lerp_

ivy/functional/frontends/paddle/tensor/math.py

@@ -288,6 +288,12 @@ def lerp(x, y, weight, name=None):
     return ivy.lerp(x, y, weight)
 
 
+@with_supported_dtypes({"2.5.1 and below": ("float32", "float64")}, "paddle")
+@to_ivy_arrays_and_back
+def lerp_(x, y, weight, name=None):
+    return ivy.inplace_update(x, lerp(x, y, weight))
+
+
 @with_supported_dtypes({"2.5.1 and below": ("float32", "float64")}, "paddle")
 @to_ivy_arrays_and_back
 def lgamma(x, name=None):

ivy_tests/test_ivy/test_frontends/test_paddle/test_tensor/test_math.py

@@ -1222,6 +1222,42 @@ def test_paddle_lerp(
     )
 
 
+# lerp_
+@handle_frontend_test(
+    fn_tree="paddle.tensor.math.lerp_",
+    dtype_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("float"),
+        num_arrays=3,
+        allow_inf=False,
+        large_abs_safety_factor=2,
+        small_abs_safety_factor=2,
+        safety_factor_scale="log",
+        shared_dtype=True,
+    ),
+)
+def test_paddle_lerp_(
+    *,
+    dtype_and_x,
+    on_device,
+    fn_tree,
+    frontend,
+    backend_fw,
+    test_flags,
+):
+    input_dtype, x = dtype_and_x
+    helpers.test_frontend_function(
+        input_dtypes=input_dtype,
+        frontend=frontend,
+        backend_to_test=backend_fw,
+        fn_tree=fn_tree,
+        test_flags=test_flags,
+        on_device=on_device,
+        x=x[0],
+        y=x[1],
+        weight=x[2],
+    )
+
+
 # lgamma
 @handle_frontend_test(
     fn_tree="paddle.tensor.math.lgamma",