diff --git a/python/paddle/base/dygraph/tensor_patch_methods.py b/python/paddle/base/dygraph/tensor_patch_methods.py
index 83bb82ee70d171..b726a029141d74 100644
--- a/python/paddle/base/dygraph/tensor_patch_methods.py
+++ b/python/paddle/base/dygraph/tensor_patch_methods.py
@@ -677,10 +677,6 @@ def __deepcopy__(self, memo):
                 Tensor(shape=[], dtype=float32, place=Place(cpu), stop_gradient=True,
                 2.)
         """
-        if not self.is_leaf:
-            raise RuntimeError(
-                "Only Leaf Tensor support the deepcopy at the moment, non-Leaf Tensors contains graph information that does't support deepcopy"
-            )
         new_tensor = core.eager.Tensor()
         new_tensor.name = self.name + unique_name.generate("_deepcopy")
         memo[id(self)] = new_tensor
diff --git a/test/legacy_test/test_var_base.py b/test/legacy_test/test_var_base.py
index 052f9bb1bc6030..026675e45b5189 100644
--- a/test/legacy_test/test_var_base.py
+++ b/test/legacy_test/test_var_base.py
@@ -512,9 +512,6 @@ def test_deep_copy(self):
             with self.assertRaises(ValueError):
                 x_copy[:] = 5.0
 
-            with self.assertRaises(RuntimeError):
-                copy.deepcopy(z)
-
             x_copy2 = copy.deepcopy(x, memo)
             y_copy2 = copy.deepcopy(y, memo)
             self.assertEqual(id(x_copy), id(x_copy2))