x117f9aa70>'''
+___key_to_id = '''<function key_to_id at 0x10dbafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1216cba30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10ff169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x117f9a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x117fa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10dbaf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10dbcac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102f33910>'''
+__load_module = '''<function import_module at 0x10261b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12021a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11661a320>'''
+___from_numpy = '''<function from_numpy at 0x10e9303a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10c19ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1214b0d90>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12174dab0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10fd94d90>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x118868550>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x117eb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10da59240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x117eb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10da593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x117f9aa70>'''
+___key_to_id = '''<function key_to_id at 0x10dbafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1216cba30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10ff169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x117f9a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x117fa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10dbaf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10dbcac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102f33910>'''
+__load_module = '''<function import_module at 0x10261b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12021a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11661a320>'''
+___from_numpy = '''<function from_numpy at 0x10e9303a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10c19ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x121718f10>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12228d3f0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1188110d0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x118a5bd90>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x117eb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10da59240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x117eb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10da593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x117f9aa70>'''
+___key_to_id = '''<function key_to_id at 0x10dbafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1216cba30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10ff169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x117f9a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x117fa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10dbaf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10dbcac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102f33910>'''
+__load_module = '''<function import_module at 0x10261b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12021a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11661a320>'''
+___from_numpy = '''<function from_numpy at 0x10e9303a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10c19ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12137ad30>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x122257c70>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10fc61b90>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1188339a0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x117eb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10da59240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x117eb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10da593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x117f9aa70>'''
+___key_to_id = '''<function key_to_id at 0x10dbafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1216cba30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10ff169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x117f9a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x117fa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10dbaf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10dbcac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102f33910>'''
+__load_module = '''<function import_module at 0x10261b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12021a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11661a320>'''
+___from_numpy = '''<function from_numpy at 0x10e9303a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10c19ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4360875168)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4577206464)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4352404160)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4419901440)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:4 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:5 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_toy_function(a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x121379bb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12166c040>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10fc63b50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x118832a70>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_toy_function(a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x117eb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10da59240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x117eb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10da593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x117f9aa70>'''
+___key_to_id = '''<function key_to_id at 0x10dbafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1216cba30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10ff169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x117f9a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x117fa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10dbaf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10dbcac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102f33910>'''
+__load_module = '''<function import_module at 0x10261b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12021a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11661a320>'''
+___from_numpy = '''<function from_numpy at 0x10e9303a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10c19ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4360875168)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4577206464)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4352404160)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4419901440)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/full_code_for_toy_function_2.py b/tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/full_code_for_toy_function_2.py
index ff93e73f..7b41c9f9 100644
--- a/tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/full_code_for_toy_function_2.py
+++ b/tests/depyf_output/debug_function_eager_with_dynamic_shape_with_grad/full_code_for_toy_function_2.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1205b0d10>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12124dab0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10ef94d50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10f368550>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1168b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c45d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1168b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c45d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11699aa70>'''
+___key_to_id = '''<function key_to_id at 0x10c5afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1210cba30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10f1169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11699a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1169a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c5af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c5cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100f77910>'''
+__load_module = '''<function import_module at 0x100a43910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x116b1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x114f1a320>'''
+___from_numpy = '''<function from_numpy at 0x10d9e03a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10ac98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1205ace70>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12148ed40>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10f30cd30>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10f55aa70>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1168b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c45d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1168b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c45d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11699aa70>'''
+___key_to_id = '''<function key_to_id at 0x10c5afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1210cba30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10f1169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11699a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1169a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c5af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c5cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100f77910>'''
+__load_module = '''<function import_module at 0x100a43910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x116b1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x114f1a320>'''
+___from_numpy = '''<function from_numpy at 0x10d9e03a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10ac98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1205b0d10>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12124dab0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10ef94d50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10f368550>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1168b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c45d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1168b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c45d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11699aa70>'''
+___key_to_id = '''<function key_to_id at 0x10c5afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1210cba30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10f1169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11699a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1169a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c5af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c5cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100f77910>'''
+__load_module = '''<function import_module at 0x100a43910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x116b1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x114f1a320>'''
+___from_numpy = '''<function from_numpy at 0x10d9e03a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10ac98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1205ace70>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12148ed40>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10f30cd30>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10f55aa70>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1168b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c45d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1168b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c45d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11699aa70>'''
+___key_to_id = '''<function key_to_id at 0x10c5afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1210cba30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10f1169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11699a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1169a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c5af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c5cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100f77910>'''
+__load_module = '''<function import_module at 0x100a43910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x116b1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x114f1a320>'''
+___from_numpy = '''<function from_numpy at 0x10d9e03a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10ac98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12047ed30>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x121453c70>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10ee5db90>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10f3339a0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1168b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c45d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1168b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c45d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11699aa70>'''
+___key_to_id = '''<function key_to_id at 0x10c5afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1210cba30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10f1169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11699a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1169a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c5af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c5cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100f77910>'''
+__load_module = '''<function import_module at 0x100a43910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x116b1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x114f1a320>'''
+___from_numpy = '''<function from_numpy at 0x10d9e03a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10ac98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4327599264)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4410482960)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4331858864)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4392409888)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:4 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:5 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_toy_function(a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12047dbb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12106c040>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10ee5dd50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10f332a70>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_toy_function(a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1168b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c45d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1168b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c45d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11699aa70>'''
+___key_to_id = '''<function key_to_id at 0x10c5afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1210cba30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10f1169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11699a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1169a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c5af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c5cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100f77910>'''
+__load_module = '''<function import_module at 0x100a43910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x116b1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x114f1a320>'''
+___from_numpy = '''<function from_numpy at 0x10d9e03a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10ac98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4327599264)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4410482960)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4331858864)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4392409888)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_1 Captured Graph 0.py b/tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_1.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_1 Captured Graph 0.py
rename to tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_1.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py b/tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py
rename to tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
diff --git a/tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_11 Captured Graph 0.py b/tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_11.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_11 Captured Graph 0.py
rename to tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_11.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_11 pre insert_deferred_runtime_asserts __compiled_fn_11 0.py b/tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_11.pre_insert_deferred_runtime_asserts___compiled_fn_11.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_11 pre insert_deferred_runtime_asserts __compiled_fn_11 0.py
rename to tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_11.pre_insert_deferred_runtime_asserts___compiled_fn_11.0.py
diff --git a/tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_5 Captured Graph 0.py b/tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_5.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_5 Captured Graph 0.py
rename to tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_5.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py b/tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py
rename to tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
diff --git a/tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_7 Captured Graph 0.py b/tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_7.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_7 Captured Graph 0.py
rename to tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_7.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_7 pre insert_deferred_runtime_asserts __compiled_fn_7 0.py b/tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_7.pre_insert_deferred_runtime_asserts___compiled_fn_7.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_7 pre insert_deferred_runtime_asserts __compiled_fn_7 0.py
rename to tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/__compiled_fn_7.pre_insert_deferred_runtime_asserts___compiled_fn_7.0.py
diff --git a/tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/full_code_for_toy_function_0.py b/tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/full_code_for_toy_function_0.py
index 07a67260..4334a22a 100644
--- a/tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/full_code_for_toy_function_0.py
+++ b/tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/full_code_for_toy_function_0.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1108acd50>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x110b4d510>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11f994d50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11fc64790>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10f2b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11d959240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10f2b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11d9593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10f396a70>'''
+___key_to_id = '''<function key_to_id at 0x11daafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x110ac3a30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11fb169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10f3965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10f3a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11daaf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11dacac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104823910>'''
+__load_module = '''<function import_module at 0x1012db910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10f5228c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10d21a320>'''
+___from_numpy = '''<function from_numpy at 0x11deac3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11af9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1108acbb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x110b4e0e0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11fc113f0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11fc33490>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10f2b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11d959240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10f2b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11d9593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10f396a70>'''
+___key_to_id = '''<function key_to_id at 0x11daafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x110ac3a30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11fb169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10f3965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10f3a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11daaf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11dacac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104823910>'''
+__load_module = '''<function import_module at 0x1012db910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10f5228c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10d21a320>'''
+___from_numpy = '''<function from_numpy at 0x11deac3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11af9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1108acd50>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x110b4d510>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11f994d50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11fc64790>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10f2b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11d959240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10f2b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11d9593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10f396a70>'''
+___key_to_id = '''<function key_to_id at 0x11daafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x110ac3a30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11fb169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10f3965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10f3a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11daaf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11dacac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104823910>'''
+__load_module = '''<function import_module at 0x1012db910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10f5228c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10d21a320>'''
+___from_numpy = '''<function from_numpy at 0x11deac3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11af9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1108acbb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x110b4e0e0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11fc113f0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11fc33490>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10f2b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11d959240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10f2b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11d9593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10f396a70>'''
+___key_to_id = '''<function key_to_id at 0x11daafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x110ac3a30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11fb169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10f3965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10f3a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11daaf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11dacac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104823910>'''
+__load_module = '''<function import_module at 0x1012db910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10f5228c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10d21a320>'''
+___from_numpy = '''<function from_numpy at 0x11deac3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11af9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x110b14ef0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x110d536d0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11f861b90>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11fe5bf40>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10f2b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11d959240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10f2b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11d9593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10f396a70>'''
+___key_to_id = '''<function key_to_id at 0x11daafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x110ac3a30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11fb169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10f3965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10f3a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11daaf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11dacac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104823910>'''
+__load_module = '''<function import_module at 0x1012db910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10f5228c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10d21a320>'''
+___from_numpy = '''<function from_numpy at 0x11deac3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11af9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4387024032)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4445085968)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4331170496)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4375861248)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:4 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:5 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_toy_function(a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x110779dd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x110a681f0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11f863b50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11fc32a70>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_toy_function(a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10f2b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11d959240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10f2b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11d9593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10f396a70>'''
+___key_to_id = '''<function key_to_id at 0x11daafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x110ac3a30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11fb169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10f3965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10f3a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11daaf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11dacac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104823910>'''
+__load_module = '''<function import_module at 0x1012db910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10f5228c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10d21a320>'''
+___from_numpy = '''<function from_numpy at 0x11deac3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11af9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4387024032)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4445085968)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4331170496)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4375861248)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/full_code_for_toy_function_1.py b/tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/full_code_for_toy_function_1.py
index 22d335f1..a774a33e 100644
--- a/tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/full_code_for_toy_function_1.py
+++ b/tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/full_code_for_toy_function_1.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x121eb0d70>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12214d510>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10bd94d70>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10c868790>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1200b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x109b45240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1200b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x109b453f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x12019aa70>'''
+___key_to_id = '''<function key_to_id at 0x109c97ac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1220cba30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10bf169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12019a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1201a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x109c97640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x109caec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104aef910>'''
+__load_module = '''<function import_module at 0x10273f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x1203228c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11681a320>'''
+___from_numpy = '''<function from_numpy at 0x10a1803a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x108584a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x121eb0b10>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12238e950>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10c80d190>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10c833490>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1200b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x109b45240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1200b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x109b453f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x12019aa70>'''
+___key_to_id = '''<function key_to_id at 0x109c97ac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1220cba30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10bf169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12019a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1201a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x109c97640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x109caec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104aef910>'''
+__load_module = '''<function import_module at 0x10273f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x1203228c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11681a320>'''
+___from_numpy = '''<function from_numpy at 0x10a1803a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x108584a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x121eb0d70>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12214d510>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10bd94d70>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10c868790>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1200b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x109b45240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1200b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x109b453f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x12019aa70>'''
+___key_to_id = '''<function key_to_id at 0x109c97ac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1220cba30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10bf169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12019a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1201a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x109c97640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x109caec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104aef910>'''
+__load_module = '''<function import_module at 0x10273f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x1203228c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11681a320>'''
+___from_numpy = '''<function from_numpy at 0x10a1803a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x108584a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x121eb0b10>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12238e950>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10c80d190>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10c833490>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1200b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x109b45240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1200b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x109b453f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x12019aa70>'''
+___key_to_id = '''<function key_to_id at 0x109c97ac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1220cba30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10bf169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12019a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1201a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x109c97640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x109caec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104aef910>'''
+__load_module = '''<function import_module at 0x10273f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x1203228c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11681a320>'''
+___from_numpy = '''<function from_numpy at 0x10a1803a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x108584a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x121eacf70>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1223579a0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10bed5b50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10ca5bf40>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1200b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x109b45240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1200b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x109b453f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x12019aa70>'''
+___key_to_id = '''<function key_to_id at 0x109c97ac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1220cba30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10bf169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12019a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1201a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x109c97640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x109caec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104aef910>'''
+__load_module = '''<function import_module at 0x10273f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x1203228c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11681a320>'''
+___from_numpy = '''<function from_numpy at 0x10a1803a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x108584a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4389956768)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4591886608)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4352551616)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4356036448)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:4 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:5 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_toy_function(a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x121d7bbb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12206c1f0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10bc61c70>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10c832a70>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_toy_function(a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1200b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x109b45240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1200b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x109b453f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x12019aa70>'''
+___key_to_id = '''<function key_to_id at 0x109c97ac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1220cba30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10bf169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12019a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1201a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x109c97640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x109caec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104aef910>'''
+__load_module = '''<function import_module at 0x10273f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x1203228c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11681a320>'''
+___from_numpy = '''<function from_numpy at 0x10a1803a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x108584a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4389956768)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4591886608)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4352551616)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4356036448)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/full_code_for_toy_function_2.py b/tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/full_code_for_toy_function_2.py
index dd6ecc97..bbc840ad 100644
--- a/tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/full_code_for_toy_function_2.py
+++ b/tests/depyf_output/debug_function_eager_with_dynamic_shape_without_grad/full_code_for_toy_function_2.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x109458d30>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1096f5510>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x132994d70>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x132d64790>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10805c160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x13115d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10805c310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x13115d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x108142a70>'''
+___key_to_id = '''<function key_to_id at 0x1312afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10966fa30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x132c169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1081425f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10814dab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1312af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1312c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1013f7910>'''
+__load_module = '''<function import_module at 0x104c2f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x1082c68c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x106ac6320>'''
+___from_numpy = '''<function from_numpy at 0x13175c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x126f9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10945ac70>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1099369e0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x132d0d130>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x132d33130>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10805c160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x13115d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10805c310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x13115d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x108142a70>'''
+___key_to_id = '''<function key_to_id at 0x1312afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10966fa30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x132c169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1081425f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10814dab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1312af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1312c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1013f7910>'''
+__load_module = '''<function import_module at 0x104c2f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x1082c68c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x106ac6320>'''
+___from_numpy = '''<function from_numpy at 0x13175c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x126f9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x109458d30>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1096f5510>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x132994d70>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x132d64790>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10805c160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x13115d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10805c310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x13115d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x108142a70>'''
+___key_to_id = '''<function key_to_id at 0x1312afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10966fa30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x132c169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1081425f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10814dab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1312af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1312c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1013f7910>'''
+__load_module = '''<function import_module at 0x104c2f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x1082c68c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x106ac6320>'''
+___from_numpy = '''<function from_numpy at 0x13175c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x126f9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10945ac70>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1099369e0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x132d0d130>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x132d33130>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10805c160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x13115d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10805c310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x13115d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x108142a70>'''
+___key_to_id = '''<function key_to_id at 0x1312afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10966fa30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x132c169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1081425f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10814dab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1312af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1312c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1013f7910>'''
+__load_module = '''<function import_module at 0x104c2f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x1082c68c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x106ac6320>'''
+___from_numpy = '''<function from_numpy at 0x13175c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x126f9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1096bce70>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1098ff910>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x132861b90>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x132d339a0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10805c160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x13115d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10805c310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x13115d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x108142a70>'''
+___key_to_id = '''<function key_to_id at 0x1312afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10966fa30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x132c169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1081425f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10814dab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1312af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1312c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1013f7910>'''
+__load_module = '''<function import_module at 0x104c2f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x1082c68c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x106ac6320>'''
+___from_numpy = '''<function from_numpy at 0x13175c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x126f9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4332317856)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4336640272)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4391267328)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4839332720)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:4 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:5 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_toy_function(a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x109323bb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1096141f0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x132861c70>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x132d32a70>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_toy_function(a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10805c160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x13115d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10805c310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x13115d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x108142a70>'''
+___key_to_id = '''<function key_to_id at 0x1312afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10966fa30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x132c169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1081425f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10814dab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1312af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1312c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1013f7910>'''
+__load_module = '''<function import_module at 0x104c2f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x1082c68c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x106ac6320>'''
+___from_numpy = '''<function from_numpy at 0x13175c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x126f9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4332317856)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4336640272)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4391267328)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4839332720)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_eager_without_dynamic_shape_with_grad/__compiled_fn_1 Captured Graph 0.py b/tests/depyf_output/debug_function_eager_without_dynamic_shape_with_grad/__compiled_fn_1.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_eager_without_dynamic_shape_with_grad/__compiled_fn_1 Captured Graph 0.py
rename to tests/depyf_output/debug_function_eager_without_dynamic_shape_with_grad/__compiled_fn_1.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_eager_without_dynamic_shape_with_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py b/tests/depyf_output/debug_function_eager_without_dynamic_shape_with_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_eager_without_dynamic_shape_with_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py
rename to tests/depyf_output/debug_function_eager_without_dynamic_shape_with_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
diff --git a/tests/depyf_output/debug_function_eager_without_dynamic_shape_with_grad/__compiled_fn_5 Captured Graph 0.py b/tests/depyf_output/debug_function_eager_without_dynamic_shape_with_grad/__compiled_fn_5.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_eager_without_dynamic_shape_with_grad/__compiled_fn_5 Captured Graph 0.py
rename to tests/depyf_output/debug_function_eager_without_dynamic_shape_with_grad/__compiled_fn_5.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_eager_without_dynamic_shape_with_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py b/tests/depyf_output/debug_function_eager_without_dynamic_shape_with_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_eager_without_dynamic_shape_with_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py
rename to tests/depyf_output/debug_function_eager_without_dynamic_shape_with_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
diff --git a/tests/depyf_output/debug_function_eager_without_dynamic_shape_with_grad/full_code_for_toy_function_0.py b/tests/depyf_output/debug_function_eager_without_dynamic_shape_with_grad/full_code_for_toy_function_0.py
index 124683c0..64ff14d2 100644
--- a/tests/depyf_output/debug_function_eager_without_dynamic_shape_with_grad/full_code_for_toy_function_0.py
+++ b/tests/depyf_output/debug_function_eager_without_dynamic_shape_with_grad/full_code_for_toy_function_0.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1228b0d30>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x122c4dab0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x131c94d90>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13296c550>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x120ab4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x130359240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x120ab4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1303593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x120b9aa70>'''
+___key_to_id = '''<function key_to_id at 0x1304afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x122acba30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1328169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x120b9a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x120ba5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1304af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1304cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102a53910>'''
+__load_module = '''<function import_module at 0x102c2f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x120d1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11721a320>'''
+___from_numpy = '''<function from_numpy at 0x1308a83a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11689ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x122779dd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x122a6c040>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x131a5fb50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x132932a70>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x120ab4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x130359240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x120ab4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1303593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x120b9aa70>'''
+___key_to_id = '''<function key_to_id at 0x1304afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x122acba30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1328169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x120b9a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x120ba5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1304af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1304cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102a53910>'''
+__load_module = '''<function import_module at 0x102c2f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x120d1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11721a320>'''
+___from_numpy = '''<function from_numpy at 0x1308a83a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11689ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4357549216)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4597129248)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4357728960)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4406204256)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_eager_without_dynamic_shape_with_grad/full_code_for_toy_function_1.py b/tests/depyf_output/debug_function_eager_without_dynamic_shape_with_grad/full_code_for_toy_function_1.py
index c26b8317..f35bb144 100644
--- a/tests/depyf_output/debug_function_eager_without_dynamic_shape_with_grad/full_code_for_toy_function_1.py
+++ b/tests/depyf_output/debug_function_eager_without_dynamic_shape_with_grad/full_code_for_toy_function_1.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12afb0d10>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12b24dab0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10fd94db0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x128068550>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1285b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10e359240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1285b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10e3593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x12989aa70>'''
+___key_to_id = '''<function key_to_id at 0x10e4afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12b1c3a30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10ff129e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12989a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1298a9ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10e4af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10e4c2c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104a27910>'''
+__load_module = '''<function import_module at 0x100523910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x129a1e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ee1a320>'''
+___from_numpy = '''<function from_numpy at 0x10e95c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10bb98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12ae7bbb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12b16c040>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10fc63b50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x128032a70>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1285b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10e359240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1285b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10e3593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x12989aa70>'''
+___key_to_id = '''<function key_to_id at 0x10e4afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12b1c3a30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10ff129e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12989a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1298a9ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10e4af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10e4c2c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104a27910>'''
+__load_module = '''<function import_module at 0x100523910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x129a1e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ee1a320>'''
+___from_numpy = '''<function from_numpy at 0x10e95c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10bb98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4389137168)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4475493792)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4316769200)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4375633232)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_eager_without_dynamic_shape_with_grad/full_code_for_toy_function_2.py b/tests/depyf_output/debug_function_eager_without_dynamic_shape_with_grad/full_code_for_toy_function_2.py
index 25d7ae8e..7e285c29 100644
--- a/tests/depyf_output/debug_function_eager_without_dynamic_shape_with_grad/full_code_for_toy_function_2.py
+++ b/tests/depyf_output/debug_function_eager_without_dynamic_shape_with_grad/full_code_for_toy_function_2.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10ebacd50>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10ef4dab0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x133594d90>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13386c550>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10cdb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x131359240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10cdb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1313593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10ce9aa70>'''
+___key_to_id = '''<function key_to_id at 0x1314afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10edcba30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x13371a9e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10ce9a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10cea9ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1314af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1314cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100d83910>'''
+__load_module = '''<function import_module at 0x1032c7910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10d01e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10a31a320>'''
+___from_numpy = '''<function from_numpy at 0x13195c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x127b9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10ea7bbb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10ed6c040>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x133463b50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x133832a70>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10cdb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x131359240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10cdb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1313593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10ce9aa70>'''
