diff --git a/python/paddle/fluid/framework.py b/python/paddle/fluid/framework.py
index 6957dd8c5e30c428904940e5976be1143d75fbb9..757b1a2da95b99ce90faf82fa3f4f9eeef98ab39 100644
--- a/python/paddle/fluid/framework.py
+++ b/python/paddle/fluid/framework.py
@@ -6619,6 +6619,9 @@ class EagerParamBase(_core_eager_eagertensor):
 
         name = kwargs.get('name', unique_name.generate('_eager_param_base'))
 
+        if isinstance(shape, core.eager.Tensor):
+            shape = shape.numpy()
+
         super(EagerParamBase, self).__init__(
             dtype if dtype else core.VarDesc.VarType.FP32,
             list(shape)
diff --git a/python/paddle/fluid/tests/unittests/test_egr_python_api.py b/python/paddle/fluid/tests/unittests/test_egr_python_api.py
index 600a49b2332beed17954803e87cf57e6cd0bdbfc..bb8c6346eb5a54f4ab67b54f9be74df9603da108 100644
--- a/python/paddle/fluid/tests/unittests/test_egr_python_api.py
+++ b/python/paddle/fluid/tests/unittests/test_egr_python_api.py
@@ -279,6 +279,16 @@ class EagerVariablePropertiesAndMethodsTestCase(unittest.TestCase):
                 "The type of trainable MUST be bool, but the type is /*"):
             eager_param.trainable = "False"
 
+        eager_param_2 = EagerParamBase(
+            shape=paddle.shape(paddle.to_tensor([1, 2, 3, 4])), dtype="float32")
+        self.assertTrue(eager_param_2.trainable)
+        eager_param_2.trainable = False
+        self.assertFalse(eager_param_2.trainable)
+        with self.assertRaisesRegexp(
+                ValueError,
+                "The type of trainable MUST be bool, but the type is /*"):
+            eager_param_2.trainable = "False"
+
     def test_constructor(self):
         print("Test_constructor")
         paddle.set_device("cpu")