diff --git a/set_up.py b/set_up.py
index 5ec8ad4..83bf541 100644
--- a/set_up.py
+++ b/set_up.py
@@ -11,7 +11,7 @@
 
 
 def get_version():
-    version = '1.0.0'
+    version = '1.0.1'
     return version
 
 
diff --git a/tk/delta/adapter.py b/tk/delta/adapter.py
index cc27fc7..ca6c2c3 100644
--- a/tk/delta/adapter.py
+++ b/tk/delta/adapter.py
@@ -3,7 +3,6 @@
 # Copyright (c) Huawei Technologies Co., Ltd. 2022-2023, All rights reserved.
 
 from collections import OrderedDict
-from tk.utils.version_utils import is_version_ge
 
 import mindspore as ms
 import mindspore.nn as nn
@@ -13,14 +12,14 @@
 from mindspore.ops import functional as F
 from tk.delta.delta_constants import VALID_TENSOR_DATATYPE
 
-if is_version_ge(ms.__version__, '1.11.0'):
+try:
+    from mindspore.nn.transformer.layers import _Linear, _args_type_validator_check, _valid_value_checks
+    from mindspore._checkparam import Validator
+except:
     from mindformers.modules.layers import Linear, _args_type_validator_check, _valid_value_checks
     import mindspore._checkparam as Validator
     _Linear = Linear
-else:
-    from mindspore.nn.transformer.layers import _Linear, _args_type_validator_check, _valid_value_checks
-    from mindspore._checkparam import Validator
-    
+
 class AdapterLayer(nn.Cell):
     """
     定义微调算法adapter layer层，初始化adapter layer层参数，包括矩阵参数、激活层等。
diff --git a/tk/delta/lora.py b/tk/delta/lora.py
index de772f8..957ddcd 100644
--- a/tk/delta/lora.py
+++ b/tk/delta/lora.py
@@ -3,8 +3,6 @@
 # Copyright (c) Huawei Technologies Co., Ltd. 2022-2023, All rights reserved.
 
 import math
-from tk.utils.version_utils import is_version_ge
-
 import mindspore as ms
 import mindspore.nn as nn
 from mindspore import ops
@@ -15,13 +13,14 @@
 from mindspore.ops import functional as F
 from mindspore.common.initializer import initializer, HeUniform
 from tk.delta.delta_constants import VALID_TENSOR_DATATYPE
+from tk.utils.version_control import get_dropout
 
-if is_version_ge(ms.__version__, '1.11.0'):
-    import mindspore._checkparam as Validator
-    INC_LEFT = Validator.INC_LEFT
-else:
+try:
     from mindspore._checkparam import Validator, Rel
     INC_LEFT = Rel.INC_LEFT
+except:
+    import mindspore._checkparam as Validator
+    INC_LEFT = Validator.INC_LEFT
 
 class LoRADense(nn.Dense):
     """Define a dense layer with LoRA structure.
@@ -60,10 +59,7 @@ def __init__(
         # Define and initialize params
         self.lora_rank = lora_rank
         self.lora_alpha = lora_alpha
-        if is_version_ge(ms.__version__, '1.11.0'):
-            self.lora_dropout = nn.Dropout(p=lora_dropout)
-        else:
-            self.lora_dropout = nn.Dropout(keep_prob=1 - lora_dropout)
+        self.lora_dropout = get_dropout(lora_dropout)
         self.tk_delta_lora_a = Parameter(
             initializer(lora_a_init, [lora_rank, in_channels], param_init_type),
             name='tk_delta_lora_A')
diff --git a/tk/delta/low_rank_adapter.py b/tk/delta/low_rank_adapter.py
index f62d815..cf6a00f 100644
--- a/tk/delta/low_rank_adapter.py
+++ b/tk/delta/low_rank_adapter.py
@@ -3,7 +3,6 @@
 # Copyright (c) Huawei Technologies Co., Ltd. 2022-2023, All rights reserved.
 
 import numbers
-from tk.utils.version_utils import is_version_ge
 
 import mindspore as ms
 import mindspore.nn as nn
@@ -17,12 +16,12 @@
 from mindspore.ops import functional as F
 from tk.delta.delta_constants import VALID_TENSOR_DATATYPE
 
-if is_version_ge(ms.__version__, '1.11.0'):
-    from mindformers.modules.layers import _args_type_validator_check, _valid_type_checks, _valid_value_checks
-    import mindspore._checkparam as Validator
-else:
+try:
     from mindspore.nn.transformer.layers import _args_type_validator_check, _valid_type_checks, _valid_value_checks
     from mindspore._checkparam import Validator
+except:
+    from mindformers.modules.layers import _args_type_validator_check, _valid_type_checks, _valid_value_checks
+    import mindspore._checkparam as Validator
 
 
 class LowRankLinear(nn.Cell):
diff --git a/tk/delta/prefix_layer.py b/tk/delta/prefix_layer.py
index 865b1e0..6eb7ec2 100644
--- a/tk/delta/prefix_layer.py
+++ b/tk/delta/prefix_layer.py
@@ -5,14 +5,14 @@
 import mindspore as ms
 import mindspore.nn as nn
 
-from tk.utils.version_utils import is_version_ge
+from tk.utils.version_control import get_dropout
 
-if is_version_ge(ms.__version__, '1.11.0'):
-    import mindspore._checkparam as Validator
-    INC_LEFT = Validator.INC_LEFT
-else:
+try:
     from mindspore._checkparam import Validator, Rel
     INC_LEFT = Rel.INC_LEFT
+except:
+    import mindspore._checkparam as Validator
+    INC_LEFT = Validator.INC_LEFT
 
 
 def check_multiple(param_dividend, value_dividend, param_divisor, value_divisor):
@@ -55,10 +55,7 @@ def __init__(self,
         except ValueError as ex:
             raise ValueError(f"Invalid param [prefix_token_num] when initializing"
                              f"PrefixLayer, error message:{str(ex)}") from ex
-        if is_version_ge(ms.__version__, '1.11.0'):
-            self.dropout = nn.Dropout(p=dropout_rate)
-        else:
-            self.dropout = nn.Dropout(keep_prob=1 - dropout_rate)
+        self.dropout = get_dropout(dropout_rate)
         self.past_value_reparam = None
         self.past_key_reparam = None
         self.__define_network()
diff --git a/tk/utils/version_control.py b/tk/utils/version_control.py
new file mode 100644
index 0000000..5408248
--- /dev/null
+++ b/tk/utils/version_control.py
@@ -0,0 +1,10 @@
+import mindspore as ms
+from mindspore import nn
+from .version_utils import is_version_ge
+
+def get_dropout(dropout_prob):
+    if is_version_ge(ms.__version__, '1.11.0'):
+        dropout = nn.Dropout(p=dropout_prob)
+    else:
+        dropout = nn.Dropout(keep_prob=1 - dropout_prob)
+    return dropout
\ No newline at end of file