+___key_to_id = '''<function key_to_id at 0x1314afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10edcba30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x13371a9e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10ce9a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10cea9ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1314af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1314cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100d83910>'''
+__load_module = '''<function import_module at 0x1032c7910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10d01e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10a31a320>'''
+___from_numpy = '''<function from_numpy at 0x13195c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x127b9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4325551264)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4395802896)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4364643008)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4368128000)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_eager_without_dynamic_shape_without_grad/__compiled_fn_1 Captured Graph 0.py b/tests/depyf_output/debug_function_eager_without_dynamic_shape_without_grad/__compiled_fn_1.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_eager_without_dynamic_shape_without_grad/__compiled_fn_1 Captured Graph 0.py
rename to tests/depyf_output/debug_function_eager_without_dynamic_shape_without_grad/__compiled_fn_1.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_eager_without_dynamic_shape_without_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py b/tests/depyf_output/debug_function_eager_without_dynamic_shape_without_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_eager_without_dynamic_shape_without_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py
rename to tests/depyf_output/debug_function_eager_without_dynamic_shape_without_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
diff --git a/tests/depyf_output/debug_function_eager_without_dynamic_shape_without_grad/__compiled_fn_5 Captured Graph 0.py b/tests/depyf_output/debug_function_eager_without_dynamic_shape_without_grad/__compiled_fn_5.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_eager_without_dynamic_shape_without_grad/__compiled_fn_5 Captured Graph 0.py
rename to tests/depyf_output/debug_function_eager_without_dynamic_shape_without_grad/__compiled_fn_5.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_eager_without_dynamic_shape_without_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py b/tests/depyf_output/debug_function_eager_without_dynamic_shape_without_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_eager_without_dynamic_shape_without_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py
rename to tests/depyf_output/debug_function_eager_without_dynamic_shape_without_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
diff --git a/tests/depyf_output/debug_function_eager_without_dynamic_shape_without_grad/full_code_for_toy_function_0.py b/tests/depyf_output/debug_function_eager_without_dynamic_shape_without_grad/full_code_for_toy_function_0.py
index d032b848..46738d0e 100644
--- a/tests/depyf_output/debug_function_eager_without_dynamic_shape_without_grad/full_code_for_toy_function_0.py
+++ b/tests/depyf_output/debug_function_eager_without_dynamic_shape_without_grad/full_code_for_toy_function_0.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x118fb0d10>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11924d510>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x116d94d70>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x120f6c790>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10f1b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x114d59240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10f1b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x114d593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10f29aa70>'''
+___key_to_id = '''<function key_to_id at 0x114eafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1191c3a30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x120e169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10f29a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10f2a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x114eaf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x114ecac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10348f910>'''
+__load_module = '''<function import_module at 0x10146f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10f41e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10d21a320>'''
+___from_numpy = '''<function from_numpy at 0x1151e03a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x113498a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x118e7bbb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11916c1f0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x116c5dd50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x120f36a70>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10f1b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x114d59240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10f1b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x114d593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10f29aa70>'''
+___key_to_id = '''<function key_to_id at 0x114eafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1191c3a30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x120e169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10f29a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10f2a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x114eaf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x114ecac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10348f910>'''
+__load_module = '''<function import_module at 0x10146f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10f41e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10d21a320>'''
+___from_numpy = '''<function from_numpy at 0x1151e03a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x113498a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4367707296)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4434600128)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4332825280)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4348598112)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_eager_without_dynamic_shape_without_grad/full_code_for_toy_function_1.py b/tests/depyf_output/debug_function_eager_without_dynamic_shape_without_grad/full_code_for_toy_function_1.py
index 285858ee..9faad93a 100644
--- a/tests/depyf_output/debug_function_eager_without_dynamic_shape_without_grad/full_code_for_toy_function_1.py
+++ b/tests/depyf_output/debug_function_eager_without_dynamic_shape_without_grad/full_code_for_toy_function_1.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10f8b0d10>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10fb4d510>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12d194d90>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12d46c790>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10d1b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12b659240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10d1b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12b6593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10d29aa70>'''
+___key_to_id = '''<function key_to_id at 0x12b7afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10fac3a30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12d3169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10d29a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10d2a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12b7af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x12b7cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10260f910>'''
+__load_module = '''<function import_module at 0x104ffb910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10d41e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10b81a320>'''
+___from_numpy = '''<function from_numpy at 0x12bd043a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x129e9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10f779dd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10fa6c1f0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12d063b50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12d436a70>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10d1b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12b659240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10d1b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12b6593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10d29aa70>'''
+___key_to_id = '''<function key_to_id at 0x12b7afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10fac3a30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12d3169e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10d29a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10d2a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12b7af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x12b7cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10260f910>'''
+__load_module = '''<function import_module at 0x104ffb910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10d41e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10b81a320>'''
+___from_numpy = '''<function from_numpy at 0x12bd043a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x129e9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4351290528)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4401045776)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4404898816)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4709308976)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_eager_without_dynamic_shape_without_grad/full_code_for_toy_function_2.py b/tests/depyf_output/debug_function_eager_without_dynamic_shape_without_grad/full_code_for_toy_function_2.py
index 343da990..3e835984 100644
--- a/tests/depyf_output/debug_function_eager_without_dynamic_shape_without_grad/full_code_for_toy_function_2.py
+++ b/tests/depyf_output/debug_function_eager_without_dynamic_shape_without_grad/full_code_for_toy_function_2.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10d6b0d50>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10d94d510>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11a094d70>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11a36c790>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10beb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11875d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10beb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11875d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10c09aa70>'''
+___key_to_id = '''<function key_to_id at 0x1188afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10d8cba30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11a21a9e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c09a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c0a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1188af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1188cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104633910>'''
+__load_module = '''<function import_module at 0x102807910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10c21a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x109cf6320>'''
+___from_numpy = '''<function from_numpy at 0x118dd43a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10d498a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10d47bbb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10d8681f0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x119f61d50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11a33aa70>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10beb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11875d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10beb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11875d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10c09aa70>'''
+___key_to_id = '''<function key_to_id at 0x1188afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10d8cba30>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11a21a9e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c09a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c0a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1188af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1188cac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104633910>'''
+__load_module = '''<function import_module at 0x102807910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10c21a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x109cf6320>'''
+___from_numpy = '''<function from_numpy at 0x118dd43a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10d498a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4384992416)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4389314832)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4364380864)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4438775808)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_1 Backward graph 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_1.Backward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_1 Backward graph 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_1.Backward_graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_1 Captured Graph 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_1.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_1 Captured Graph 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_1.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_1 Forward graph 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_1.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_1 Forward graph 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_1.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_1 Joint graph 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_1.Joint_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_1 Joint graph 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_1.Joint_graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_1 kernel 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_1.kernel_0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_1 kernel 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_1.kernel_0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_1 tensorify_python_scalars 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_1.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_1 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_1.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 AFTER POST GRAD 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.AFTER_POST_GRAD.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 AFTER POST GRAD 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.AFTER_POST_GRAD.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 AFTER POST GRAD 1.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.AFTER_POST_GRAD.1.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 AFTER POST GRAD 1.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.AFTER_POST_GRAD.1.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 Backward graph 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.Backward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 Backward graph 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.Backward_graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 Captured Graph 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 Captured Graph 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 Forward graph 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 Forward graph 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 Joint graph 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.Joint_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 Joint graph 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.Joint_graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 kernel 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.kernel_0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 kernel 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.kernel_0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 kernel 1.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.kernel_1.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 kernel 1.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.kernel_1.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 pre insert_deferred_runtime_asserts __compiled_fn_11 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.pre_insert_deferred_runtime_asserts___compiled_fn_11.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 pre insert_deferred_runtime_asserts __compiled_fn_11 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.pre_insert_deferred_runtime_asserts___compiled_fn_11.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 tensorify_python_scalars 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_5 Backward graph 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_5.Backward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_5 Backward graph 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_5.Backward_graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_5 Captured Graph 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_5.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_5 Captured Graph 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_5.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_5 Forward graph 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_5.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_5 Forward graph 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_5.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_5 Joint graph 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_5.Joint_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_5 Joint graph 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_5.Joint_graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_5 kernel 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_5.kernel_0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_5 kernel 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_5.kernel_0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_5 tensorify_python_scalars 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_5.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_5 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_5.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 AFTER POST GRAD 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.AFTER_POST_GRAD.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 AFTER POST GRAD 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.AFTER_POST_GRAD.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 AFTER POST GRAD 1.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.AFTER_POST_GRAD.1.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 AFTER POST GRAD 1.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.AFTER_POST_GRAD.1.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 Backward graph 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.Backward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 Backward graph 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.Backward_graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 Captured Graph 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 Captured Graph 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 Forward graph 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 Forward graph 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 Joint graph 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.Joint_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 Joint graph 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.Joint_graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 kernel 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.kernel_0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 kernel 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.kernel_0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 kernel 1.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.kernel_1.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 kernel 1.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.kernel_1.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 pre insert_deferred_runtime_asserts __compiled_fn_7 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.pre_insert_deferred_runtime_asserts___compiled_fn_7.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 pre insert_deferred_runtime_asserts __compiled_fn_7 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.pre_insert_deferred_runtime_asserts___compiled_fn_7.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 tensorify_python_scalars 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/full_code_for_toy_function_0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/full_code_for_toy_function_0.py
index ab398d48..6da6a82d 100644
--- a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/full_code_for_toy_function_0.py
+++ b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/full_code_for_toy_function_0.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x132a90610>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1559c3e20>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11f8448d0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x122f8c3a0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x124bb4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10f261120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x124bb41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10f2612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x124d9a950>'''
+___key_to_id = '''<function key_to_id at 0x10f3af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x15545a560>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x122891a20>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x124d9a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x124da5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10f3af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10f3cab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1005b7910>'''
+__load_module = '''<function import_module at 0x104c6b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x124f227a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x122916320>'''
+___from_numpy = '''<function from_numpy at 0x10f85c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10c998a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1559fc570>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x155dcd5a0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x122f18af0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12368a320>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x124bb4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10f261120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x124bb41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10f2612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x124d9a950>'''
+___key_to_id = '''<function key_to_id at 0x10f3af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x15545a560>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x122891a20>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x124d9a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x124da5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10f3af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10f3cab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1005b7910>'''
+__load_module = '''<function import_module at 0x104c6b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x124f227a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x122916320>'''
+___from_numpy = '''<function from_numpy at 0x10f85c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10c998a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x132a90610>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1559c3e20>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11f8448d0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x122f8c3a0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x124bb4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10f261120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x124bb41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10f2612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x124d9a950>'''
+___key_to_id = '''<function key_to_id at 0x10f3af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x15545a560>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x122891a20>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x124d9a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x124da5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10f3af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10f3cab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1005b7910>'''
+__load_module = '''<function import_module at 0x104c6b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x124f227a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x122916320>'''
+___from_numpy = '''<function from_numpy at 0x10f85c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10c998a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1559fc570>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x155dcd5a0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x122f18af0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12368a320>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x124bb4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10f261120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x124bb41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10f2612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x124d9a950>'''
+___key_to_id = '''<function key_to_id at 0x10f3af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x15545a560>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x122891a20>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x124d9a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x124da5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10f3af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10f3cab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1005b7910>'''
+__load_module = '''<function import_module at 0x104c6b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x124f227a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x122916320>'''
+___from_numpy = '''<function from_numpy at 0x10f85c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10c998a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1559ffe90>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1559b3eb0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11f8446b0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12369e7a0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x124bb4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10f261120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x124bb41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10f2612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x124d9a950>'''
+___key_to_id = '''<function key_to_id at 0x10f3af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x15545a560>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x122891a20>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x124d9a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x124da5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10f3af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10f3cab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1005b7910>'''
+__load_module = '''<function import_module at 0x104c6b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x124f227a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x122916320>'''
+___from_numpy = '''<function from_numpy at 0x10f85c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10c998a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4317375648)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4385317136)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4391529152)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4395013984)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:4 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:5 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_toy_function(a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x13137a0d0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1559b3a30>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11f3408f0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x122f640d0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_toy_function(a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x124bb4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10f261120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x124bb41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10f2612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x124d9a950>'''
+___key_to_id = '''<function key_to_id at 0x10f3af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x15545a560>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x122891a20>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x124d9a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x124da5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10f3af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10f3cab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1005b7910>'''
+__load_module = '''<function import_module at 0x104c6b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x124f227a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x122916320>'''
+___from_numpy = '''<function from_numpy at 0x10f85c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10c998a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4317375648)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4385317136)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4391529152)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4395013984)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/full_code_for_toy_function_1.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/full_code_for_toy_function_1.py
index d8ac57e6..74acf1da 100644
--- a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/full_code_for_toy_function_1.py
+++ b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/full_code_for_toy_function_1.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x119b8a4b0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12be07e20>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x13544c890>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x14c5803a0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c5b8040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x112461120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c5b81f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1124612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10c796950>'''
+___key_to_id = '''<function key_to_id at 0x1125af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12b566560>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x14b791a20>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c7964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c7a9990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1125af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1125cab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10111b910>'''
+__load_module = '''<function import_module at 0x1012e3910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10d1227a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ad1a320>'''
+___from_numpy = '''<function from_numpy at 0x11675c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x107128a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x119b8aef0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12d2eedd0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x14c51c250>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x14cdb63b0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c5b8040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x112461120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c5b81f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1124612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10c796950>'''
+___key_to_id = '''<function key_to_id at 0x1125af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12b566560>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x14b791a20>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c7964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c7a9990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1125af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1125cab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10111b910>'''
+__load_module = '''<function import_module at 0x1012e3910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10d1227a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ad1a320>'''
+___from_numpy = '''<function from_numpy at 0x11675c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x107128a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x119b8a4b0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12be07e20>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x13544c890>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x14c5803a0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c5b8040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x112461120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c5b81f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1124612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10c796950>'''
+___key_to_id = '''<function key_to_id at 0x1125af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12b566560>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x14b791a20>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c7964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c7a9990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1125af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1125cab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10111b910>'''
+__load_module = '''<function import_module at 0x1012e3910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10d1227a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ad1a320>'''
+___from_numpy = '''<function from_numpy at 0x11675c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x107128a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x119b8aef0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12d2eedd0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x14c51c250>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x14cdb63b0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c5b8040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x112461120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c5b81f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1124612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10c796950>'''
+___key_to_id = '''<function key_to_id at 0x1125af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12b566560>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x14b791a20>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c7964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c7a9990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1125af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1125cab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10111b910>'''
+__load_module = '''<function import_module at 0x1012e3910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10d1227a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ad1a320>'''
+___from_numpy = '''<function from_numpy at 0x11675c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x107128a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11967f350>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12bfe4310>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x13544c670>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x14cdb57e0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c5b8040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x112461120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c5b81f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1124612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10c796950>'''
+___key_to_id = '''<function key_to_id at 0x1125af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12b566560>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x14b791a20>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c7964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c7a9990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1125af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1125cab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10111b910>'''
+__load_module = '''<function import_module at 0x1012e3910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10d1227a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ad1a320>'''
+___from_numpy = '''<function from_numpy at 0x11675c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x107128a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4339723104)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4406287856)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4331203264)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4334688256)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:4 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:5 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_toy_function(a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11967d970>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12bdc7a30>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x134f94070>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x14c5640d0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_toy_function(a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c5b8040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x112461120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c5b81f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1124612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10c796950>'''
+___key_to_id = '''<function key_to_id at 0x1125af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12b566560>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x14b791a20>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c7964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c7a9990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1125af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1125cab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10111b910>'''
+__load_module = '''<function import_module at 0x1012e3910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10d1227a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ad1a320>'''
+___from_numpy = '''<function from_numpy at 0x11675c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x107128a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4339723104)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4406287856)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4331203264)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4334688256)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/full_code_for_toy_function_2.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/full_code_for_toy_function_2.py
index 52e84fa4..0c5c9ee2 100644
--- a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/full_code_for_toy_function_2.py
+++ b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_with_grad/full_code_for_toy_function_2.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x127588650>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x157103e20>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x135e448d0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1375883a0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1213b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x125861120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1213b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1258612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x12159a950>'''
+___key_to_id = '''<function key_to_id at 0x1259af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x14a666560>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x136f91a20>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12159a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1215a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1259af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1259cab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x105057910>'''
+__load_module = '''<function import_module at 0x100b6b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12171e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11631a320>'''
+___from_numpy = '''<function from_numpy at 0x125f5c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x122e9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x157114670>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1576e6710>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x13750c690>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x137f14e50>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1213b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x125861120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1213b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1258612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x12159a950>'''
+___key_to_id = '''<function key_to_id at 0x1259af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x14a666560>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x136f91a20>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12159a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1215a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1259af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1259cab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x105057910>'''
+__load_module = '''<function import_module at 0x100b6b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12171e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11631a320>'''
+___from_numpy = '''<function from_numpy at 0x125f5c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x122e9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x127588650>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x157103e20>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x135e448d0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1375883a0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1213b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x125861120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1213b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1258612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x12159a950>'''
+___key_to_id = '''<function key_to_id at 0x1259af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x14a666560>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x136f91a20>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12159a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1215a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1259af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1259cab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x105057910>'''
+__load_module = '''<function import_module at 0x100b6b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12171e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11631a320>'''
+___from_numpy = '''<function from_numpy at 0x125f5c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x122e9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x157114670>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1576e6710>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x13750c690>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x137f14e50>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1213b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x125861120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1213b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1258612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x12159a950>'''
+___key_to_id = '''<function key_to_id at 0x1259af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x14a666560>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x136f91a20>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12159a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1215a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1259af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1259cab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x105057910>'''
+__load_module = '''<function import_module at 0x100b6b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12171e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11631a320>'''
+___from_numpy = '''<function from_numpy at 0x125f5c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x122e9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x157117e90>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1576396c0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x135e44910>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x137e268c0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1213b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x125861120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1213b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1258612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x12159a950>'''
+___key_to_id = '''<function key_to_id at 0x1259af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x14a666560>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x136f91a20>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12159a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1215a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1259af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1259cab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x105057910>'''
+__load_module = '''<function import_module at 0x100b6b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12171e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11631a320>'''
+___from_numpy = '''<function from_numpy at 0x125f5c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x122e9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4404735136)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4587692304)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4323371712)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4326856704)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:4 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:5 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_toy_function(a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12717a430>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1570c3a30>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x135a97890>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1375040d0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_toy_function(a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1213b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x125861120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1213b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1258612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x12159a950>'''
+___key_to_id = '''<function key_to_id at 0x1259af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x14a666560>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x136f91a20>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12159a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1215a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1259af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1259cab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x105057910>'''
+__load_module = '''<function import_module at 0x100b6b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12171e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11631a320>'''
+___from_numpy = '''<function from_numpy at 0x125f5c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x122e9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4404735136)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4587692304)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4323371712)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4326856704)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_1 Captured Graph 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_1.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_1 Captured Graph 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_1.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_1 Forward graph 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_1.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_1 Forward graph 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_1.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_1 kernel 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_1.kernel_0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_1 kernel 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_1.kernel_0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_1 tensorify_python_scalars 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_1.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_1 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_1.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_11 AFTER POST GRAD 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_11.AFTER_POST_GRAD.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_11 AFTER POST GRAD 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_11.AFTER_POST_GRAD.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_11 Captured Graph 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_11.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_11 Captured Graph 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_11.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_11 Forward graph 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_11.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_11 Forward graph 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_11.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_11 kernel 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_11.kernel_0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_11 kernel 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_11.kernel_0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_11 pre insert_deferred_runtime_asserts __compiled_fn_11 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_11.pre_insert_deferred_runtime_asserts___compiled_fn_11.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_11 pre insert_deferred_runtime_asserts __compiled_fn_11 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_11.pre_insert_deferred_runtime_asserts___compiled_fn_11.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_11 tensorify_python_scalars 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_11.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_11 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_11.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_5 Captured Graph 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_5.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_5 Captured Graph 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_5.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_5 Forward graph 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_5.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_5 Forward graph 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_5.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_5 kernel 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_5.kernel_0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_5 kernel 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_5.kernel_0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_5 tensorify_python_scalars 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_5.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_5 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_5.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_7 AFTER POST GRAD 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_7.AFTER_POST_GRAD.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_7 AFTER POST GRAD 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_7.AFTER_POST_GRAD.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_7 Captured Graph 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_7.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_7 Captured Graph 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_7.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_7 Forward graph 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_7.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_7 Forward graph 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_7.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_7 kernel 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_7.kernel_0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_7 kernel 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_7.kernel_0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_7 pre insert_deferred_runtime_asserts __compiled_fn_7 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_7.pre_insert_deferred_runtime_asserts___compiled_fn_7.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_7 pre insert_deferred_runtime_asserts __compiled_fn_7 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_7.pre_insert_deferred_runtime_asserts___compiled_fn_7.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_7 tensorify_python_scalars 0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_7.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_7 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/__compiled_fn_7.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/full_code_for_toy_function_0.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/full_code_for_toy_function_0.py
index 804c11ca..31ef0b2f 100644
--- a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/full_code_for_toy_function_0.py
+++ b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/full_code_for_toy_function_0.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12ba84590>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12c828af0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x126e54890>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x127b0add0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11e3b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x121361120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11e3b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1213612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11e49a950>'''
+___key_to_id = '''<function key_to_id at 0x1214af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12bcecdc0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1274d9630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11e49a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11e4a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1214af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1214cab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1026d7910>'''
+__load_module = '''<function import_module at 0x10344b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11e61e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11c01e320>'''
+___from_numpy = '''<function from_numpy at 0x12195c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11739ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12c7723d0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12cf5c160>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12799e6d0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1501fb5b0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11e3b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x121361120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11e3b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1213612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11e49a950>'''
+___key_to_id = '''<function key_to_id at 0x1214af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12bcecdc0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1274d9630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11e49a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11e4a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1214af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1214cab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1026d7910>'''
+__load_module = '''<function import_module at 0x10344b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11e61e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11c01e320>'''
