From f3ef8253e4c2682740d9ea0ba1ff1cf910d2a913 Mon Sep 17 00:00:00 2001
From: Bhushan Srivastava <59949692+he11owthere@users.noreply.github.com>
Date: Mon, 11 Sep 2023 23:39:03 +0530
Subject: [PATCH] feat(frontend): Added lerp method to the Paddle frontend
 (#22571)

Co-authored-by: hmahmood24 <hmahmood.bee16@gmail.com>
---
 .../frontends/paddle/tensor/tensor.py         |  4 ++
 .../test_paddle/test_tensor/test_tensor.py    | 58 +++++++++++++++++++
 2 files changed, 62 insertions(+)

diff --git a/ivy/functional/frontends/paddle/tensor/tensor.py b/ivy/functional/frontends/paddle/tensor/tensor.py
index 7a4f5dc308c88..ad68778a1c0fe 100644
--- a/ivy/functional/frontends/paddle/tensor/tensor.py
+++ b/ivy/functional/frontends/paddle/tensor/tensor.py
@@ -141,6 +141,10 @@ def sin(self, name=None):
     def sinh(self, name=None):
         return paddle_frontend.Tensor(ivy.sinh(self._ivy_array))
 
+    @with_supported_dtypes({"2.5.1 and below": ("float32", "float64")}, "paddle")
+    def lerp(self, y, weight, name=None):
+        return paddle_frontend.lerp(self, y, weight)
+
     @with_supported_dtypes({"2.5.1 and below": ("float32", "float64")}, "paddle")
     def lerp_(self, y, weight, name=None):
         self.ivy_array = paddle_frontend.lerp(self, y, weight).ivy_array
diff --git a/ivy_tests/test_ivy/test_frontends/test_paddle/test_tensor/test_tensor.py b/ivy_tests/test_ivy/test_frontends/test_paddle/test_tensor/test_tensor.py
index 4c9762080387f..7ceeba34f4bff 100644
--- a/ivy_tests/test_ivy/test_frontends/test_paddle/test_tensor/test_tensor.py
+++ b/ivy_tests/test_ivy/test_frontends/test_paddle/test_tensor/test_tensor.py
@@ -127,6 +127,30 @@ def _get_dtype_and_square_matrix(draw):
     return dtype, mat
 
 
+@st.composite
+def _get_dtype_and_values_for_lerp(draw):
+    is_tensor = draw(st.booleans())
+    if is_tensor:
+        input_dtype, x = draw(
+            helpers.dtype_and_values(
+                num_arrays=3,
+                available_dtypes=helpers.get_dtypes("valid"),
+                shared_dtype=True,
+            )
+        )
+        return input_dtype, x[0], x[1], x[2]
+    else:
+        input_dtype, x = draw(
+            helpers.dtype_and_values(
+                num_arrays=2,
+                available_dtypes=helpers.get_dtypes("valid"),
+                shared_dtype=True,
+            )
+        )
+        weight = draw(st.floats())
+        return input_dtype, x[0], x[1], weight
+
+
 @st.composite
 def _reshape_helper(draw):
     # generate a shape s.t len(shape) > 0
@@ -2154,6 +2178,40 @@ def test_paddle_tensor_isnan(
     )
 
 
+# lerp
+@handle_frontend_method(
+    class_tree=CLASS_TREE,
+    init_tree="paddle.to_tensor",
+    method_name="lerp",
+    dtypes_and_x=_get_dtype_and_values_for_lerp(),
+)
+def test_paddle_tensor_lerp(
+    dtypes_and_x,
+    frontend_method_data,
+    init_flags,
+    method_flags,
+    frontend,
+    on_device,
+    backend_fw,
+):
+    input_dtype, x, y, weight = dtypes_and_x
+    helpers.test_frontend_method(
+        init_input_dtypes=input_dtype,
+        backend_to_test=backend_fw,
+        init_all_as_kwargs_np={"data": x},
+        method_input_dtypes=input_dtype,
+        method_all_as_kwargs_np={
+            "y": y,
+            "weight": weight,
+        },
+        frontend_method_data=frontend_method_data,
+        init_flags=init_flags,
+        method_flags=method_flags,
+        frontend=frontend,
+        on_device=on_device,
+    )
+
+
 # lerp_
 @handle_frontend_method(
     class_tree=CLASS_TREE,