+___from_numpy = '''<function from_numpy at 0x12195c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11739ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12ba84590>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12c828af0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x126e54890>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x127b0add0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11e3b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x121361120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11e3b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1213612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11e49a950>'''
+___key_to_id = '''<function key_to_id at 0x1214af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12bcecdc0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1274d9630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11e49a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11e4a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1214af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1214cab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1026d7910>'''
+__load_module = '''<function import_module at 0x10344b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11e61e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11c01e320>'''
+___from_numpy = '''<function from_numpy at 0x12195c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11739ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12c7723d0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12cf5c160>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12799e6d0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1501fb5b0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11e3b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x121361120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11e3b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1213612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11e49a950>'''
+___key_to_id = '''<function key_to_id at 0x1214af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12bcecdc0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1274d9630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11e49a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11e4a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1214af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1214cab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1026d7910>'''
+__load_module = '''<function import_module at 0x10344b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11e61e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11c01e320>'''
+___from_numpy = '''<function from_numpy at 0x12195c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11739ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12b4786f0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12cbfc790>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x126e54450>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x150039a20>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11e3b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x121361120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11e3b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1213612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11e49a950>'''
+___key_to_id = '''<function key_to_id at 0x1214af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12bcecdc0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1274d9630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11e49a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11e4a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1214af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1214cab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1026d7910>'''
+__load_module = '''<function import_module at 0x10344b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11e61e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11c01e320>'''
+___from_numpy = '''<function from_numpy at 0x12195c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11739ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4364692240)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4417822192)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4376423664)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4428291088)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:4 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:5 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_toy_function(a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12b479f50>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12c7eb520>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x126997490>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1279eb910>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_toy_function(a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11e3b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x121361120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11e3b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1213612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11e49a950>'''
+___key_to_id = '''<function key_to_id at 0x1214af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12bcecdc0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1274d9630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11e49a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11e4a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1214af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1214cab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1026d7910>'''
+__load_module = '''<function import_module at 0x10344b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11e61e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11c01e320>'''
+___from_numpy = '''<function from_numpy at 0x12195c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11739ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4364692240)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4417822192)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4376423664)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4428291088)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/full_code_for_toy_function_1.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/full_code_for_toy_function_1.py
index 10722cb9..78ba9a21 100644
--- a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/full_code_for_toy_function_1.py
+++ b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/full_code_for_toy_function_1.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12c588510>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12d43caf0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11f5448d0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12830add0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10d0b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11b461120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10d0b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11b4612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10d196950>'''
+___key_to_id = '''<function key_to_id at 0x11b5ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12c7f4dc0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11fdd1630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10d1964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10d1a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11b5ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11b5c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104e8f910>'''
+__load_module = '''<function import_module at 0x104ea3910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10d31e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ae1e320>'''
+___from_numpy = '''<function from_numpy at 0x11ba5c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10f3a0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12d35a310>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12da50160>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1282a32f0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x129a95cf0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10d0b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11b461120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10d0b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11b4612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10d196950>'''
+___key_to_id = '''<function key_to_id at 0x11b5ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12c7f4dc0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11fdd1630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10d1964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10d1a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11b5ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11b5c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104e8f910>'''
+__load_module = '''<function import_module at 0x104ea3910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10d31e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ae1e320>'''
+___from_numpy = '''<function from_numpy at 0x11ba5c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10f3a0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12c588510>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12d43caf0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11f5448d0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12830add0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10d0b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11b461120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10d0b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11b4612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10d196950>'''
+___key_to_id = '''<function key_to_id at 0x11b5ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12c7f4dc0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11fdd1630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10d1964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10d1a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11b5ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11b5c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104e8f910>'''
+__load_module = '''<function import_module at 0x104ea3910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10d31e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ae1e320>'''
+___from_numpy = '''<function from_numpy at 0x11ba5c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10f3a0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12d35a310>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12da50160>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1282a32f0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x129a95cf0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10d0b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11b461120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10d0b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11b4612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10d196950>'''
+___key_to_id = '''<function key_to_id at 0x11b5ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12c7f4dc0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11fdd1630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10d1964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10d1a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11b5ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11b5c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104e8f910>'''
+__load_module = '''<function import_module at 0x104ea3910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10d31e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ae1e320>'''
+___from_numpy = '''<function from_numpy at 0x11ba5c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10f3a0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12c17c070>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12d7f9870>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1282a2810>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1299393f0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10d0b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11b461120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10d0b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11b4612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10d196950>'''
+___key_to_id = '''<function key_to_id at 0x11b5ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12c7f4dc0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11fdd1630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10d1964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10d1a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11b5ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11b5c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104e8f910>'''
+__load_module = '''<function import_module at 0x104ea3910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10d31e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ae1e320>'''
+___from_numpy = '''<function from_numpy at 0x11ba5c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10f3a0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4393757856)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4398080272)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4421512192)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4456602160)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:4 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:5 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_toy_function(a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12c17dd70>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12d3ef520>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11f0948f0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1282eb910>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_toy_function(a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10d0b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11b461120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10d0b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11b4612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10d196950>'''
+___key_to_id = '''<function key_to_id at 0x11b5ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12c7f4dc0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11fdd1630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10d1964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10d1a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11b5ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11b5c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104e8f910>'''
+__load_module = '''<function import_module at 0x104ea3910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10d31e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ae1e320>'''
+___from_numpy = '''<function from_numpy at 0x11ba5c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10f3a0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4393757856)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4398080272)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4421512192)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4456602160)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/full_code_for_toy_function_2.py b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/full_code_for_toy_function_2.py
index ea76f58a..d62c0611 100644
--- a/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/full_code_for_toy_function_2.py
+++ b/tests/depyf_output/debug_function_inductor_with_dynamic_shape_without_grad/full_code_for_toy_function_2.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12358c510>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12423caf0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12f3448b0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13890add0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1166b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12ab61120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1166b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12ab612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11679a950>'''
+___key_to_id = '''<function key_to_id at 0x12acaf9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1237f8dc0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12fad1630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11679a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1167a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12acaf520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x12accab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100713910>'''
+__load_module = '''<function import_module at 0x104bbf910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x1171227a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11461a320>'''
+___from_numpy = '''<function from_numpy at 0x12b960280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x12929ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12415aaf0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1245fba30>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x138920a10>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13914fac0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1166b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12ab61120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1166b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12ab612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11679a950>'''
+___key_to_id = '''<function key_to_id at 0x12acaf9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1237f8dc0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12fad1630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11679a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1167a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12acaf520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x12accab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100713910>'''
+__load_module = '''<function import_module at 0x104bbf910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x1171227a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11461a320>'''
+___from_numpy = '''<function from_numpy at 0x12b960280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x12929ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12358c510>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12423caf0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12f3448b0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13890add0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1166b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12ab61120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1166b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12ab612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11679a950>'''
+___key_to_id = '''<function key_to_id at 0x12acaf9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1237f8dc0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12fad1630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11679a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1167a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12acaf520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x12accab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100713910>'''
+__load_module = '''<function import_module at 0x104bbf910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x1171227a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11461a320>'''
+___from_numpy = '''<function from_numpy at 0x12b960280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x12929ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12415aaf0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1245fba30>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x138920a10>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13914fac0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1166b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12ab61120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1166b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12ab612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11679a950>'''
+___key_to_id = '''<function key_to_id at 0x12acaf9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1237f8dc0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12fad1630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11679a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1167a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12acaf520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x12accab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100713910>'''
+__load_module = '''<function import_module at 0x104bbf910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x1171227a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11461a320>'''
+___from_numpy = '''<function from_numpy at 0x12b960280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x12929ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ign
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:6 in torch_dynamo_resume_in_toy_function_at_5 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x123078070>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1245f8790>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x138923eb0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x138908160>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1166b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12ab61120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1166b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12ab612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11679a950>'''
+___key_to_id = '''<function key_to_id at 0x12acaf9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1237f8dc0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12fad1630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11679a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1167a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12acaf520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x12accab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100713910>'''
+__load_module = '''<function import_module at 0x104bbf910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x1171227a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11461a320>'''
+___from_numpy = '''<function from_numpy at 0x12b960280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x12929ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4326845600)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4374831136)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4409993920)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4721891328)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:4 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:5 in toy_function (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_toy_function(a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x123079d70>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1241eb520>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12ed94070>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1388eb910>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_toy_function(a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1166b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12ab61120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1166b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12ab612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11679a950>'''
+___key_to_id = '''<function key_to_id at 0x12acaf9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1237f8dc0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12fad1630>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11679a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1167a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12acaf520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x12accab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100713910>'''
+__load_module = '''<function import_module at 0x104bbf910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x1171227a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11461a320>'''
+___from_numpy = '''<function from_numpy at 0x12b960280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x12929ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4326845600)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4374831136)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4409993920)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4721891328)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1 AFTER POST GRAD 0.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1.AFTER_POST_GRAD.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1 AFTER POST GRAD 0.py
rename to tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1.AFTER_POST_GRAD.0.py
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1 Backward graph 0.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1.Backward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1 Backward graph 0.py
rename to tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1.Backward_graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1 Captured Graph 0.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1 Captured Graph 0.py
rename to tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1 Forward graph 0.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1 Forward graph 0.py
rename to tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1 Joint graph 0.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1.Joint_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1 Joint graph 0.py
rename to tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1.Joint_graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1 kernel 0.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1.kernel_0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1 kernel 0.py
rename to tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1.kernel_0.py
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py
rename to tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1 tensorify_python_scalars 0.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_1.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5 AFTER POST GRAD 0.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5.AFTER_POST_GRAD.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5 AFTER POST GRAD 0.py
rename to tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5.AFTER_POST_GRAD.0.py
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5 Backward graph 0.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5.Backward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5 Backward graph 0.py
rename to tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5.Backward_graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5 Captured Graph 0.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5 Captured Graph 0.py
rename to tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5 Forward graph 0.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5 Forward graph 0.py
rename to tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5 Joint graph 0.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5.Joint_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5 Joint graph 0.py
rename to tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5.Joint_graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5 kernel 0.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5.kernel_0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5 kernel 0.py
rename to tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5.kernel_0.py
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py
rename to tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5 tensorify_python_scalars 0.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/__compiled_fn_5.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/full_code_for_toy_function_0.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/full_code_for_toy_function_0.py
index b0a52a22..306a9c75 100644
--- a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/full_code_for_toy_function_0.py
+++ b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/full_code_for_toy_function_0.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x118a94610>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11c382200>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11a454890>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13a0c97e0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10b5b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c5e1120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10b5b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c5e12d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10b69a950>'''
+___key_to_id = '''<function key_to_id at 0x10c72f9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11b966ef0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11d252560>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10b69a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10b6a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c72f520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c74ab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x101077910>'''
+__load_module = '''<function import_module at 0x1051d7910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10b81e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x109d1e320>'''
+___from_numpy = '''<function from_numpy at 0x10cc18280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10b01ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11867a0d0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x118cfcb80>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x119f90070>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13a065000>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10b5b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c5e1120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10b5b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c5e12d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10b69a950>'''
+___key_to_id = '''<function key_to_id at 0x10c72f9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11b966ef0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11d252560>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10b69a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10b6a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c72f520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c74ab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x101077910>'''
+__load_module = '''<function import_module at 0x1051d7910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10b81e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x109d1e320>'''
+___from_numpy = '''<function from_numpy at 0x10cc18280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10b01ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4328647840)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4388462864)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4397214400)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4400699392)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/full_code_for_toy_function_1.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/full_code_for_toy_function_1.py
index 084697a5..e4cb4a15 100644
--- a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/full_code_for_toy_function_1.py
+++ b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/full_code_for_toy_function_1.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x119094610>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11f24ae60>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x113e548b0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1226cd5a0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10cab4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10f661120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10cab41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10f6612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10cb9a950>'''
+___key_to_id = '''<function key_to_id at 0x10f7af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11e17ae60>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x116d19b40>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10cb9a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10cba5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10f7af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10f7cab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x101477910>'''
+__load_module = '''<function import_module at 0x10459f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10cd1e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10b216320>'''
+___from_numpy = '''<function from_numpy at 0x10fbac280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10d498a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x118a7dd70>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1192fcb80>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x113897990>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x122665000>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10cab4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10f661120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10cab41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10f6612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10cb9a950>'''
+___key_to_id = '''<function key_to_id at 0x10f7af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11e17ae60>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x116d19b40>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10cb9a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10cba5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10f7af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10f7cab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x101477910>'''
+__load_module = '''<function import_module at 0x10459f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10cd1e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10b216320>'''
+___from_numpy = '''<function from_numpy at 0x10fbac280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10d498a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4332842144)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4393705744)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4384386048)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4387888304)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/full_code_for_toy_function_2.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/full_code_for_toy_function_2.py
index 7e554919..c5c1f043 100644
--- a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/full_code_for_toy_function_2.py
+++ b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_with_grad/full_code_for_toy_function_2.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x124a84610>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x150b76ef0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10f444850>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12f4c9360>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x117ab4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10b461120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x117ab41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10b4612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x117b9a950>'''
+___key_to_id = '''<function key_to_id at 0x10b5af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x150366e60>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11ff924d0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x117b9a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x117ba5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10b5af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10b5cab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10258f910>'''
+__load_module = '''<function import_module at 0x100ddb910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x117d227a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x115a16320>'''
+___from_numpy = '''<function from_numpy at 0x10ba5c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10929ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12447a0d0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x124decb80>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10f0940f0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12f465000>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x117ab4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10b461120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x117ab41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10b4612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x117b9a950>'''
+___key_to_id = '''<function key_to_id at 0x10b5af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x150366e60>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11ff924d0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x117b9a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x117ba5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10b5af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10b5cab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10258f910>'''
+__load_module = '''<function import_module at 0x100ddb910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x117d227a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x115a16320>'''
+___from_numpy = '''<function from_numpy at 0x10ba5c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10929ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4350930080)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4422017296)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4325911472)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4329413808)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_1 Forward graph 0.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_1.AFTER_POST_GRAD.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_1 Forward graph 0.py
rename to tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_1.AFTER_POST_GRAD.0.py
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_1 Captured Graph 0.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_1.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_1 Captured Graph 0.py
rename to tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_1.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_1 tensorify_python_scalars 0.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_1.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_1 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_1.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_1 kernel 0.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_1.kernel_0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_1 kernel 0.py
rename to tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_1.kernel_0.py
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py
rename to tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_1.tensorify_python_scalars.0.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_1.tensorify_python_scalars.0.py
new file mode 100644
index 00000000..21d4d18b
--- /dev/null
+++ b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_1.tensorify_python_scalars.0.py
@@ -0,0 +1,15 @@
+from __future__ import annotations
+
+
+
+def forward(self, arg0_1: "f32[10]", arg1_1: "f32[10]"):
+     # File: /Users/youkaichao/data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:4 in toy_function, code: x = a / (torch.abs(a) + 1)
+    abs_1: "f32[10]" = torch.ops.aten.abs.default(arg0_1)
+    add: "f32[10]" = torch.ops.aten.add.Tensor(abs_1, 1);  abs_1 = None
+    div: "f32[10]" = torch.ops.aten.div.Tensor(arg0_1, add);  arg0_1 = add = None
+    
+     # File: /Users/youkaichao/data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:5 in toy_function, code: if b.sum() < 0:
+    sum_1: "f32[]" = torch.ops.aten.sum.default(arg1_1);  arg1_1 = None
+    lt: "b8[]" = torch.ops.aten.lt.Scalar(sum_1, 0);  sum_1 = None
+    return (div, lt)
+    
\ No newline at end of file
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_5 Forward graph 0.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_5.AFTER_POST_GRAD.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_5 Forward graph 0.py
rename to tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_5.AFTER_POST_GRAD.0.py
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_5 Captured Graph 0.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_5.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_5 Captured Graph 0.py
rename to tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_5.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_5 tensorify_python_scalars 0.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_5.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_5 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_5.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_5 kernel 0.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_5.kernel_0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_5 kernel 0.py
rename to tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_5.kernel_0.py
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
similarity index 100%
rename from tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py
rename to tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_5.tensorify_python_scalars.0.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_5.tensorify_python_scalars.0.py
new file mode 100644
index 00000000..c7d3fcde
--- /dev/null
+++ b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/__compiled_fn_5.tensorify_python_scalars.0.py
@@ -0,0 +1,9 @@
+from __future__ import annotations
+
+
+
+def forward(self, arg0_1: "f32[10]", arg1_1: "f32[10]"):
+     # File: /Users/youkaichao/data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:7 in torch_dynamo_resume_in_toy_function_at_5, code: return x * b
+    mul: "f32[10]" = torch.ops.aten.mul.Tensor(arg0_1, arg1_1);  arg0_1 = arg1_1 = None
+    return (mul,)
+    
\ No newline at end of file
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/full_code_for_toy_function_0.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/full_code_for_toy_function_0.py
index 2ace3f25..0d050b57 100644
--- a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/full_code_for_toy_function_0.py
+++ b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/full_code_for_toy_function_0.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x13ac82590>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13ba40af0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11dc54890>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x129275900>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11ddb4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x119565120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11ddb41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1195652d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11df9a950>'''
+___key_to_id = '''<function key_to_id at 0x1196af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x13aeecdc0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11e2cd6c0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11df9a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11dfa5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1196af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1196cab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10297b910>'''
+__load_module = '''<function import_module at 0x105127910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11e21a7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11c612320>'''
+___from_numpy = '''<function from_numpy at 0x119bd4280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10eb9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x13a87a8f0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13b8ef520>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11d890070>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x129194430>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11ddb4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x119565120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11ddb41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1195652d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11df9a950>'''
+___key_to_id = '''<function key_to_id at 0x1196af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x13aeecdc0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11e2cd6c0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11df9a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11dfa5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1196af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1196cab00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10297b910>'''
+__load_module = '''<function import_module at 0x105127910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11e21a7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11c612320>'''
+___from_numpy = '''<function from_numpy at 0x119bd4280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10eb9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4354878624)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4370637072)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4396493504)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4464990208)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/full_code_for_toy_function_1.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/full_code_for_toy_function_1.py
index 05bef819..3001117e 100644
--- a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/full_code_for_toy_function_1.py
+++ b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/full_code_for_toy_function_1.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x123984510>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x124524af0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10fc448f0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12957cca0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1168b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10a061120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1168b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10a0612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11699a950>'''
+___key_to_id = '''<function key_to_id at 0x10a1af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x123becdc0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x128bcd510>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11699a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1169a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10a1af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10a1c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10251f910>'''
+__load_module = '''<function import_module at 0x1011db910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x116b227a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11491e320>'''
+___from_numpy = '''<function from_numpy at 0x10a65c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x107fa0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12347e0d0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1244eb520>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10f894910>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1294943a0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1168b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10a061120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1168b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10a0612d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11699a950>'''
+___key_to_id = '''<function key_to_id at 0x10a1af9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x123becdc0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x128bcd510>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11699a4d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1169a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10a1af520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10a1c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10251f910>'''
+__load_module = '''<function import_module at 0x1011db910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x116b227a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11491e320>'''
+___from_numpy = '''<function from_numpy at 0x10a65c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x107fa0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4350307488)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4426211600)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4330106016)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4333608112)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/full_code_for_toy_function_2.py b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/full_code_for_toy_function_2.py
index 17dbf688..e56786c1 100644
--- a/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/full_code_for_toy_function_2.py
+++ b/tests/depyf_output/debug_function_inductor_without_dynamic_shape_without_grad/full_code_for_toy_function_2.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12c498510>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12d024af0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x14af548b0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x157d78ca0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11f6b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x124c65120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11f6b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x124c652d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11f796950>'''
+___key_to_id = '''<function key_to_id at 0x124daf9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12c700dc0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1572d9510>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11f7964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11f7a9990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x124daf520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x124dc6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x103143910>'''
+__load_module = '''<function import_module at 0x100583910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11f9227a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11d61a320>'''
+___from_numpy = '''<function from_numpy at 0x1263e0280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x122c98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_toy_function_at_5(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12c07a0d0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12cfeb520>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x14aa93990>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x157ca05e0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11f6b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x124c65120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11f6b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x124c652d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11f796950>'''
+___key_to_id = '''<function key_to_id at 0x124daf9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12c700dc0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1572d9510>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11f7964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11f7a9990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x124daf520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x124dc6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x103143910>'''
+__load_module = '''<function import_module at 0x100583910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11f9227a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11d61a320>'''
+___from_numpy = '''<function from_numpy at 0x1263e0280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x122c98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_toy_function(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4364889248)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4707229728)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4317178560)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4367472640)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1 Backward graph 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1.Backward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1 Backward graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1.Backward_graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1 Captured Graph 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1 Captured Graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1 Forward graph 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1 Forward graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1 Joint graph 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1.Joint_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1 Joint graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1.Joint_graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1 tensorify_python_scalars 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_1.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11 Backward graph 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11.Backward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11 Backward graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11.Backward_graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11 Captured Graph 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11 Captured Graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11 Forward graph 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11 Forward graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11 Joint graph 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11.Joint_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11 Joint graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11.Joint_graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11 pre insert_deferred_runtime_asserts __compiled_fn_11 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11.pre_insert_deferred_runtime_asserts___compiled_fn_11.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11 pre insert_deferred_runtime_asserts __compiled_fn_11 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11.pre_insert_deferred_runtime_asserts___compiled_fn_11.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11 tensorify_python_scalars 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_11.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5 Backward graph 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5.Backward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5 Backward graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5.Backward_graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5 Captured Graph 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5 Captured Graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5 Forward graph 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5 Forward graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5 Joint graph 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5.Joint_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5 Joint graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5.Joint_graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5 tensorify_python_scalars 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_5.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7 Backward graph 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7.Backward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7 Backward graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7.Backward_graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7 Captured Graph 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7 Captured Graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7 Forward graph 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7 Forward graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7 Joint graph 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7.Joint_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7 Joint graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7.Joint_graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7 pre insert_deferred_runtime_asserts __compiled_fn_7 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7.pre_insert_deferred_runtime_asserts___compiled_fn_7.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7 pre insert_deferred_runtime_asserts __compiled_fn_7 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7.pre_insert_deferred_runtime_asserts___compiled_fn_7.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7 tensorify_python_scalars 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/__compiled_fn_7.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/full_code_for_forward_0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/full_code_for_forward_0.py
index bc221cfa..2896bbee 100644
--- a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/full_code_for_forward_0.py
+++ b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/full_code_for_forward_0.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x127218c10>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x168692830>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10c000dd0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11e6a2b90>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1258b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x109d5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1258b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x109d5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x125996a70>'''
+___key_to_id = '''<function key_to_id at 0x109eabac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1685eeb90>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11e5d7130>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1259965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1259a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x109eab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x109ec6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10266f910>'''
+__load_module = '''<function import_module at 0x100e37910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x125b1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x12401e320>'''
+___from_numpy = '''<function from_numpy at 0x10aafc3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x107c9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1682ee5b0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1689f8ca0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11e6490b0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11ea1a440>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1258b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x109d5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1258b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x109d5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x125996a70>'''
+___key_to_id = '''<function key_to_id at 0x109eabac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1685eeb90>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11e5d7130>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1259965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1259a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x109eab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x109ec6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10266f910>'''
+__load_module = '''<function import_module at 0x100e37910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x125b1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x12401e320>'''
+___from_numpy = '''<function from_numpy at 0x10aafc3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x107c9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x127218c10>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x168692830>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10c000dd0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11e6a2b90>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1258b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x109d5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1258b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x109d5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x125996a70>'''
+___key_to_id = '''<function key_to_id at 0x109eabac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1685eeb90>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11e5d7130>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1259965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1259a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x109eab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x109ec6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10266f910>'''
+__load_module = '''<function import_module at 0x100e37910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x125b1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x12401e320>'''
+___from_numpy = '''<function from_numpy at 0x10aafc3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x107c9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1682ee5b0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1689f8ca0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11e6490b0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11ea1a440>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1258b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x109d5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1258b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x109d5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x125996a70>'''
+___key_to_id = '''<function key_to_id at 0x109eabac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1685eeb90>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11e5d7130>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1259965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1259a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x109eab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x109ec6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10266f910>'''
+__load_module = '''<function import_module at 0x100e37910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x125b1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x12401e320>'''
+___from_numpy = '''<function from_numpy at 0x10aafc3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x107c9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x168688b70>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1686927a0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11e649090>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11e96f130>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1258b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x109d5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1258b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x109d5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x125996a70>'''
+___key_to_id = '''<function key_to_id at 0x109eabac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1685eeb90>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11e5d7130>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1259965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1259a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x109eab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x109ec6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10266f910>'''
+__load_module = '''<function import_module at 0x100e37910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x125b1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x12401e320>'''
+___from_numpy = '''<function from_numpy at 0x10aafc3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x107c9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4371180384)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4404190864)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4326304448)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4329789280)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:14 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:15 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_forward(self, a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x127081bb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x16865f6d0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10bd61d50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11e6631c0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_forward(self, a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1258b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x109d5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1258b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x109d5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x125996a70>'''
+___key_to_id = '''<function key_to_id at 0x109eabac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1685eeb90>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11e5d7130>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1259965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1259a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x109eab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x109ec6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10266f910>'''
+__load_module = '''<function import_module at 0x100e37910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x125b1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x12401e320>'''
+___from_numpy = '''<function from_numpy at 0x10aafc3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x107c9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4371180384)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4404190864)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4326304448)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4329789280)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/full_code_for_forward_1.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/full_code_for_forward_1.py
index 66ef0877..c1c5fda2 100644
--- a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/full_code_for_forward_1.py
+++ b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/full_code_for_forward_1.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12a418bd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13db96830>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x127f00e10>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1570a2b90>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1289b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12645d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1289b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12645d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x128a96a70>'''
+___key_to_id = '''<function key_to_id at 0x1265abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x13daf2b90>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x156fd3130>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x128a965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x128aa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1265ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1265c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10512b910>'''
+__load_module = '''<function import_module at 0x100d73910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x128d1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11f31a320>'''
+___from_numpy = '''<function from_numpy at 0x1268dc3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x124c9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x13d7f6090>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13f3f8ca0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1570498f0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x15731e440>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1289b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12645d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1289b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12645d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x128a96a70>'''
+___key_to_id = '''<function key_to_id at 0x1265abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x13daf2b90>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x156fd3130>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x128a965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x128aa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1265ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1265c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10512b910>'''
+__load_module = '''<function import_module at 0x100d73910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x128d1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11f31a320>'''
+___from_numpy = '''<function from_numpy at 0x1268dc3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x124c9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12a418bd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13db96830>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x127f00e10>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1570a2b90>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1289b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12645d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1289b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12645d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x128a96a70>'''
+___key_to_id = '''<function key_to_id at 0x1265abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x13daf2b90>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x156fd3130>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x128a965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x128aa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1265ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1265c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10512b910>'''
+__load_module = '''<function import_module at 0x100d73910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x128d1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11f31a320>'''
+___from_numpy = '''<function from_numpy at 0x1268dc3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x124c9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x13d7f6090>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13f3f8ca0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1570498f0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x15731e440>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1289b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12645d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1289b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12645d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x128a96a70>'''
+___key_to_id = '''<function key_to_id at 0x1265abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x13daf2b90>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x156fd3130>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x128a965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x128aa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1265ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1265c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10512b910>'''
+__load_module = '''<function import_module at 0x100d73910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x128d1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11f31a320>'''
+___from_numpy = '''<function from_numpy at 0x1268dc3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x124c9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x13db8cb10>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13db96d40>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1570490d0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x157273130>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1289b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12645d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1289b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12645d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x128a96a70>'''
+___key_to_id = '''<function key_to_id at 0x1265abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x13daf2b90>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x156fd3130>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x128a965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x128aa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1265ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1265c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10512b910>'''
+__load_module = '''<function import_module at 0x100d73910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x128d1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11f31a320>'''
+___from_numpy = '''<function from_numpy at 0x1268dc3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x124c9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4405177024)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4706180752)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4325485488)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4393688080)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:14 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:15 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_forward(self, a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12a281dd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13db636d0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x127d5dd50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x15705f1c0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_forward(self, a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1289b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12645d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1289b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12645d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x128a96a70>'''
+___key_to_id = '''<function key_to_id at 0x1265abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x13daf2b90>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x156fd3130>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x128a965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x128aa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1265ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1265c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10512b910>'''
+__load_module = '''<function import_module at 0x100d73910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x128d1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11f31a320>'''
+___from_numpy = '''<function from_numpy at 0x1268dc3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x124c9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4405177024)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4706180752)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4325485488)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4393688080)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/full_code_for_forward_2.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/full_code_for_forward_2.py
index ee003628..cd2b25aa 100644
--- a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/full_code_for_forward_2.py
+++ b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_with_grad/full_code_for_forward_2.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x112d18bb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x125e96830>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x120504ff0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x130ea2b90>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1117b0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x116859240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1117b0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1168593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x111896a70>'''
+___key_to_id = '''<function key_to_id at 0x1169afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x125df2b90>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x130dd7130>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1118965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1118a1ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1169af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1169c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10067f910>'''
+__load_module = '''<function import_module at 0x100a67910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x111a1e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x107f1e320>'''
+___from_numpy = '''<function from_numpy at 0x116f5c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11379ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x125a024d0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1260f8160>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x130e498f0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13121e440>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1117b0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x116859240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1117b0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1168593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x111896a70>'''
+___key_to_id = '''<function key_to_id at 0x1169afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x125df2b90>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x130dd7130>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1118965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1118a1ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1169af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1169c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10067f910>'''
+__load_module = '''<function import_module at 0x100a67910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x111a1e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x107f1e320>'''
+___from_numpy = '''<function from_numpy at 0x116f5c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11379ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x112d18bb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x125e96830>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x120504ff0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x130ea2b90>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1117b0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x116859240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1117b0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1168593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x111896a70>'''
+___key_to_id = '''<function key_to_id at 0x1169afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x125df2b90>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x130dd7130>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1118965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1118a1ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1169af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1169c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10067f910>'''
+__load_module = '''<function import_module at 0x100a67910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x111a1e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x107f1e320>'''
+___from_numpy = '''<function from_numpy at 0x116f5c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11379ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x125a024d0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1260f8160>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x130e498f0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13121e440>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1117b0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x116859240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1117b0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1168593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x111896a70>'''
+___key_to_id = '''<function key_to_id at 0x1169afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x125df2b90>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x130dd7130>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1118965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1118a1ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1169af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1169c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10067f910>'''
+__load_module = '''<function import_module at 0x100a67910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x111a1e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x107f1e320>'''
+___from_numpy = '''<function from_numpy at 0x116f5c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11379ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x125e8cad0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x125e96d40>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x130e49170>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x131173130>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1117b0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x116859240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1117b0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1168593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x111896a70>'''
+___key_to_id = '''<function key_to_id at 0x1169afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x125df2b90>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x130dd7130>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1118965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1118a1ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1169af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1169c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10067f910>'''
+__load_module = '''<function import_module at 0x100a67910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x111a1e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x107f1e320>'''
+___from_numpy = '''<function from_numpy at 0x116f5c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11379ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4318194848)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4368539920)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4322306752)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4338112352)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:14 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:15 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_forward(self, a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x112b7dbb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x125e636d0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12035fb50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x130e631c0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_forward(self, a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1117b0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x116859240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1117b0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1168593f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x111896a70>'''
+___key_to_id = '''<function key_to_id at 0x1169afac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x125df2b90>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x130dd7130>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1118965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1118a1ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1169af640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1169c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10067f910>'''
+__load_module = '''<function import_module at 0x100a67910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x111a1e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x107f1e320>'''
+___from_numpy = '''<function from_numpy at 0x116f5c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11379ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4318194848)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4368539920)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4322306752)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4338112352)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1 Captured Graph 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1 Captured Graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1 Forward graph 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1 Forward graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1 tensorify_python_scalars 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_1.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11 Captured Graph 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11 Captured Graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11 Forward graph 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11 Forward graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11 pre insert_deferred_runtime_asserts __compiled_fn_11 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11.pre_insert_deferred_runtime_asserts___compiled_fn_11.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11 pre insert_deferred_runtime_asserts __compiled_fn_11 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11.pre_insert_deferred_runtime_asserts___compiled_fn_11.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11 tensorify_python_scalars 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_11.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5 Captured Graph 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5 Captured Graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5 Forward graph 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5 Forward graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5 tensorify_python_scalars 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_5.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7 Captured Graph 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7 Captured Graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7 Forward graph 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7 Forward graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7 pre insert_deferred_runtime_asserts __compiled_fn_7 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7.pre_insert_deferred_runtime_asserts___compiled_fn_7.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7 pre insert_deferred_runtime_asserts __compiled_fn_7 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7.pre_insert_deferred_runtime_asserts___compiled_fn_7.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7 tensorify_python_scalars 0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/__compiled_fn_7.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/full_code_for_forward_0.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/full_code_for_forward_0.py
index 911fb113..76a72386 100644
--- a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/full_code_for_forward_0.py
+++ b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/full_code_for_forward_0.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x115a18b90>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x116128f70>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1107fcbf0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11101f400>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1142b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10ee5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1142b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10ee5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x114392a70>'''
+___key_to_id = '''<function key_to_id at 0x10efabac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11606d1b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x110f537f0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1143925f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1143a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10efab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10efc6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10061b910>'''
+__load_module = '''<function import_module at 0x1047af910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11451a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x112a1a320>'''
+___from_numpy = '''<function from_numpy at 0x10f4583a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10cd9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1160ccb30>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1163335b0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x110fb92f0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11127c040>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1142b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10ee5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1142b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10ee5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x114392a70>'''
+___key_to_id = '''<function key_to_id at 0x10efabac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11606d1b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x110f537f0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1143925f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1143a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10efab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10efc6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10061b910>'''
+__load_module = '''<function import_module at 0x1047af910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11451a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x112a1a320>'''
+___from_numpy = '''<function from_numpy at 0x10f4583a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10cd9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x115a18b90>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x116128f70>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1107fcbf0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11101f400>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1142b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10ee5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1142b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10ee5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x114392a70>'''
+___key_to_id = '''<function key_to_id at 0x10efabac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11606d1b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x110f537f0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1143925f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1143a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10efab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10efc6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10061b910>'''
+__load_module = '''<function import_module at 0x1047af910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11451a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x112a1a320>'''
+___from_numpy = '''<function from_numpy at 0x10f4583a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10cd9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1160ccb30>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1163335b0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x110fb92f0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11127c040>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1142b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10ee5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1142b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10ee5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x114392a70>'''
+___key_to_id = '''<function key_to_id at 0x10efabac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11606d1b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x110f537f0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1143925f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1143a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10efab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10efc6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10061b910>'''
+__load_module = '''<function import_module at 0x1047af910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11451a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x112a1a320>'''
+___from_numpy = '''<function from_numpy at 0x10f4583a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10cd9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1160cd3d0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1163309d0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x110fb99f0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1111c3760>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1142b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10ee5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1142b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10ee5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x114392a70>'''
+___key_to_id = '''<function key_to_id at 0x10efabac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11606d1b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x110f537f0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1143925f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1143a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10efab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10efc6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10061b910>'''
+__load_module = '''<function import_module at 0x1047af910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11451a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x112a1a320>'''
+___from_numpy = '''<function from_numpy at 0x10f4583a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10cd9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4317784848)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4373782160)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4386548656)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4390051152)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:14 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:15 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_forward(self, a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11587dbb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1160eed40>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x110663b50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11101c700>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_forward(self, a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1142b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10ee5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1142b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10ee5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x114392a70>'''
+___key_to_id = '''<function key_to_id at 0x10efabac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11606d1b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x110f537f0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1143925f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1143a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10efab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10efc6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10061b910>'''
+__load_module = '''<function import_module at 0x1047af910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11451a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x112a1a320>'''
+___from_numpy = '''<function from_numpy at 0x10f4583a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10cd9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4317784848)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4373782160)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4386548656)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4390051152)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/full_code_for_forward_1.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/full_code_for_forward_1.py
index 6813ba93..c1c11733 100644
--- a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/full_code_for_forward_1.py
+++ b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/full_code_for_forward_1.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10f018bb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10f728f70>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x110e00df0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11161b400>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10d0b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10f25d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10d0b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10f25d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10d196a70>'''
+___key_to_id = '''<function key_to_id at 0x10f3abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10f66d1b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1114537f0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10d1965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10d1a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10f3ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10f3bec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100b97910>'''
+__load_module = '''<function import_module at 0x104c73910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10d31e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ae1a320>'''
+___from_numpy = '''<function from_numpy at 0x10f95c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10d2a0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10f6ccab0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10f9375b0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1114b9830>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x111878040>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10d0b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10f25d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10d0b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10f25d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10d196a70>'''
+___key_to_id = '''<function key_to_id at 0x10f3abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10f66d1b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1114537f0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10d1965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10d1a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10f3ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10f3bec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100b97910>'''
+__load_module = '''<function import_module at 0x104c73910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10d31e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ae1a320>'''
+___from_numpy = '''<function from_numpy at 0x10f95c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10d2a0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10f018bb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10f728f70>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x110e00df0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11161b400>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10d0b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10f25d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10d0b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10f25d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10d196a70>'''
+___key_to_id = '''<function key_to_id at 0x10f3abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10f66d1b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1114537f0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10d1965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10d1a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10f3ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10f3bec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100b97910>'''
+__load_module = '''<function import_module at 0x104c73910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10d31e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ae1a320>'''
+___from_numpy = '''<function from_numpy at 0x10f95c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10d2a0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10f6ccab0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10f9375b0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1114b9830>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x111878040>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10d0b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10f25d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10d0b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10f25d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10d196a70>'''
+___key_to_id = '''<function key_to_id at 0x10f3abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10f66d1b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1114537f0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10d1965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10d1a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10f3ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10f3bec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100b97910>'''
+__load_module = '''<function import_module at 0x104c73910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10d31e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ae1a320>'''
+___from_numpy = '''<function from_numpy at 0x10f95c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10d2a0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10f6cd3f0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10f9349d0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1114b9870>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1117c3760>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10d0b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10f25d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10d0b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10f25d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10d196a70>'''
+___key_to_id = '''<function key_to_id at 0x10f3abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10f66d1b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1114537f0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10d1965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10d1a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10f3ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10f3bec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100b97910>'''
+__load_module = '''<function import_module at 0x104c73910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10d31e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ae1a320>'''
+___from_numpy = '''<function from_numpy at 0x10f95c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10d2a0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4323535632)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4358053520)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4391561920)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4395046912)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:14 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:15 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_forward(self, a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10ee7dbb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10f6eed40>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x110c5fb50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x111618700>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_forward(self, a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10d0b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10f25d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10d0b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10f25d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10d196a70>'''
+___key_to_id = '''<function key_to_id at 0x10f3abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10f66d1b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1114537f0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10d1965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10d1a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10f3ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10f3bec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100b97910>'''
+__load_module = '''<function import_module at 0x104c73910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10d31e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ae1a320>'''
+___from_numpy = '''<function from_numpy at 0x10f95c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10d2a0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4323535632)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4358053520)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4391561920)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4395046912)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/full_code_for_forward_2.py b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/full_code_for_forward_2.py
index 31c80f47..93736ec8 100644
--- a/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/full_code_for_forward_2.py
+++ b/tests/depyf_output/debug_module_aot_eager_with_dynamic_shape_without_grad/full_code_for_forward_2.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x121b18bf0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x122328f70>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x120d00df0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12161b400>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1179b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11535d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1179b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11535d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x117b96a70>'''
+___key_to_id = '''<function key_to_id at 0x1154abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12226d1b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1214537f0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x117b965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x117ba5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1154ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1154c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104637910>'''
+__load_module = '''<function import_module at 0x100db3910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x117d1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11631a320>'''
+___from_numpy = '''<function from_numpy at 0x11795c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x113998a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1222cd150>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1226335b0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1214b9490>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x121874040>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1179b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11535d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1179b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11535d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x117b96a70>'''
+___key_to_id = '''<function key_to_id at 0x1154abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12226d1b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1214537f0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x117b965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x117ba5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1154ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1154c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104637910>'''
+__load_module = '''<function import_module at 0x100db3910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x117d1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11631a320>'''
+___from_numpy = '''<function from_numpy at 0x11795c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x113998a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x121b18bf0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x122328f70>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x120d00df0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12161b400>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1179b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11535d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1179b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11535d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x117b96a70>'''
+___key_to_id = '''<function key_to_id at 0x1154abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12226d1b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1214537f0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x117b965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x117ba5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1154ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1154c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104637910>'''
+__load_module = '''<function import_module at 0x100db3910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x117d1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11631a320>'''
+___from_numpy = '''<function from_numpy at 0x11795c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x113998a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1222cd150>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1226335b0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1214b9490>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x121874040>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1179b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11535d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1179b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11535d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x117b96a70>'''
+___key_to_id = '''<function key_to_id at 0x1154abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12226d1b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1214537f0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x117b965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x117ba5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1154ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1154c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104637910>'''
+__load_module = '''<function import_module at 0x100db3910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x117d1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11631a320>'''
+___from_numpy = '''<function from_numpy at 0x11795c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x113998a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1222cd430>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1226309d0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1214b98f0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x121618ca0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1179b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11535d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1179b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11535d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x117b96a70>'''
+___key_to_id = '''<function key_to_id at 0x1154abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12226d1b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1214537f0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x117b965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x117ba5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1154ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1154c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104637910>'''
+__load_module = '''<function import_module at 0x100db3910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x117d1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11631a320>'''
+___from_numpy = '''<function from_numpy at 0x11795c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x113998a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4385008800)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4418871568)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4325763776)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4384249696)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:14 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:15 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_forward(self, a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12197ddd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1222eed40>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x120b5fb50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x121618700>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_forward(self, a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1179b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11535d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1179b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11535d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x117b96a70>'''
+___key_to_id = '''<function key_to_id at 0x1154abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12226d1b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1214537f0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x117b965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x117ba5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1154ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1154c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104637910>'''
+__load_module = '''<function import_module at 0x100db3910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x117d1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11631a320>'''
+___from_numpy = '''<function from_numpy at 0x11795c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x113998a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4385008800)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4418871568)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4325763776)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4384249696)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1 Backward graph 0.py b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1.Backward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1 Backward graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1.Backward_graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1 Captured Graph 0.py b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1 Captured Graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1 Forward graph 0.py b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1 Forward graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1 Joint graph 0.py b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1.Joint_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1 Joint graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1.Joint_graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py
rename to tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1 tensorify_python_scalars 0.py b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_1.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5 Backward graph 0.py b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5.Backward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5 Backward graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5.Backward_graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5 Captured Graph 0.py b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5 Captured Graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5 Forward graph 0.py b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5 Forward graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5 Joint graph 0.py b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5.Joint_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5 Joint graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5.Joint_graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py
rename to tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5 tensorify_python_scalars 0.py b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/__compiled_fn_5.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/full_code_for_forward_0.py b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/full_code_for_forward_0.py
index ff0979d9..e4e9efa6 100644
--- a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/full_code_for_forward_0.py
+++ b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/full_code_for_forward_0.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10f118c10>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x128096830>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x118000dd0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11f2a2b90>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10d9b0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10ba5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10d9b0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10ba5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10da96a70>'''
+___key_to_id = '''<function key_to_id at 0x10bbabac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11f7f2b90>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11f1db130>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10da965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10daa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10bbab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10bbbac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10252b910>'''
+__load_module = '''<function import_module at 0x103263910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10dc1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10c11a320>'''
+___from_numpy = '''<function from_numpy at 0x10bfac3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10a19ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10ef7dbb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1280636d0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10fe5dd50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11f2631c0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10d9b0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10ba5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10d9b0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10ba5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10da96a70>'''
+___key_to_id = '''<function key_to_id at 0x10bbabac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11f7f2b90>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11f1db130>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10da965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10daa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10bbab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10bbbac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10252b910>'''
+__load_module = '''<function import_module at 0x103263910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10dc1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10c11a320>'''
+___from_numpy = '''<function from_numpy at 0x10bfac3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10a19ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4350356640)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4427260176)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4364233408)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4369569792)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/full_code_for_forward_1.py b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/full_code_for_forward_1.py
index 78ff5a9e..84103380 100644
--- a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/full_code_for_forward_1.py
+++ b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/full_code_for_forward_1.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10d218bd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11dd9e830>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x124afcdd0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1507a2b90>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10bbb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12285d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10bbb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12285d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10bc96a70>'''
+___key_to_id = '''<function key_to_id at 0x1229abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11dcfab90>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1506db130>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10bc965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10bca5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1229ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1229bac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1008ef910>'''
+__load_module = '''<function import_module at 0x10527b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10be1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10a31a320>'''
+___from_numpy = '''<function from_numpy at 0x122e5c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x1206a0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10d07dbb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11dd6b6d0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x124961d50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1507671c0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10bbb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12285d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10bbb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12285d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10bc96a70>'''
+___key_to_id = '''<function key_to_id at 0x1229abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11dcfab90>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1506db130>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10bc965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10bca5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1229ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1229bac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1008ef910>'''
+__load_module = '''<function import_module at 0x10527b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10be1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10a31a320>'''
+___from_numpy = '''<function from_numpy at 0x122e5c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x1206a0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4329401504)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4406288576)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4397870080)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4585577488)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/full_code_for_forward_2.py b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/full_code_for_forward_2.py
index 428c3c25..5e329d01 100644
--- a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/full_code_for_forward_2.py
+++ b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_with_grad/full_code_for_forward_2.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10a018bb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1198d2830>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x132c00fd0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x14a7a2b90>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1088b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x13115d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1088b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x13115d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x108996a70>'''
+___key_to_id = '''<function key_to_id at 0x1312abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11982eb90>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x14a6db130>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1089965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1089a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1312ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1312c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10057f910>'''
+__load_module = '''<function import_module at 0x104c2b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x108b1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10691a320>'''
+___from_numpy = '''<function from_numpy at 0x1317ac3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x117098a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x109e7ddd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11989f6d0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x132a63b50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x14a7631c0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1088b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x13115d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1088b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x13115d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x108996a70>'''
+___key_to_id = '''<function key_to_id at 0x1312abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11982eb90>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x14a6db130>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1089965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1089a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1312ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1312c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10057f910>'''
+__load_module = '''<function import_module at 0x104c2b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x108b1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10691a320>'''
+___from_numpy = '''<function from_numpy at 0x1317ac3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x117098a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4317146272)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4321468688)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4391267008)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4428289888)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1 Captured Graph 0.py b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1 Captured Graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1 Forward graph 0.py b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1 Forward graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py
rename to tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1 tensorify_python_scalars 0.py b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_1.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5 Captured Graph 0.py b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5 Captured Graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5 Forward graph 0.py b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5 Forward graph 0.py
rename to tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py
rename to tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5 tensorify_python_scalars 0.py b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/__compiled_fn_5.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/full_code_for_forward_0.py b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/full_code_for_forward_0.py
index 6bdbcece..d7715145 100644
--- a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/full_code_for_forward_0.py
+++ b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/full_code_for_forward_0.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x149418b90>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x14a328f70>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x117200bb0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x117a1b400>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1273b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11185d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1273b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11185d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x127692a70>'''
+___key_to_id = '''<function key_to_id at 0x111aabac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x14a26d1b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1179537f0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1276925f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1276a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x111aab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x111abec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10094f910>'''
+__load_module = '''<function import_module at 0x101403910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x14801a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x124b1a320>'''
+___from_numpy = '''<function from_numpy at 0x111f943a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x107e9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x14927dbb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x14a2ead40>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x117063b50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x117a18700>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1273b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11185d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1273b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11185d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x127692a70>'''
+___key_to_id = '''<function key_to_id at 0x111aabac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x14a26d1b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1179537f0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1276925f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1276a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x111aab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x111abec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10094f910>'''
+__load_module = '''<function import_module at 0x101403910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x14801a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x124b1a320>'''
+___from_numpy = '''<function from_numpy at 0x111f943a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x107e9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4321143968)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4408385808)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4332367008)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4335868944)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/full_code_for_forward_1.py b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/full_code_for_forward_1.py
index 3be67a04..bdf1cf2a 100644
--- a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/full_code_for_forward_1.py
+++ b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/full_code_for_forward_1.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x122e18bb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x123d28f70>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11a2fcdd0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11b21f400>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1215b0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11815d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1215b0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11815d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x121696a70>'''
+___key_to_id = '''<function key_to_id at 0x1182abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x123c6d1b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11b1537f0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1216965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1216a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1182ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1182c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10473b910>'''
+__load_module = '''<function import_module at 0x10295b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12181a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11641a320>'''
+___from_numpy = '''<function from_numpy at 0x1186ac3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10e99ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x122c7ddd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x123cead40>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11a161d50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11b21c700>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1215b0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11815d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1215b0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11815d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x121696a70>'''
+___key_to_id = '''<function key_to_id at 0x1182abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x123c6d1b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11b1537f0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1216965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1216a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1182ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1182c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10473b910>'''
+__load_module = '''<function import_module at 0x10295b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12181a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11641a320>'''
+___from_numpy = '''<function from_numpy at 0x1186ac3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10e99ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4386073760)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4411531536)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4354763456)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4432484192)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/full_code_for_forward_2.py b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/full_code_for_forward_2.py
index c1b34b9f..ef789c96 100644
--- a/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/full_code_for_forward_2.py
+++ b/tests/depyf_output/debug_module_aot_eager_without_dynamic_shape_without_grad/full_code_for_forward_2.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10eb18bb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x118528f70>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11cc00df0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11e717400>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10d3b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11b45d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10d3b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11b45d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10d496a70>'''
+___key_to_id = '''<function key_to_id at 0x11b5abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11846d1b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11e6537f0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10d4965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10d4a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11b5ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11b5bec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100caf910>'''
+__load_module = '''<function import_module at 0x104a6b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10d61a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10bb1a320>'''
+___from_numpy = '''<function from_numpy at 0x11b8f83a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x119a9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10e97dbb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1184ead40>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11ca61d50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11e714700>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10d3b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11b45d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10d3b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11b45d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10d496a70>'''
+___key_to_id = '''<function key_to_id at 0x11b5abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11846d1b0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11e6537f0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10d4965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10d4a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11b5ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11b5bec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100caf910>'''
+__load_module = '''<function import_module at 0x104a6b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10d61a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10bb1a320>'''
+___from_numpy = '''<function from_numpy at 0x11b8f83a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x119a9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4324682512)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4394753680)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4389432000)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4468135936)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_1 Captured Graph 0.py b/tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_1.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_1 Captured Graph 0.py
rename to tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_1.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py b/tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py
rename to tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
diff --git a/tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_11 Captured Graph 0.py b/tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_11.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_11 Captured Graph 0.py
rename to tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_11.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_11 pre insert_deferred_runtime_asserts __compiled_fn_11 0.py b/tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_11.pre_insert_deferred_runtime_asserts___compiled_fn_11.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_11 pre insert_deferred_runtime_asserts __compiled_fn_11 0.py
rename to tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_11.pre_insert_deferred_runtime_asserts___compiled_fn_11.0.py
diff --git a/tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_5 Captured Graph 0.py b/tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_5.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_5 Captured Graph 0.py
rename to tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_5.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py b/tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py
rename to tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
diff --git a/tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_7 Captured Graph 0.py b/tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_7.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_7 Captured Graph 0.py
rename to tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_7.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_7 pre insert_deferred_runtime_asserts __compiled_fn_7 0.py b/tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_7.pre_insert_deferred_runtime_asserts___compiled_fn_7.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_7 pre insert_deferred_runtime_asserts __compiled_fn_7 0.py
rename to tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/__compiled_fn_7.pre_insert_deferred_runtime_asserts___compiled_fn_7.0.py
diff --git a/tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/full_code_for_forward_0.py b/tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/full_code_for_forward_0.py
index 68a8923e..ec3a2bf3 100644
--- a/tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/full_code_for_forward_0.py
+++ b/tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/full_code_for_forward_0.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11c818dd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11ca8b370>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x122a00b10>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x122c95f30>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11a1b0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12105d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11a1b0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12105d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11a396a70>'''
+___key_to_id = '''<function key_to_id at 0x1211abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11c99dbd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x122c02b90>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11a3965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11a3a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1211ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1211c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100a17910>'''
+__load_module = '''<function import_module at 0x103243910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11a51e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11821a320>'''
+___from_numpy = '''<function from_numpy at 0x12165c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11669ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11ca59090>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11cf9d5a0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x122b1b570>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x122ed2f80>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11a1b0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12105d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11a1b0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12105d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11a396a70>'''
+___key_to_id = '''<function key_to_id at 0x1211abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11c99dbd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x122c02b90>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11a3965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11a3a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1211ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1211c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100a17910>'''
+__load_module = '''<function import_module at 0x103243910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11a51e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11821a320>'''
+___from_numpy = '''<function from_numpy at 0x12165c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11669ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11c818dd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11ca8b370>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x122a00b10>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x122c95f30>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11a1b0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12105d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11a1b0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12105d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11a396a70>'''
+___key_to_id = '''<function key_to_id at 0x1211abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11c99dbd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x122c02b90>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11a3965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11a3a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1211ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1211c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100a17910>'''
+__load_module = '''<function import_module at 0x103243910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11a51e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11821a320>'''
+___from_numpy = '''<function from_numpy at 0x12165c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11669ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11ca59090>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11cf9d5a0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x122b1b570>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x122ed2f80>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11a1b0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12105d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11a1b0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12105d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11a396a70>'''
+___key_to_id = '''<function key_to_id at 0x1211abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11c99dbd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x122c02b90>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11a3965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11a3a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1211ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1211c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100a17910>'''
+__load_module = '''<function import_module at 0x103243910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11a51e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11821a320>'''
+___from_numpy = '''<function from_numpy at 0x12165c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11669ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11bd7dd50>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11cf9ec20>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x122c51530>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x122ed0c10>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11a1b0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12105d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11a1b0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12105d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11a396a70>'''
+___key_to_id = '''<function key_to_id at 0x1211abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11c99dbd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x122c02b90>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11a3965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11a3a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1211ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1211c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100a17910>'''
+__load_module = '''<function import_module at 0x103243910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11a51e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11821a320>'''
+___from_numpy = '''<function from_numpy at 0x12165c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11669ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4321963168)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4371685648)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4364249952)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4575091408)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:14 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:15 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_forward(self, a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11bd7ddd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11ca897e0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x122863b50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x122c94790>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_forward(self, a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11a1b0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12105d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11a1b0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12105d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11a396a70>'''
+___key_to_id = '''<function key_to_id at 0x1211abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11c99dbd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x122c02b90>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11a3965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11a3a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1211ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1211c6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100a17910>'''
+__load_module = '''<function import_module at 0x103243910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11a51e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11821a320>'''
+___from_numpy = '''<function from_numpy at 0x12165c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11669ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4321963168)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4371685648)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4364249952)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4575091408)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/full_code_for_forward_1.py b/tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/full_code_for_forward_1.py
index 210eb0bb..d3e39f25 100644
--- a/tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/full_code_for_forward_1.py
+++ b/tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/full_code_for_forward_1.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x117f18df0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12018b370>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11ff00df0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x120195cf0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1165b0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11e35d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1165b0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11e35d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x116796a70>'''
+___key_to_id = '''<function key_to_id at 0x11e4abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x120099bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x120106950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1167965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1167a1ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11e4ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11e4bec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102a5b910>'''
+__load_module = '''<function import_module at 0x101413910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x116a1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x114e1a320>'''
+___from_numpy = '''<function from_numpy at 0x11e9583a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11ca98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x120154ff0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12039d5a0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x120151290>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1204d2dd0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1165b0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11e35d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1165b0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11e35d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x116796a70>'''
+___key_to_id = '''<function key_to_id at 0x11e4abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x120099bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x120106950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1167965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1167a1ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11e4ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11e4bec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102a5b910>'''
+__load_module = '''<function import_module at 0x101413910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x116a1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x114e1a320>'''
+___from_numpy = '''<function from_numpy at 0x11e9583a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11ca98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x117f18df0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12018b370>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11ff00df0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x120195cf0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1165b0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11e35d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1165b0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11e35d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x116796a70>'''
+___key_to_id = '''<function key_to_id at 0x11e4abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x120099bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x120106950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1167965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1167a1ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11e4ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11e4bec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102a5b910>'''
+__load_module = '''<function import_module at 0x101413910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x116a1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x114e1a320>'''
+___from_numpy = '''<function from_numpy at 0x11e9583a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11ca98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x120154ff0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12039d5a0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x120151290>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1204d2dd0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1165b0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11e35d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1165b0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11e35d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x116796a70>'''
+___key_to_id = '''<function key_to_id at 0x11e4abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x120099bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x120106950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1167965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1167a1ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11e4ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11e4bec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102a5b910>'''
+__load_module = '''<function import_module at 0x101413910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x116a1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x114e1a320>'''
+___from_numpy = '''<function from_numpy at 0x11e9583a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11ca98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x117d7dd50>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12039ec20>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12001f290>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1204d0ee0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1165b0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11e35d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1165b0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11e35d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x116796a70>'''
+___key_to_id = '''<function key_to_id at 0x11e4abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x120099bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x120106950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1167965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1167a1ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11e4ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11e4bec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102a5b910>'''
+__load_module = '''<function import_module at 0x101413910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x116a1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x114e1a320>'''
+___from_numpy = '''<function from_numpy at 0x11e9583a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11ca98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4355796128)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4423065872)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4332448448)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4335933440)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:14 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:15 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_forward(self, a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x117d7ddd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1201897e0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11fd63b50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x120194550>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_forward(self, a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1165b0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11e35d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1165b0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11e35d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x116796a70>'''
+___key_to_id = '''<function key_to_id at 0x11e4abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x120099bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x120106950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1167965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1167a1ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11e4ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11e4bec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102a5b910>'''
+__load_module = '''<function import_module at 0x101413910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x116a1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x114e1a320>'''
+___from_numpy = '''<function from_numpy at 0x11e9583a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11ca98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4355796128)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4423065872)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4332448448)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4335933440)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/full_code_for_forward_2.py b/tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/full_code_for_forward_2.py
index 04edf9c3..4968f42e 100644
--- a/tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/full_code_for_forward_2.py
+++ b/tests/depyf_output/debug_module_eager_with_dynamic_shape_with_grad/full_code_for_forward_2.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x115418db0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x115683370>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12b004df0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12b295cf0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x113db4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10fc5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x113db4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10fc5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x113f96a70>'''
+___key_to_id = '''<function key_to_id at 0x10feafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x115599bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12b20a950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x113f965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x113fa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10feaf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10fec6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10102f910>'''
+__load_module = '''<function import_module at 0x10491b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11411e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x112416320>'''
+___from_numpy = '''<function from_numpy at 0x129c583a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10b19ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x115654f70>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11599d510>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12b11f0f0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12b4ab0a0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x113db4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10fc5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x113db4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10fc5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x113f96a70>'''
+___key_to_id = '''<function key_to_id at 0x10feafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x115599bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12b20a950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x113f965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x113fa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10feaf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10fec6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10102f910>'''
+__load_module = '''<function import_module at 0x10491b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11411e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x112416320>'''
+___from_numpy = '''<function from_numpy at 0x129c583a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10b19ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x115418db0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x115683370>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12b004df0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12b295cf0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x113db4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10fc5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x113db4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10fc5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x113f96a70>'''
+___key_to_id = '''<function key_to_id at 0x10feafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x115599bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12b20a950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x113f965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x113fa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10feaf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10fec6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10102f910>'''
+__load_module = '''<function import_module at 0x10491b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11411e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x112416320>'''
+___from_numpy = '''<function from_numpy at 0x129c583a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10b19ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x115654f70>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11599d510>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12b11f0f0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12b4ab0a0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x113db4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10fc5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x113db4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10fc5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x113f96a70>'''
+___key_to_id = '''<function key_to_id at 0x10feafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x115599bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12b20a950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x113f965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x113fa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10feaf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10fec6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10102f910>'''
+__load_module = '''<function import_module at 0x10491b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11411e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x112416320>'''
+___from_numpy = '''<function from_numpy at 0x129c583a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10b19ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11527dd50>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11599ec20>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12b11f030>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12b4a8ee0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x113db4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10fc5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x113db4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10fc5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x113f96a70>'''
+___key_to_id = '''<function key_to_id at 0x10feafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x115599bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12b20a950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x113f965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x113fa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10feaf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10fec6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10102f910>'''
+__load_module = '''<function import_module at 0x10491b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11411e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x112416320>'''
+___from_numpy = '''<function from_numpy at 0x129c583a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10b19ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4330286240)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4371685648)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4388055744)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4391540576)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:14 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:15 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_forward(self, a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11527ddd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1156817e0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12ad63b50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12b294550>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_forward(self, a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x113db4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10fc5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x113db4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10fc5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x113f96a70>'''
+___key_to_id = '''<function key_to_id at 0x10feafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x115599bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12b20a950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x113f965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x113fa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10feaf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10fec6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10102f910>'''
+__load_module = '''<function import_module at 0x10491b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11411e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x112416320>'''
+___from_numpy = '''<function from_numpy at 0x129c583a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10b19ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4330286240)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4371685648)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4388055744)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4391540576)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_1 Captured Graph 0.py b/tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_1.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_1 Captured Graph 0.py
rename to tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_1.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py b/tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py
rename to tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
diff --git a/tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_11 Captured Graph 0.py b/tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_11.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_11 Captured Graph 0.py
rename to tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_11.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_11 pre insert_deferred_runtime_asserts __compiled_fn_11 0.py b/tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_11.pre_insert_deferred_runtime_asserts___compiled_fn_11.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_11 pre insert_deferred_runtime_asserts __compiled_fn_11 0.py
rename to tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_11.pre_insert_deferred_runtime_asserts___compiled_fn_11.0.py
diff --git a/tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_5 Captured Graph 0.py b/tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_5.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_5 Captured Graph 0.py
rename to tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_5.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py b/tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py
rename to tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
diff --git a/tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_7 Captured Graph 0.py b/tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_7.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_7 Captured Graph 0.py
rename to tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_7.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_7 pre insert_deferred_runtime_asserts __compiled_fn_7 0.py b/tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_7.pre_insert_deferred_runtime_asserts___compiled_fn_7.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_7 pre insert_deferred_runtime_asserts __compiled_fn_7 0.py
rename to tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/__compiled_fn_7.pre_insert_deferred_runtime_asserts___compiled_fn_7.0.py
diff --git a/tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/full_code_for_forward_0.py b/tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/full_code_for_forward_0.py
index 2b58c232..561cac35 100644
--- a/tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/full_code_for_forward_0.py
+++ b/tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/full_code_for_forward_0.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x119d18db0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x119f86dd0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12d100af0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12d395e10>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10feb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12b75d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10feb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12b75d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10ff92a70>'''
+___key_to_id = '''<function key_to_id at 0x12b8abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x119e9dbd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12d306b90>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10ff925f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10ffa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12b8ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x12b8bec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10270f910>'''
+__load_module = '''<function import_module at 0x102d2f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11811a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10de16320>'''
+___from_numpy = '''<function from_numpy at 0x12bbe03a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x129e9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x119d1add0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11a2a37f0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12d350bf0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12d1f5360>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10feb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12b75d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10feb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12b75d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10ff92a70>'''
+___key_to_id = '''<function key_to_id at 0x12b8abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x119e9dbd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12d306b90>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10ff925f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10ffa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12b8ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x12b8bec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10270f910>'''
+__load_module = '''<function import_module at 0x102d2f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11811a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10de16320>'''
+___from_numpy = '''<function from_numpy at 0x12bbe03a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x129e9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x119d18db0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x119f86dd0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12d100af0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12d395e10>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10feb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12b75d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10feb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12b75d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10ff92a70>'''
+___key_to_id = '''<function key_to_id at 0x12b8abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x119e9dbd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12d306b90>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10ff925f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10ffa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12b8ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x12b8bec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10270f910>'''
+__load_module = '''<function import_module at 0x102d2f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11811a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10de16320>'''
+___from_numpy = '''<function from_numpy at 0x12bbe03a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x129e9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x119d1add0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11a2a37f0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12d350bf0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12d1f5360>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10feb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12b75d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10feb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12b75d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10ff92a70>'''
+___key_to_id = '''<function key_to_id at 0x12b8abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x119e9dbd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12d306b90>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10ff925f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10ffa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12b8ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x12b8bec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10270f910>'''
+__load_module = '''<function import_module at 0x102d2f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11811a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10de16320>'''
+___from_numpy = '''<function from_numpy at 0x12bbe03a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x129e9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x119f55010>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11a058820>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12d350e30>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12d69beb0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10feb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12b75d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10feb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12b75d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10ff92a70>'''
+___key_to_id = '''<function key_to_id at 0x12b8abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x119e9dbd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12d306b90>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10ff925f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10ffa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12b8ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x12b8bec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10270f910>'''
+__load_module = '''<function import_module at 0x102d2f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11811a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10de16320>'''
+___from_numpy = '''<function from_numpy at 0x12bbe03a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x129e9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4354895008)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4439843008)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4358761632)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4412562608)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:14 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:15 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_forward(self, a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x119b7ddd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x119f857e0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12cf5fb50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12d394790>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_forward(self, a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10feb4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12b75d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10feb4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12b75d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10ff92a70>'''
+___key_to_id = '''<function key_to_id at 0x12b8abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x119e9dbd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12d306b90>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10ff925f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10ffa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12b8ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x12b8bec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10270f910>'''
+__load_module = '''<function import_module at 0x102d2f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11811a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10de16320>'''
+___from_numpy = '''<function from_numpy at 0x12bbe03a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x129e9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4354895008)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4439843008)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4358761632)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4412562608)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/full_code_for_forward_1.py b/tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/full_code_for_forward_1.py
index 81be5374..25bebcd6 100644
--- a/tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/full_code_for_forward_1.py
+++ b/tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/full_code_for_forward_1.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x120118db0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12038add0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x112900e10>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x112c94550>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1169b0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10fe5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1169b0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10fe5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x116a96a70>'''
+___key_to_id = '''<function key_to_id at 0x10ffabac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x120299bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x112ac8280>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x116a965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x116aa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10ffab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10ffbec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102f4b910>'''
+__load_module = '''<function import_module at 0x104e2f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x116d1e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x114a1a320>'''
+___from_numpy = '''<function from_numpy at 0x11055c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10e59ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12011adb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12059f7f0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x112c509f0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x112f9bd90>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1169b0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10fe5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1169b0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10fe5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x116a96a70>'''
+___key_to_id = '''<function key_to_id at 0x10ffabac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x120299bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x112ac8280>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x116a965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x116aa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10ffab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10ffbec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102f4b910>'''
+__load_module = '''<function import_module at 0x104e2f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x116d1e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x114a1a320>'''
+___from_numpy = '''<function from_numpy at 0x11055c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10e59ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x120118db0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12038add0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x112900e10>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x112c94550>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1169b0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10fe5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1169b0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10fe5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x116a96a70>'''
+___key_to_id = '''<function key_to_id at 0x10ffabac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x120299bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x112ac8280>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x116a965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x116aa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10ffab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10ffbec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102f4b910>'''
+__load_module = '''<function import_module at 0x104e2f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x116d1e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x114a1a320>'''
+___from_numpy = '''<function from_numpy at 0x11055c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10e59ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12011adb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12059f7f0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x112c509f0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x112f9bd90>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1169b0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10fe5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1169b0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10fe5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x116a96a70>'''
+___key_to_id = '''<function key_to_id at 0x10ffabac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x120299bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x112ac8280>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x116a965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x116aa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10ffab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10ffbec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102f4b910>'''
+__load_module = '''<function import_module at 0x104e2f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x116d1e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x114a1a320>'''
+___from_numpy = '''<function from_numpy at 0x11055c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10e59ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x120350fd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x120454820>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x111f61b90>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x112f9be20>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1169b0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10fe5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1169b0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10fe5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x116a96a70>'''
+___key_to_id = '''<function key_to_id at 0x10ffabac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x120299bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x112ac8280>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x116a965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x116aa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10ffab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10ffbec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102f4b910>'''
+__load_module = '''<function import_module at 0x104e2f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x116d1e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x114a1a320>'''
+___from_numpy = '''<function from_numpy at 0x11055c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10e59ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4360973472)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4428308672)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4393380544)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4415707136)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:14 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:15 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_forward(self, a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x117f7fbb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1203897e0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x111f63b50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x112c94280>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_forward(self, a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1169b0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10fe5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1169b0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10fe5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x116a96a70>'''
+___key_to_id = '''<function key_to_id at 0x10ffabac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x120299bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x112ac8280>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x116a965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x116aa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10ffab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10ffbec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102f4b910>'''
+__load_module = '''<function import_module at 0x104e2f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x116d1e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x114a1a320>'''
+___from_numpy = '''<function from_numpy at 0x11055c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10e59ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4360973472)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4428308672)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4393380544)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4415707136)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/full_code_for_forward_2.py b/tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/full_code_for_forward_2.py
index 08ddc00e..e9b0e2fc 100644
--- a/tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/full_code_for_forward_2.py
+++ b/tests/depyf_output/debug_module_eager_with_dynamic_shape_without_grad/full_code_for_forward_2.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x116d18dd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11708add0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x118404af0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x118695e10>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1156b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10cf5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1156b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10cf5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11579aa70>'''
+___key_to_id = '''<function key_to_id at 0x10d8abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x116e99bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x118602b90>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11579a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1157a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10d8ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10d8bac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10071b910>'''
+__load_module = '''<function import_module at 0x100cff910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11591a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11361a320>'''
+___from_numpy = '''<function from_numpy at 0x10de643a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10b79ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x116d1a6d0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11729feb0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x118650d30>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11872b370>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1156b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10cf5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1156b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10cf5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11579aa70>'''
+___key_to_id = '''<function key_to_id at 0x10d8abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x116e99bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x118602b90>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11579a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1157a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10d8ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10d8bac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10071b910>'''
+__load_module = '''<function import_module at 0x100cff910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11591a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11361a320>'''
+___from_numpy = '''<function from_numpy at 0x10de643a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10b79ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x116d18dd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11708add0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x118404af0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x118695e10>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1156b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10cf5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1156b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10cf5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11579aa70>'''
+___key_to_id = '''<function key_to_id at 0x10d8abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x116e99bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x118602b90>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11579a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1157a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10d8ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10d8bac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10071b910>'''
+__load_module = '''<function import_module at 0x100cff910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11591a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11361a320>'''
+___from_numpy = '''<function from_numpy at 0x10de643a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10b79ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x116d1a6d0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11729feb0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x118650d30>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11872b370>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1156b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10cf5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1156b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10cf5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11579aa70>'''
+___key_to_id = '''<function key_to_id at 0x10d8abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x116e99bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x118602b90>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11579a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1157a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10d8ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10d8bac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10071b910>'''
+__load_module = '''<function import_module at 0x100cff910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11591a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11361a320>'''
+___from_numpy = '''<function from_numpy at 0x10de643a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10b79ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x117055010>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x117158820>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1186514f0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11889beb0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1156b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10cf5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1156b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10cf5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11579aa70>'''
+___key_to_id = '''<function key_to_id at 0x10d8abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x116e99bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x118602b90>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11579a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1157a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10d8ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10d8bac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10071b910>'''
+__load_module = '''<function import_module at 0x100cff910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11591a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11361a320>'''
+___from_numpy = '''<function from_numpy at 0x10de643a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10b79ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4321356480)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4396850832)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4325026496)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4403124224)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:14 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:15 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_forward(self, a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x116b7fbb0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1170897e0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x118261d50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x118694790>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_forward(self, a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1156b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10cf5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1156b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10cf5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11579aa70>'''
+___key_to_id = '''<function key_to_id at 0x10d8abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x116e99bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x118602b90>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11579a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1157a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10d8ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10d8bac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10071b910>'''
+__load_module = '''<function import_module at 0x100cff910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11591a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11361a320>'''
+___from_numpy = '''<function from_numpy at 0x10de643a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10b79ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4321356480)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4396850832)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4325026496)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4403124224)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_eager_without_dynamic_shape_with_grad/__compiled_fn_1 Captured Graph 0.py b/tests/depyf_output/debug_module_eager_without_dynamic_shape_with_grad/__compiled_fn_1.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_eager_without_dynamic_shape_with_grad/__compiled_fn_1 Captured Graph 0.py
rename to tests/depyf_output/debug_module_eager_without_dynamic_shape_with_grad/__compiled_fn_1.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_eager_without_dynamic_shape_with_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py b/tests/depyf_output/debug_module_eager_without_dynamic_shape_with_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_eager_without_dynamic_shape_with_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py
rename to tests/depyf_output/debug_module_eager_without_dynamic_shape_with_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
diff --git a/tests/depyf_output/debug_module_eager_without_dynamic_shape_with_grad/__compiled_fn_5 Captured Graph 0.py b/tests/depyf_output/debug_module_eager_without_dynamic_shape_with_grad/__compiled_fn_5.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_eager_without_dynamic_shape_with_grad/__compiled_fn_5 Captured Graph 0.py
rename to tests/depyf_output/debug_module_eager_without_dynamic_shape_with_grad/__compiled_fn_5.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_eager_without_dynamic_shape_with_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py b/tests/depyf_output/debug_module_eager_without_dynamic_shape_with_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_eager_without_dynamic_shape_with_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py
rename to tests/depyf_output/debug_module_eager_without_dynamic_shape_with_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
diff --git a/tests/depyf_output/debug_module_eager_without_dynamic_shape_with_grad/full_code_for_forward_0.py b/tests/depyf_output/debug_module_eager_without_dynamic_shape_with_grad/full_code_for_forward_0.py
index 0f6e7f59..3df1ba23 100644
--- a/tests/depyf_output/debug_module_eager_without_dynamic_shape_with_grad/full_code_for_forward_0.py
+++ b/tests/depyf_output/debug_module_eager_without_dynamic_shape_with_grad/full_code_for_forward_0.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10c918dd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10cb8b370>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x117904c30>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x117b95f30>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10a8b0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x115f5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10a8b0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x115f5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10aa96a70>'''
+___key_to_id = '''<function key_to_id at 0x1160abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10ca9dbd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x117b02b90>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10aa965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10aaa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1160ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1160bec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x101093910>'''
+__load_module = '''<function import_module at 0x103317910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10ac1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10911e320>'''
+___from_numpy = '''<function from_numpy at 0x1164a83a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x113d94a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10c67ddd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10cb897e0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x117763b50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x117b94790>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10a8b0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x115f5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10a8b0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x115f5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10aa96a70>'''
+___key_to_id = '''<function key_to_id at 0x1160abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10ca9dbd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x117b02b90>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10aa965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10aaa5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1160ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1160bec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x101093910>'''
+__load_module = '''<function import_module at 0x103317910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10ac1a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10911e320>'''
+___from_numpy = '''<function from_numpy at 0x1164a83a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x113d94a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4328762528)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4387414288)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4364970688)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4423047008)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_eager_without_dynamic_shape_with_grad/full_code_for_forward_1.py b/tests/depyf_output/debug_module_eager_without_dynamic_shape_with_grad/full_code_for_forward_1.py
index 098cbab8..e2f169c9 100644
--- a/tests/depyf_output/debug_module_eager_without_dynamic_shape_with_grad/full_code_for_forward_1.py
+++ b/tests/depyf_output/debug_module_eager_without_dynamic_shape_with_grad/full_code_for_forward_1.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10ba18d90>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10bc8b370>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x121100dd0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x121395cf0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10a2b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x116d5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10a2b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x116d5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10a39aa70>'''
+___key_to_id = '''<function key_to_id at 0x116eabac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10bb99bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x121306950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10a39a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10a3a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x116eab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x116ebac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102d13910>'''
+__load_module = '''<function import_module at 0x10281b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10a51a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x1083de320>'''
+___from_numpy = '''<function from_numpy at 0x1173983a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11429ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10b87ddd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10bc897e0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x120f61d50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x121394550>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10a2b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x116d5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10a2b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x116d5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10a39aa70>'''
+___key_to_id = '''<function key_to_id at 0x116eabac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10bb99bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x121306950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10a39a5f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10a3a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x116eab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x116ebac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102d13910>'''
+__load_module = '''<function import_module at 0x10281b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10a51a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x1083de320>'''
+___from_numpy = '''<function from_numpy at 0x1173983a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11429ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4358646944)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4362969360)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4353452736)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4379006976)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_eager_without_dynamic_shape_with_grad/full_code_for_forward_2.py b/tests/depyf_output/debug_module_eager_without_dynamic_shape_with_grad/full_code_for_forward_2.py
index 4c0974e7..5920d6ca 100644
--- a/tests/depyf_output/debug_module_eager_without_dynamic_shape_with_grad/full_code_for_forward_2.py
+++ b/tests/depyf_output/debug_module_eager_without_dynamic_shape_with_grad/full_code_for_forward_2.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10dc18d90>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10de8b370>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x115b04dd0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x115d95cf0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10b5b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x113f5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10b5b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x113f5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10b692a70>'''
+___key_to_id = '''<function key_to_id at 0x1140abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10dd99bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x115d0a950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10b6925f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10b6a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1140ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1140bac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x101053910>'''
+__load_module = '''<function import_module at 0x1006bf910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10c01a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x109b1a320>'''
+___from_numpy = '''<function from_numpy at 0x1146603a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x111e9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10da7ddd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10de897e0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x115961d50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x115d94550>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10b5b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x113f5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10b5b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x113f5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10b692a70>'''
+___key_to_id = '''<function key_to_id at 0x1140abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10dd99bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x115d0a950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10b6925f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10b6a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1140ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1140bac20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x101053910>'''
+__load_module = '''<function import_module at 0x1006bf910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10c01a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x109b1a320>'''
+___from_numpy = '''<function from_numpy at 0x1146603a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x111e9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4328500384)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4388462864)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4318472896)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4321957888)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_eager_without_dynamic_shape_without_grad/__compiled_fn_1 Captured Graph 0.py b/tests/depyf_output/debug_module_eager_without_dynamic_shape_without_grad/__compiled_fn_1.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_eager_without_dynamic_shape_without_grad/__compiled_fn_1 Captured Graph 0.py
rename to tests/depyf_output/debug_module_eager_without_dynamic_shape_without_grad/__compiled_fn_1.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_eager_without_dynamic_shape_without_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py b/tests/depyf_output/debug_module_eager_without_dynamic_shape_without_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_eager_without_dynamic_shape_without_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py
rename to tests/depyf_output/debug_module_eager_without_dynamic_shape_without_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
diff --git a/tests/depyf_output/debug_module_eager_without_dynamic_shape_without_grad/__compiled_fn_5 Captured Graph 0.py b/tests/depyf_output/debug_module_eager_without_dynamic_shape_without_grad/__compiled_fn_5.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_eager_without_dynamic_shape_without_grad/__compiled_fn_5 Captured Graph 0.py
rename to tests/depyf_output/debug_module_eager_without_dynamic_shape_without_grad/__compiled_fn_5.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_eager_without_dynamic_shape_without_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py b/tests/depyf_output/debug_module_eager_without_dynamic_shape_without_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_eager_without_dynamic_shape_without_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py
rename to tests/depyf_output/debug_module_eager_without_dynamic_shape_without_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
diff --git a/tests/depyf_output/debug_module_eager_without_dynamic_shape_without_grad/full_code_for_forward_0.py b/tests/depyf_output/debug_module_eager_without_dynamic_shape_without_grad/full_code_for_forward_0.py
index a15de2b6..82ee3d8d 100644
--- a/tests/depyf_output/debug_module_eager_without_dynamic_shape_without_grad/full_code_for_forward_0.py
+++ b/tests/depyf_output/debug_module_eager_without_dynamic_shape_without_grad/full_code_for_forward_0.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x118418d90>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11868add0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x124804e10>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x124a98550>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10edb0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x122c5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10edb0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x122c5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10ee96a70>'''
+___key_to_id = '''<function key_to_id at 0x122dafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11859dbd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1249c4280>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10ee965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10eea5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x122daf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x122dc6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104b57910>'''
+__load_module = '''<function import_module at 0x1013bb910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10f01e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10c816320>'''
+___from_numpy = '''<function from_numpy at 0x12335c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x121298a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11827ddd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1186897e0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x124663b50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x124a98280>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10edb0160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x122c5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10edb0310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x122c5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10ee96a70>'''
+___key_to_id = '''<function key_to_id at 0x122dafac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11859dbd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1249c4280>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10ee965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10eea5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x122daf640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x122dc6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104b57910>'''
+__load_module = '''<function import_module at 0x1013bb910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10f01e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10c816320>'''
+___from_numpy = '''<function from_numpy at 0x12335c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x121298a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4390382752)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4440891664)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4332088000)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4335572992)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_eager_without_dynamic_shape_without_grad/full_code_for_forward_1.py b/tests/depyf_output/debug_module_eager_without_dynamic_shape_without_grad/full_code_for_forward_1.py
index e288a62c..044aa93a 100644
--- a/tests/depyf_output/debug_module_eager_without_dynamic_shape_without_grad/full_code_for_forward_1.py
+++ b/tests/depyf_output/debug_module_eager_without_dynamic_shape_without_grad/full_code_for_forward_1.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12bb18db0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12bd86dd0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x117d00b30>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x117f95e10>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12a3b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11595d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12a3b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11595d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x12a596a70>'''
+___key_to_id = '''<function key_to_id at 0x115aabac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12bc99bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x117f02b90>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12a5965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x12a5a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x115aab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x115ac6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1032e7910>'''
+__load_module = '''<function import_module at 0x1030eb910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12a71e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x128b16320>'''
+___from_numpy = '''<function from_numpy at 0x11695c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11409ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12b97ddd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12bd857e0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x117b63b50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x117f94790>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12a3b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11595d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12a3b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11595d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x12a596a70>'''
+___key_to_id = '''<function key_to_id at 0x115aabac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12bc99bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x117f02b90>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12a5965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x12a5a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x115aab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x115ac6c20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1032e7910>'''
+__load_module = '''<function import_module at 0x1030eb910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12a71e8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x128b16320>'''
+___from_numpy = '''<function from_numpy at 0x11695c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11409ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4364758176)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4774338832)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4362693312)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4394735456)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_eager_without_dynamic_shape_without_grad/full_code_for_forward_2.py b/tests/depyf_output/debug_module_eager_without_dynamic_shape_without_grad/full_code_for_forward_2.py
index 725171a1..59308f73 100644
--- a/tests/depyf_output/debug_module_eager_without_dynamic_shape_without_grad/full_code_for_forward_2.py
+++ b/tests/depyf_output/debug_module_eager_without_dynamic_shape_without_grad/full_code_for_forward_2.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10a318d90>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10a586dd0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11e600df0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11e895bd0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1083b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11af5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1083b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11af5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x108596a70>'''
+___key_to_id = '''<function key_to_id at 0x11b0abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10a499bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11e806950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1085965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1085a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11b0ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11b0bec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100767910>'''
+__load_module = '''<function import_module at 0x101027910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10871a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x106c1e320>'''
+___from_numpy = '''<function from_numpy at 0x11c95c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11989ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10a17ddd0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10a5857e0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11e463b50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11e894550>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1083b4160>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11af5d240>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1083b4310>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11af5d3f0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x108596a70>'''
+___key_to_id = '''<function key_to_id at 0x11b0abac0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10a499bd0>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11e806950>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1085965f0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1085a5ab0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11b0ab640>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11b0bec20>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100767910>'''
+__load_module = '''<function import_module at 0x101027910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10871a8c0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x106c1e320>'''
+___from_numpy = '''<function from_numpy at 0x11c95c3a0>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11989ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4319145120)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4323467536)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4328336064)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4376811360)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_1 Backward graph 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_1.Backward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_1 Backward graph 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_1.Backward_graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_1 Captured Graph 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_1.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_1 Captured Graph 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_1.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_1 Forward graph 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_1.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_1 Forward graph 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_1.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_1 Joint graph 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_1.Joint_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_1 Joint graph 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_1.Joint_graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_1 kernel 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_1.kernel_0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_1 kernel 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_1.kernel_0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_1 tensorify_python_scalars 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_1.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_1 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_1.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 Backward graph 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.Backward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 Backward graph 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.Backward_graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 Captured Graph 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 Captured Graph 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 Forward graph 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 Forward graph 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 Joint graph 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.Joint_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 Joint graph 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.Joint_graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 kernel 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.kernel_0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 kernel 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.kernel_0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 kernel 1.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.kernel_1.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 kernel 1.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.kernel_1.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 pre insert_deferred_runtime_asserts __compiled_fn_11 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.pre_insert_deferred_runtime_asserts___compiled_fn_11.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 pre insert_deferred_runtime_asserts __compiled_fn_11 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.pre_insert_deferred_runtime_asserts___compiled_fn_11.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 tensorify_python_scalars 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_11.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_5 Backward graph 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_5.Backward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_5 Backward graph 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_5.Backward_graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_5 Captured Graph 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_5.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_5 Captured Graph 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_5.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_5 Forward graph 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_5.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_5 Forward graph 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_5.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_5 Joint graph 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_5.Joint_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_5 Joint graph 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_5.Joint_graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_5 kernel 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_5.kernel_0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_5 kernel 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_5.kernel_0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_5 tensorify_python_scalars 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_5.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_5 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_5.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 Backward graph 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.Backward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 Backward graph 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.Backward_graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 Captured Graph 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 Captured Graph 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 Forward graph 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 Forward graph 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 Joint graph 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.Joint_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 Joint graph 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.Joint_graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 kernel 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.kernel_0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 kernel 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.kernel_0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 kernel 1.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.kernel_1.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 kernel 1.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.kernel_1.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 pre insert_deferred_runtime_asserts __compiled_fn_7 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.pre_insert_deferred_runtime_asserts___compiled_fn_7.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 pre insert_deferred_runtime_asserts __compiled_fn_7 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.pre_insert_deferred_runtime_asserts___compiled_fn_7.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 tensorify_python_scalars 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/__compiled_fn_7.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/full_code_for_forward_0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/full_code_for_forward_0.py
index b6aecbd9..bd7e9171 100644
--- a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/full_code_for_forward_0.py
+++ b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/full_code_for_forward_0.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12d8f4690>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12ed55630>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1386a0910>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1639ba0e0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11fab0040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12c75d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11fab01f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12c75d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11fb96950>'''
+___key_to_id = '''<function key_to_id at 0x12c8ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12e7d0b80>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x161f87880>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11fb964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11fba5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12c8ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x12c8c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104dc7910>'''
+__load_module = '''<function import_module at 0x102977910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11fd1a7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11d81a320>'''
+___from_numpy = '''<function from_numpy at 0x12cbf8280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x12949ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12eb3fd10>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13dd00b80>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x163950530>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1640000d0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11fab0040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12c75d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11fab01f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12c75d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11fb96950>'''
+___key_to_id = '''<function key_to_id at 0x12c8ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12e7d0b80>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x161f87880>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11fb964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11fba5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12c8ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x12c8c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104dc7910>'''
+__load_module = '''<function import_module at 0x102977910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11fd1a7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11d81a320>'''
+___from_numpy = '''<function from_numpy at 0x12cbf8280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x12949ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12d8f4690>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12ed55630>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1386a0910>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1639ba0e0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11fab0040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12c75d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11fab01f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12c75d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11fb96950>'''
+___key_to_id = '''<function key_to_id at 0x12c8ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12e7d0b80>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x161f87880>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11fb964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11fba5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12c8ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x12c8c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104dc7910>'''
+__load_module = '''<function import_module at 0x102977910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11fd1a7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11d81a320>'''
+___from_numpy = '''<function from_numpy at 0x12cbf8280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x12949ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12eb3fd10>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13dd00b80>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x163950530>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1640000d0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11fab0040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12c75d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11fab01f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12c75d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11fb96950>'''
+___key_to_id = '''<function key_to_id at 0x12c8ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12e7d0b80>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x161f87880>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11fb964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11fba5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12c8ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x12c8c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104dc7910>'''
+__load_module = '''<function import_module at 0x102977910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11fd1a7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11d81a320>'''
+___from_numpy = '''<function from_numpy at 0x12cbf8280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x12949ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12ed08a70>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x13daee200>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1386a0950>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1639b81f0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11fab0040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12c75d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11fab01f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12c75d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11fb96950>'''
+___key_to_id = '''<function key_to_id at 0x12c8ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12e7d0b80>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x161f87880>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11fb964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11fba5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12c8ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x12c8c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104dc7910>'''
+__load_module = '''<function import_module at 0x102977910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11fd1a7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11d81a320>'''
+___from_numpy = '''<function from_numpy at 0x12cbf8280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x12949ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4392938656)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4427260176)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4354878144)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4358363136)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:14 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:15 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_forward(self, a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12d37e0d0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12ecdd360>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x138194070>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x16390d990>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_forward(self, a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11fab0040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12c75d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11fab01f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12c75d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11fb96950>'''
+___key_to_id = '''<function key_to_id at 0x12c8ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12e7d0b80>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x161f87880>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11fb964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11fba5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12c8ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x12c8c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104dc7910>'''
+__load_module = '''<function import_module at 0x102977910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11fd1a7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11d81a320>'''
+___from_numpy = '''<function from_numpy at 0x12cbf8280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x12949ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4392938656)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4427260176)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4354878144)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4358363136)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/full_code_for_forward_1.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/full_code_for_forward_1.py
index 16867c2f..afcffc21 100644
--- a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/full_code_for_forward_1.py
+++ b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/full_code_for_forward_1.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x125ff8690>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x127f6d630>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11c7a0930>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11e9b60e0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1200b0040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11875d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1200b01f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11875d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x120296950>'''
+___key_to_id = '''<function key_to_id at 0x1188ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1278ecb80>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11d76f880>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1202964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1202a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1188ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1188c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104ae7910>'''
+__load_module = '''<function import_module at 0x1028df910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12041a7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11691a320>'''
+___from_numpy = '''<function from_numpy at 0x118e5c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10ee9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x127c87c90>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1303f8b80>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11e94c9f0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11ef70040>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1200b0040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11875d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1200b01f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11875d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x120296950>'''
+___key_to_id = '''<function key_to_id at 0x1188ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1278ecb80>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11d76f880>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1202964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1202a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1188ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1188c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104ae7910>'''
+__load_module = '''<function import_module at 0x1028df910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12041a7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11691a320>'''
+___from_numpy = '''<function from_numpy at 0x118e5c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10ee9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x125ff8690>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x127f6d630>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11c7a0930>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11e9b60e0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1200b0040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11875d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1200b01f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11875d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x120296950>'''
+___key_to_id = '''<function key_to_id at 0x1188ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1278ecb80>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11d76f880>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1202964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1202a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1188ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1188c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104ae7910>'''
+__load_module = '''<function import_module at 0x1028df910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12041a7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11691a320>'''
+___from_numpy = '''<function from_numpy at 0x118e5c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10ee9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x127c87c90>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1303f8b80>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11e94c9f0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11ef70040>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1200b0040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11875d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1200b01f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11875d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x120296950>'''
+___key_to_id = '''<function key_to_id at 0x1188ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1278ecb80>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11d76f880>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1202964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1202a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1188ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1188c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104ae7910>'''
+__load_module = '''<function import_module at 0x1028df910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12041a7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11691a320>'''
+___from_numpy = '''<function from_numpy at 0x118e5c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10ee9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x127f2f190>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1302eee60>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11c7a0a50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11e9b4310>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1200b0040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11875d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1200b01f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11875d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x120296950>'''
+___key_to_id = '''<function key_to_id at 0x1188ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1278ecb80>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11d76f880>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1202964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1202a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1188ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1188c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104ae7910>'''
+__load_module = '''<function import_module at 0x1028df910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12041a7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11691a320>'''
+___from_numpy = '''<function from_numpy at 0x118e5c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10ee9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4398361360)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4570914448)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4362792096)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4439825424)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:14 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:15 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_forward(self, a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x125b7a0d0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x127f39360>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11c394070>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11e911990>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_forward(self, a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1200b0040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11875d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1200b01f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11875d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x120296950>'''
+___key_to_id = '''<function key_to_id at 0x1188ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1278ecb80>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11d76f880>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1202964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1202a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1188ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1188c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104ae7910>'''
+__load_module = '''<function import_module at 0x1028df910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12041a7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11691a320>'''
+___from_numpy = '''<function from_numpy at 0x118e5c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10ee9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4398361360)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4570914448)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4362792096)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4439825424)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/full_code_for_forward_2.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/full_code_for_forward_2.py
index 5781b0d8..a00f2924 100644
--- a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/full_code_for_forward_2.py
+++ b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_with_grad/full_code_for_forward_2.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11d2f06b0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x152571630>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11cba8930>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11feb60e0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10fcb0040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x118b5d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10fcb01f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x118b5d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10fe96950>'''
+___key_to_id = '''<function key_to_id at 0x118cab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11f6e8b80>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11db73880>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10fe964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10fea5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x118cab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x118cc6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102663910>'''
+__load_module = '''<function import_module at 0x10346b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11801a7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10d31a320>'''
+___from_numpy = '''<function from_numpy at 0x118ffc280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10ea98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x15235bc50>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x15d508b80>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11fe48910>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12dbc0040>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10fcb0040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x118b5d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10fcb01f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x118b5d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10fe96950>'''
+___key_to_id = '''<function key_to_id at 0x118cab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11f6e8b80>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11db73880>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10fe964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10fea5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x118cab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x118cc6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102663910>'''
+__load_module = '''<function import_module at 0x10346b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11801a7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10d31a320>'''
+___from_numpy = '''<function from_numpy at 0x118ffc280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10ea98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11d2f06b0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x152571630>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11cba8930>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11feb60e0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10fcb0040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x118b5d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10fcb01f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x118b5d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10fe96950>'''
+___key_to_id = '''<function key_to_id at 0x118cab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11f6e8b80>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11db73880>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10fe964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10fea5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x118cab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x118cc6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102663910>'''
+__load_module = '''<function import_module at 0x10346b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11801a7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10d31a320>'''
+___from_numpy = '''<function from_numpy at 0x118ffc280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10ea98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x15235bc50>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x15d508b80>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11fe48910>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12dbc0040>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10fcb0040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x118b5d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10fcb01f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x118b5d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10fe96950>'''
+___key_to_id = '''<function key_to_id at 0x118cab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11f6e8b80>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11db73880>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10fe964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10fea5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x118cab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x118cc6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102663910>'''
+__load_module = '''<function import_module at 0x10346b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11801a7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10d31a320>'''
+___from_numpy = '''<function from_numpy at 0x118ffc280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10ea98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x152503ef0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1528eee60>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11cba8a50>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11feb4310>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10fcb0040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x118b5d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10fcb01f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x118b5d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10fe96950>'''
+___key_to_id = '''<function key_to_id at 0x118cab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11f6e8b80>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11db73880>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10fe964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10fea5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x118cab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x118cc6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102663910>'''
+__load_module = '''<function import_module at 0x10346b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11801a7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10d31a320>'''
+___from_numpy = '''<function from_numpy at 0x118ffc280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10ea98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4371787072)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4424114208)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4366363328)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4434581344)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:14 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:15 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_forward(self, a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11ce7e8d0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x152549360>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11c597990>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11fe0d990>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_forward(self, a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10fcb0040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x118b5d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10fcb01f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x118b5d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10fe96950>'''
+___key_to_id = '''<function key_to_id at 0x118cab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11f6e8b80>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11db73880>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10fe964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10fea5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x118cab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x118cc6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102663910>'''
+__load_module = '''<function import_module at 0x10346b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11801a7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10d31a320>'''
+___from_numpy = '''<function from_numpy at 0x118ffc280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10ea98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4371787072)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4424114208)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4366363328)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4434581344)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_1 Captured Graph 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_1.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_1 Captured Graph 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_1.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_1 Forward graph 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_1.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_1 Forward graph 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_1.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_1 kernel 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_1.kernel_0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_1 kernel 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_1.kernel_0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_1 tensorify_python_scalars 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_1.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_1 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_1.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_11 Captured Graph 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_11.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_11 Captured Graph 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_11.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_11 Forward graph 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_11.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_11 Forward graph 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_11.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_11 kernel 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_11.kernel_0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_11 kernel 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_11.kernel_0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_11 pre insert_deferred_runtime_asserts __compiled_fn_11 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_11.pre_insert_deferred_runtime_asserts___compiled_fn_11.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_11 pre insert_deferred_runtime_asserts __compiled_fn_11 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_11.pre_insert_deferred_runtime_asserts___compiled_fn_11.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_11 tensorify_python_scalars 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_11.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_11 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_11.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_5 Captured Graph 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_5.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_5 Captured Graph 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_5.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_5 Forward graph 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_5.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_5 Forward graph 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_5.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_5 kernel 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_5.kernel_0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_5 kernel 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_5.kernel_0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_5 tensorify_python_scalars 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_5.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_5 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_5.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_7 Captured Graph 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_7.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_7 Captured Graph 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_7.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_7 Forward graph 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_7.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_7 Forward graph 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_7.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_7 kernel 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_7.kernel_0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_7 kernel 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_7.kernel_0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_7 pre insert_deferred_runtime_asserts __compiled_fn_7 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_7.pre_insert_deferred_runtime_asserts___compiled_fn_7.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_7 pre insert_deferred_runtime_asserts __compiled_fn_7 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_7.pre_insert_deferred_runtime_asserts___compiled_fn_7.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_7 tensorify_python_scalars 0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_7.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_7 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/__compiled_fn_7.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/full_code_for_forward_0.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/full_code_for_forward_0.py
index 03e7e449..b56f3b2c 100644
--- a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/full_code_for_forward_0.py
+++ b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/full_code_for_forward_0.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1213f45b0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x121f4d240>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11cfa8910>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11db26dd0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x114eb4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11875d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x114eb41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11875d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x114f92950>'''
+___key_to_id = '''<function key_to_id at 0x1189ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12163a680>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11d5beef0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x114f924d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x114fa5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1189ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1189c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10125b910>'''
+__load_module = '''<function import_module at 0x10279f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11511e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x111a1e320>'''
+___from_numpy = '''<function from_numpy at 0x118ce0280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10dda0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x121f16890>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1223725f0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11dac7130>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11f1ad750>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x114eb4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11875d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x114eb41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11875d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x114f92950>'''
+___key_to_id = '''<function key_to_id at 0x1189ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12163a680>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11d5beef0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x114f924d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x114fa5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1189ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1189c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10125b910>'''
+__load_module = '''<function import_module at 0x10279f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11511e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x111a1e320>'''
+___from_numpy = '''<function from_numpy at 0x118ce0280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10dda0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1213f45b0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x121f4d240>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11cfa8910>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11db26dd0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x114eb4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11875d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x114eb41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11875d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x114f92950>'''
+___key_to_id = '''<function key_to_id at 0x1189ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12163a680>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11d5beef0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x114f924d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x114fa5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1189ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1189c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10125b910>'''
+__load_module = '''<function import_module at 0x10279f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11511e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x111a1e320>'''
+___from_numpy = '''<function from_numpy at 0x118ce0280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10dda0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x121f16890>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1223725f0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11dac7130>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11f1ad750>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x114eb4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11875d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x114eb41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11875d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x114f92950>'''
+___key_to_id = '''<function key_to_id at 0x1189ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12163a680>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11d5beef0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x114f924d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x114fa5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1189ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1189c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10125b910>'''
+__load_module = '''<function import_module at 0x10279f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11511e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x111a1e320>'''
+___from_numpy = '''<function from_numpy at 0x118ce0280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10dda0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x120e7c2f0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12230d5a0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11db63790>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11f1439a0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x114eb4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11875d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x114eb41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11875d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x114f92950>'''
+___key_to_id = '''<function key_to_id at 0x1189ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12163a680>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11d5beef0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x114f924d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x114fa5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1189ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1189c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10125b910>'''
+__load_module = '''<function import_module at 0x10279f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11511e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x111a1e320>'''
+___from_numpy = '''<function from_numpy at 0x118ce0280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10dda0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4330629904)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4344422032)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4353108672)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4412561408)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:14 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:15 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_forward(self, a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x120e7d670>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x121f4ce50>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11cb94610>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11db25240>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_forward(self, a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x114eb4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11875d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x114eb41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11875d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x114f92950>'''
+___key_to_id = '''<function key_to_id at 0x1189ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12163a680>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11d5beef0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x114f924d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x114fa5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1189ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1189c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10125b910>'''
+__load_module = '''<function import_module at 0x10279f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11511e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x111a1e320>'''
+___from_numpy = '''<function from_numpy at 0x118ce0280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10dda0a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4330629904)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4344422032)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4353108672)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4412561408)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/full_code_for_forward_1.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/full_code_for_forward_1.py
index 1e2e8bea..3b11680e 100644
--- a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/full_code_for_forward_1.py
+++ b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/full_code_for_forward_1.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x111fec570>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x112b5d240>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11d8ac930>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11e42edd0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10e1b0040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x118f5d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10e1b01f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x118f5d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10e292950>'''
+___key_to_id = '''<function key_to_id at 0x1191ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x112236680>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11debeef0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10e2924d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10e2a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1191ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1191c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10497b910>'''
+__load_module = '''<function import_module at 0x102887910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10e51e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10b91e320>'''
+___from_numpy = '''<function from_numpy at 0x11965c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10d69ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x112ab6970>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x113080430>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11e3ca830>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11e965750>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10e1b0040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x118f5d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10e1b01f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x118f5d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10e292950>'''
+___key_to_id = '''<function key_to_id at 0x1191ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x112236680>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11debeef0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10e2924d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10e2a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1191ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1191c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10497b910>'''
+__load_module = '''<function import_module at 0x102887910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10e51e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10b91e320>'''
+___from_numpy = '''<function from_numpy at 0x11965c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10d69ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x111fec570>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x112b5d240>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11d8ac930>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11e42edd0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10e1b0040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x118f5d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10e1b01f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x118f5d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10e292950>'''
+___key_to_id = '''<function key_to_id at 0x1191ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x112236680>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11debeef0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10e2924d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10e2a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1191ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1191c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10497b910>'''
+__load_module = '''<function import_module at 0x102887910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10e51e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10b91e320>'''
+___from_numpy = '''<function from_numpy at 0x11965c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10d69ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x112ab6970>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x113080430>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11e3ca830>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11e965750>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10e1b0040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x118f5d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10e1b01f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x118f5d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10e292950>'''
+___key_to_id = '''<function key_to_id at 0x1191ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x112236680>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11debeef0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10e2924d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10e2a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1191ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1191c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10497b910>'''
+__load_module = '''<function import_module at 0x102887910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10e51e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10b91e320>'''
+___from_numpy = '''<function from_numpy at 0x11965c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10d69ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x111a7c170>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1130169e0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11e467790>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11e9039a0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10e1b0040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x118f5d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10e1b01f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x118f5d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10e292950>'''
+___key_to_id = '''<function key_to_id at 0x1191ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x112236680>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11debeef0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10e2924d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10e2a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1191ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1191c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10497b910>'''
+__load_module = '''<function import_module at 0x102887910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10e51e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10b91e320>'''
+___from_numpy = '''<function from_numpy at 0x11965c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10d69ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4388433056)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4404191504)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4355467968)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4424095744)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:14 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:15 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_forward(self, a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x111a7d970>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x112b5ce50>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11d497990>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11e42d240>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_forward(self, a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10e1b0040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x118f5d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10e1b01f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x118f5d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10e292950>'''
+___key_to_id = '''<function key_to_id at 0x1191ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x112236680>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11debeef0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10e2924d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10e2a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1191ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1191c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10497b910>'''
+__load_module = '''<function import_module at 0x102887910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10e51e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10b91e320>'''
+___from_numpy = '''<function from_numpy at 0x11965c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10d69ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4388433056)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4404191504)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4355467968)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4424095744)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/full_code_for_forward_2.py b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/full_code_for_forward_2.py
index df3f442d..3b63da58 100644
--- a/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/full_code_for_forward_2.py
+++ b/tests/depyf_output/debug_module_inductor_with_dynamic_shape_without_grad/full_code_for_forward_2.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1101f85f0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x110e4d240>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1355a0950>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x136a32dd0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c5b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12725d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c5b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12725d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10c696950>'''
+___key_to_id = '''<function key_to_id at 0x1274ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11043e680>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1363baef0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c6964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c6a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1274ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1274c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104c57910>'''
+__load_module = '''<function import_module at 0x10250b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10c91e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ad16320>'''
+___from_numpy = '''<function from_numpy at 0x127a5c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x124198a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -95,8 +105,8 @@ def transformed___resume_at_38_3(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x110dba9d0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x111178430>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1368c2c10>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1370b1750>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -111,41 +121,51 @@ def transformed___resume_at_38_3(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c5b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12725d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c5b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12725d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10c696950>'''
+___key_to_id = '''<function key_to_id at 0x1274ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11043e680>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1363baef0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c6964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c6a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1274ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1274c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104c57910>'''
+__load_module = '''<function import_module at 0x10250b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10c91e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ad16320>'''
+___from_numpy = '''<function from_numpy at 0x127a5c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x124198a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -154,6 +174,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -190,8 +212,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1101f85f0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x110e4d240>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1355a0950>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x136a32dd0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -206,41 +228,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c5b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12725d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c5b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12725d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10c696950>'''
+___key_to_id = '''<function key_to_id at 0x1274ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11043e680>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1363baef0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c6964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c6a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1274ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1274c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104c57910>'''
+__load_module = '''<function import_module at 0x10250b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10c91e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ad16320>'''
+___from_numpy = '''<function from_numpy at 0x127a5c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x124198a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -283,8 +315,8 @@ def transformed___resume_at_38_9(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x110dba9d0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x111178430>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1368c2c10>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1370b1750>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -299,41 +331,51 @@ def transformed___resume_at_38_9(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c5b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12725d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c5b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12725d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10c696950>'''
+___key_to_id = '''<function key_to_id at 0x1274ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11043e680>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1363baef0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c6964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c6a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1274ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1274c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104c57910>'''
+__load_module = '''<function import_module at 0x10250b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10c91e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ad16320>'''
+___from_numpy = '''<function from_numpy at 0x127a5c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x124198a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -342,6 +384,8 @@ def __guard_1_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['x'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['b'], L['x'])
+    __guard_hit = __guard_hit and L['x'].size()[0] == L['b'].size()[0]  # return x * b  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:17 in torch_dynamo_resume_in_forward_at_15 (_subclasses/fake_impls.py:845 in infer_size)
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # b = b * -1  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:16 in torch_dynamo_resume_in_forward_at_15 (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_11*.py.
@@ -378,8 +422,8 @@ def transformed___resume_at_30_8(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10fc7c130>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11111aa70>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x136a6b870>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1370479a0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -394,41 +438,51 @@ def transformed___resume_at_30_8(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c5b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12725d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c5b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12725d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10c696950>'''
+___key_to_id = '''<function key_to_id at 0x1274ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11043e680>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1363baef0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c6964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c6a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1274ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1274c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104c57910>'''
+__load_module = '''<function import_module at 0x10250b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10c91e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ad16320>'''
+___from_numpy = '''<function from_numpy at 0x127a5c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x124198a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
@@ -437,8 +491,10 @@ def __guard_1_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4391431328)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4395753744)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4350241472)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4373764096)
+    __guard_hit = __guard_hit and 2 <= L['a'].size()[0]  # x = a / (torch.abs(a) + 1)  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:14 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
+    __guard_hit = __guard_hit and 2 <= L['b'].size()[0]  # if b.sum() < 0:  # data/DeepLearning/depyf/tests/test_pytorch/test_pytorch.py:15 in forward (user code shown is first use of this value--the guard itself is not due user code but due to 0/1 specialization in the framework; to avoid specialization try torch._dynamo.mark_unbacked(tensor, dim))
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_7*.py.
@@ -463,8 +519,8 @@ def __transformed_code_1_for_forward(self, a, b):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10fc7e490>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x110e4ce50>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x135094050>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x136a31240>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -479,41 +535,51 @@ def __transformed_code_1_for_forward(self, a, b):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10c5b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12725d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10c5b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12725d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x10c696950>'''
+___key_to_id = '''<function key_to_id at 0x1274ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11043e680>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1363baef0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10c6964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10c6a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1274ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1274c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104c57910>'''
+__load_module = '''<function import_module at 0x10250b910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x10c91e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10ad16320>'''
+___from_numpy = '''<function from_numpy at 0x127a5c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x124198a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -522,8 +588,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4391431328)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4395753744)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4350241472)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4373764096)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_1 Backward graph 0.py b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_1.Backward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_1 Backward graph 0.py
rename to tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_1.Backward_graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_1 Captured Graph 0.py b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_1.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_1 Captured Graph 0.py
rename to tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_1.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_1 Forward graph 0.py b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_1.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_1 Forward graph 0.py
rename to tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_1.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_1 Joint graph 0.py b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_1.Joint_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_1 Joint graph 0.py
rename to tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_1.Joint_graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_1 kernel 0.py b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_1.kernel_0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_1 kernel 0.py
rename to tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_1.kernel_0.py
diff --git a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py
rename to tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
diff --git a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_1 tensorify_python_scalars 0.py b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_1.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_1 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_1.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_5 Backward graph 0.py b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_5.Backward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_5 Backward graph 0.py
rename to tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_5.Backward_graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_5 Captured Graph 0.py b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_5.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_5 Captured Graph 0.py
rename to tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_5.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_5 Forward graph 0.py b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_5.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_5 Forward graph 0.py
rename to tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_5.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_5 Joint graph 0.py b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_5.Joint_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_5 Joint graph 0.py
rename to tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_5.Joint_graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_5 kernel 0.py b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_5.kernel_0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_5 kernel 0.py
rename to tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_5.kernel_0.py
diff --git a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py
rename to tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
diff --git a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_5 tensorify_python_scalars 0.py b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_5.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_5 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/__compiled_fn_5.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/full_code_for_forward_0.py b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/full_code_for_forward_0.py
index 512666c8..bad5144e 100644
--- a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/full_code_for_forward_0.py
+++ b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/full_code_for_forward_0.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x134ff8690>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x148f6d630>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11b9b0910>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12d2b60e0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x127fb0040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10fa5d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x127fb01f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10fa5d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x130896950>'''
+___key_to_id = '''<function key_to_id at 0x10fbab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1487ecb80>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11d36f880>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1308964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1308a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10fbab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10fbc6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102a23910>'''
+__load_module = '''<function import_module at 0x102df3910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x130a1e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x125f1e320>'''
+___from_numpy = '''<function from_numpy at 0x118058280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10cf98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x134a7a0d0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x148efd360>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11b590610>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12d215990>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x127fb0040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10fa5d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x127fb01f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10fa5d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x130896950>'''
+___key_to_id = '''<function key_to_id at 0x10fbab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1487ecb80>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11d36f880>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1308964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1308a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10fbab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10fbc6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102a23910>'''
+__load_module = '''<function import_module at 0x102df3910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x130a1e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x125f1e320>'''
+___from_numpy = '''<function from_numpy at 0x118058280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10cf98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4355566752)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4399997200)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4359580352)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4417804288)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/full_code_for_forward_1.py b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/full_code_for_forward_1.py
index 5bb30e92..c9d22ebf 100644
--- a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/full_code_for_forward_1.py
+++ b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/full_code_for_forward_1.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1286e46b0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12cd69630>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11d8b0930>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x142bb60e0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11b7b0040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x118a5d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11b7b01f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x118a5d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11b896950>'''
+___key_to_id = '''<function key_to_id at 0x118bab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12bdacb80>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11fb6f880>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11b8964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11b8a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x118bab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x118bc6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100d63910>'''
+__load_module = '''<function import_module at 0x10327f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11ba1e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11971a320>'''
+___from_numpy = '''<function from_numpy at 0x118edc280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10e09ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12827e8d0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12cd3d360>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11d4900b0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x142b0d990>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11b7b0040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x118a5d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11b7b01f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x118a5d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11b896950>'''
+___key_to_id = '''<function key_to_id at 0x118bab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12bdacb80>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11fb6f880>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11b8964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11b8a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x118bab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x118bc6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x100d63910>'''
+__load_module = '''<function import_module at 0x10327f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11ba1e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11971a320>'''
+___from_numpy = '''<function from_numpy at 0x118edc280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10e09ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4325420192)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4374831376)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4383255472)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4461845440)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/full_code_for_forward_2.py b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/full_code_for_forward_2.py
index 3daa7a59..a6d5b6a9 100644
--- a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/full_code_for_forward_2.py
+++ b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_with_grad/full_code_for_forward_2.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12c2f8690>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12f46d630>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1118a0970>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1141b60e0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1285b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10cf5d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1285b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10cf5d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x128796950>'''
+___key_to_id = '''<function key_to_id at 0x10d0ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12dcecb80>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11326f880>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1287964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1287a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10d0ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10d0c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104ae7910>'''
+__load_module = '''<function import_module at 0x105247910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12891a7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10d816320>'''
+___from_numpy = '''<function from_numpy at 0x10d75c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10b69ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12be7a0d0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12f3fd360>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1113976b0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x114105990>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x1285b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10cf5d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x1285b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10cf5d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x128796950>'''
+___key_to_id = '''<function key_to_id at 0x10d0ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12dcecb80>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11326f880>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1287964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1287a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10d0ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10d0c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104ae7910>'''
+__load_module = '''<function import_module at 0x105247910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12891a7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x10d816320>'''
+___from_numpy = '''<function from_numpy at 0x10d75c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10b69ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=True, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4389924000)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4411531536)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4397673152)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4401158144)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_1 Captured Graph 0.py b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_1.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_1 Captured Graph 0.py
rename to tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_1.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_1 Forward graph 0.py b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_1.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_1 Forward graph 0.py
rename to tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_1.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_1 kernel 0.py b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_1.kernel_0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_1 kernel 0.py
rename to tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_1.kernel_0.py
diff --git a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py
rename to tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
diff --git a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_1 tensorify_python_scalars 0.py b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_1.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_1 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_1.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_5 Captured Graph 0.py b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_5.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_5 Captured Graph 0.py
rename to tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_5.Captured_Graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_5 Forward graph 0.py b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_5.Forward_graph.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_5 Forward graph 0.py
rename to tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_5.Forward_graph.0.py
diff --git a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_5 kernel 0.py b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_5.kernel_0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_5 kernel 0.py
rename to tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_5.kernel_0.py
diff --git a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_5 pre insert_deferred_runtime_asserts __compiled_fn_5 0.py
rename to tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_5.pre_insert_deferred_runtime_asserts___compiled_fn_5.0.py
diff --git a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_5 tensorify_python_scalars 0.py b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_5.tensorify_python_scalars.0.py
similarity index 100%
rename from tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_5 tensorify_python_scalars 0.py
rename to tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/__compiled_fn_5.tensorify_python_scalars.0.py
diff --git a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/full_code_for_forward_0.py b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/full_code_for_forward_0.py
index eb029876..a05d45aa 100644
--- a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/full_code_for_forward_0.py
+++ b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/full_code_for_forward_0.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1253f4570>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x127d3d240>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1321b0950>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x133532dd0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x120fb4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x113f5d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x120fb41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x113f5d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x121096950>'''
+___key_to_id = '''<function key_to_id at 0x1148ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12563a680>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1327beef0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1210964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1210a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1148ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1148c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104c5b910>'''
+__load_module = '''<function import_module at 0x100a77910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12131a7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11761e320>'''
+___from_numpy = '''<function from_numpy at 0x114d5c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x111e9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x124f7a1d0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x127d3ce50>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x131c90050>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x133531240>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x120fb4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x113f5d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x120fb41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x113f5d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x121096950>'''
+___key_to_id = '''<function key_to_id at 0x1148ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12563a680>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1327beef0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1210964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1210a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1148ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1148c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x104c5b910>'''
+__load_module = '''<function import_module at 0x100a77910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x12131a7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11761e320>'''
+___from_numpy = '''<function from_numpy at 0x114d5c280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x111e9ca60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4391611152)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4578254320)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4322356144)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4375862608)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/full_code_for_forward_1.py b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/full_code_for_forward_1.py
index 2bde9abb..b24c4798 100644
--- a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/full_code_for_forward_1.py
+++ b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/full_code_for_forward_1.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12b5f45d0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12db65240>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11eeb0930>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x128d32dd0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11e0b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x119d5d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11e0b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x119d5d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11e292950>'''
+___key_to_id = '''<function key_to_id at 0x119eab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12d13a680>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11f7beef0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11e2924d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11e2a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x119eab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x119ec6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102c2f910>'''
+__load_module = '''<function import_module at 0x104897910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11e41e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11c71a320>'''
+___from_numpy = '''<function from_numpy at 0x11a394280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10fc98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12b17e430>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x12db64e50>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11e9900b0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x128d31240>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11e0b4040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x119d5d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11e0b41f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x119d5d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11e292950>'''
+___key_to_id = '''<function key_to_id at 0x119eab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12d13a680>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11f7beef0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11e2924d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11e2a5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x119eab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x119ec6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102c2f910>'''
+__load_module = '''<function import_module at 0x104897910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11e41e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11c71a320>'''
+___from_numpy = '''<function from_numpy at 0x11a394280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10fc98a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4369083232)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4701986448)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4389006336)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4420951056)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/full_code_for_forward_2.py b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/full_code_for_forward_2.py
index f363c215..b6f01413 100644
--- a/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/full_code_for_forward_2.py
+++ b/tests/depyf_output/debug_module_inductor_without_dynamic_shape_without_grad/full_code_for_forward_2.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1243e8570>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x125165240>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x1193a8910>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11bc36dd0>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x117cb0040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10d25d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x117cb01f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10d25d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x117d96950>'''
+___key_to_id = '''<function key_to_id at 0x10d4ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12462e680>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11adbaef0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x117d964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x117da5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10d4ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10d4c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102537910>'''
+__load_module = '''<function import_module at 0x102b7f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x117f1e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x115d12320>'''
+___from_numpy = '''<function from_numpy at 0x10d958280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10a198a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_torch_dynamo_resume_in_forward_at_15(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -108,8 +118,8 @@ def transformed___resume_at_30_2(b, x):
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x123f7a1d0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x125164e50>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x118e97490>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11bc35240>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -124,41 +134,51 @@ def transformed___resume_at_30_2(b, x):
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x117cb0040>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10d25d120>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x117cb01f0>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10d25d2d0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x117d96950>'''
+___key_to_id = '''<function key_to_id at 0x10d4ab9a0>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x12462e680>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11adbaef0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x117d964d0>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x117da5990>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10d4ab520>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10d4c6b00>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x102537910>'''
+__load_module = '''<function import_module at 0x102b7f910>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x117f1e7a0>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x115d12320>'''
+___from_numpy = '''<function from_numpy at 0x10d958280>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x10a198a60>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
@@ -167,8 +187,8 @@ def __guard_0_for_forward(L, G, **___kwargs_ignored):
     __guard_hit = __guard_hit and check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[10], stride=[1])
     __guard_hit = __guard_hit and hasattr(L['b'], '_dynamo_dynamic_indices') == False
     __guard_hit = __guard_hit and check_no_aliasing(L['a'], L['b'])
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4348963280)
-    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4563574496)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'], 4356991920)
+    __guard_hit = __guard_hit and ___check_obj_id(G['torch'].abs, 4360494256)
     return __guard_hit
 
 # Note: please refer to the graph code in __compiled_fn_1*.py.
diff --git a/tests/depyf_output/multiprocessing/__compiled_fn_1 Captured Graph 0.py b/tests/depyf_output/multiprocessing/__compiled_fn_1.Captured_Graph.0.py
similarity index 100%
rename from tests/depyf_output/multiprocessing/__compiled_fn_1 Captured Graph 0.py
rename to tests/depyf_output/multiprocessing/__compiled_fn_1.Captured_Graph.0.py
diff --git a/tests/depyf_output/multiprocessing/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py b/tests/depyf_output/multiprocessing/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
similarity index 100%
rename from tests/depyf_output/multiprocessing/__compiled_fn_1 pre insert_deferred_runtime_asserts __compiled_fn_1 0.py
rename to tests/depyf_output/multiprocessing/__compiled_fn_1.pre_insert_deferred_runtime_asserts___compiled_fn_1.0.py
diff --git a/tests/depyf_output/multiprocessing/full_code_for_f_0.py b/tests/depyf_output/multiprocessing/full_code_for_f_0.py
index a95fd45d..b78a1e4a 100644
--- a/tests/depyf_output/multiprocessing/full_code_for_f_0.py
+++ b/tests/depyf_output/multiprocessing/full_code_for_f_0.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x123026cf0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x123441bd0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x11f79b9f0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x11fba7880>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x121e12950>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11e16f130>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x121e12b00>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11e16f2e0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x121ef8310>'''
+___key_to_id = '''<function key_to_id at 0x11e39c310>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1232f5240>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x11fb769e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x121ef7e20>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x121efb2e0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11e38be20>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11e39f400>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x10465b9a0>'''
+__load_module = '''<function import_module at 0x1029d39a0>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x121ffb640>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x1201ca560>'''
+___from_numpy = '''<function from_numpy at 0x11e660310>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x11cbf4670>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_f(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[5], stride=[1])
diff --git a/tests/depyf_output/multiprocessing/full_code_for_f_1.py b/tests/depyf_output/multiprocessing/full_code_for_f_1.py
index 788edff6..1cbb4306 100644
--- a/tests/depyf_output/multiprocessing/full_code_for_f_1.py
+++ b/tests/depyf_output/multiprocessing/full_code_for_f_1.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12651ecf0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x126841bd0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x12219b9f0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x1224a7880>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x123212950>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x12036f130>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x123212b00>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x12036f2e0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x1232fc310>'''
+___key_to_id = '''<function key_to_id at 0x1205a4310>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1267f1240>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1224769e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x1232f7e20>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1232ff2e0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x12058be20>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x1205a7400>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1013579a0>'''
+__load_module = '''<function import_module at 0x1054239a0>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x1233fb640>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x121cc6560>'''
+___from_numpy = '''<function from_numpy at 0x121260310>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x116cf0670>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_f(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[5], stride=[1])
diff --git a/tests/depyf_output/multiprocessing/full_code_for_f_2.py b/tests/depyf_output/multiprocessing/full_code_for_f_2.py
index 620cd9fa..f7cffe52 100644
--- a/tests/depyf_output/multiprocessing/full_code_for_f_2.py
+++ b/tests/depyf_output/multiprocessing/full_code_for_f_2.py
@@ -2,8 +2,8 @@
 # Note: the following variables are used inside the guard function.
 ___check_tensors = '''None'''
 ___check_tensors_verbose = '''None'''
-___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x120722cf0>'''
-___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x120a41bd0>'''
+___check_global_state = '''<built-in method check of torch._C._dynamo.guards.GlobalStateGuard object at 0x10f09b9f0>'''
+___check_torch_function_mode_stack = '''<function make_torch_function_mode_stack_guard.<locals>.check_torch_function_mode_stack at 0x10f5a7880>'''
 Abs = '''<built-in function abs>'''
 Eq = '''<built-in function eq>'''
 Ne = '''<built-in function ne>'''
@@ -18,41 +18,51 @@
 FloorDiv = '''<built-in function floordiv>'''
 TrueDiv = '''<built-in function truediv>'''
 PowByNatural = '''<built-in function pow>'''
-IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x11f512950>'''
+IsNonOverlappingAndDenseIndicator = '''<function eval_is_non_overlapping_and_dense at 0x10cb6f130>'''
 floor = '''<built-in function floor>'''
 ceiling = '''<built-in function ceil>'''
 FloorToInt = '''<built-in function floor>'''
 FloatPow = '''<built-in function pow>'''
 CeilToInt = '''<built-in function ceil>'''
-cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x11f512b00>'''
+cast_symbool_to_symint_guardless = '''<function cast_symbool_to_symint_guardless at 0x10cb6f2e0>'''
 RoundToInt = '''<built-in function round>'''
 RoundDecimal = '''<built-in function round>'''
 TruncToInt = '''<built-in function trunc>'''
 IntTrueDiv = '''<built-in function truediv>'''
 FloatTrueDiv = '''<built-in function truediv>'''
 ToFloat = '''<class 'float'>'''
+OpaqueUnaryFn_cos = '''<built-in function cos>'''
+OpaqueUnaryFn_cosh = '''<built-in function cosh>'''
+OpaqueUnaryFn_acos = '''<built-in function acos>'''
+OpaqueUnaryFn_sin = '''<built-in function sin>'''
+OpaqueUnaryFn_sinh = '''<built-in function sinh>'''
+OpaqueUnaryFn_asin = '''<built-in function asin>'''
+OpaqueUnaryFn_tan = '''<built-in function tan>'''
+OpaqueUnaryFn_tanh = '''<built-in function tanh>'''
+OpaqueUnaryFn_atan = '''<built-in function atan>'''
+OpaqueUnaryFn_sqrt = '''<built-in function sqrt>'''
 ___check_type_id = '''<built-in function check_type_id>'''
 ___check_obj_id = '''<built-in function check_obj_id>'''
 ___odict_getitem = '''<method '__getitem__' of 'dict' objects>'''
-___key_to_id = '''<function key_to_id at 0x11f608310>'''
+___key_to_id = '''<function key_to_id at 0x10cda0310>'''
 ___dict_version = '''<built-in function dict_version>'''
-___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x1209f1240>'''
+___dict_contains = '''<function _get_closure_vars.<locals>.<lambda> at 0x10f5769e0>'''
 ___tuple_iterator_len = '''<method '__length_hint__' of 'tuple_iterator' objects>'''
-___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x11f5fbe20>'''
-___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x11f60b2e0>'''
+___tuple_iterator_getitem = '''<function tuple_iterator_getitem at 0x10cd8be20>'''
+___get_torch_function_mode_stack_at = '''<function get_torch_function_mode_stack_at at 0x10cda3400>'''
 __math_isnan = '''<built-in function isnan>'''
-__numpy_isnan = '''None'''
+__numpy_isnan = '''<ufunc 'isnan'>'''
 inf = '''inf'''
-__load_module = '''<function import_module at 0x1028a79a0>'''
+__load_module = '''<function import_module at 0x102dfb9a0>'''
 utils_device = '''<module 'torch.utils._device' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/utils/_device.py'>'''
 device = '''<class 'torch.device'>'''
-___from_numpy = '''<function from_numpy at 0x11f6fb640>'''
-___as_tensor = '''<function _as_tensor_fullprec at 0x11e0ca560>'''
+___from_numpy = '''<function from_numpy at 0x10da60310>'''
+___as_tensor = '''<function _as_tensor_fullprec at 0x1089f8670>'''
 torch = '''<module 'torch' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/site-packages/torch/__init__.py'>'''
 inspect = '''<module 'inspect' from '/Users/youkaichao/anaconda3/envs/py310/lib/python3.10/inspect.py'>'''
 def __guard_0_for_f(L, G, **___kwargs_ignored):
     __guard_hit = True
-    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:479 in init_ambient_guards
+    __guard_hit = __guard_hit and utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:483 in init_ambient_guards
     __guard_hit = __guard_hit and ___check_global_state()
     __guard_hit = __guard_hit and ___check_torch_function_mode_stack()
     __guard_hit = __guard_hit and check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[5], stride=[1])