diff --git a/python/paddle/fluid/framework.py b/python/paddle/fluid/framework.py
index a280667d03df4d705eae72ef863e6bf6cc10d76c..0e9d756848af4b157dd2e943decffd6a6fc51e2d 100644
--- a/python/paddle/fluid/framework.py
+++ b/python/paddle/fluid/framework.py
@@ -246,11 +246,11 @@ def _static_only_(func):
 def _fake_interface_only_(func):
     def __impl__(*args, **kwargs):
         raise AssertionError(
-            "'%s' should be called by imperative Varible in imperative mode, please run it in dygraph "
-            "mode. You can turn off paddle.enable_static() if you are in static mode, or turn off "
-            "ProgramTranslator if you are using @paddle.jit.to_static. If you have to run ProgramTranslator, "
-            "please use other API to replace '%s'" % (func.__name__,
-                                                      func.__name__))
+            "'%s' only can be called by `paddle.Tensor` in dynamic graph mode. Suggestions:\n"
+            "  1. If you are in static graph mode, you can switch to dynamic graph mode by turning off `paddle.enable_static()` or calling `paddle.disable_static()`.\n"
+            "  2. If you are using `@paddle.jit.to_static`, you can turn off ProgramTranslator by calling `paddle.jit.ProgramTranslator().enable(False)`. "
+            "If you have to translate dynamic graph to static graph, please use other API to replace '%s'."
+            % (func.__name__, func.__name__))
 
     return __impl__
 
@@ -1306,6 +1306,10 @@ class Variable(object):
         """
         pass
 
+    @fake_interface_only
+    def register_hook(self, hook):
+        pass
+
     def __str__(self):
         return self._to_readable_code()
 
diff --git a/python/paddle/fluid/tests/unittests/test_detach.py b/python/paddle/fluid/tests/unittests/test_detach.py
index 38cdd9b727fc5c61f933372be61cf971f289ef2e..5a31418205c329d5c790982b1dfdbe05890b8349 100644
--- a/python/paddle/fluid/tests/unittests/test_detach.py
+++ b/python/paddle/fluid/tests/unittests/test_detach.py
@@ -152,18 +152,8 @@ class Test_Detach(unittest.TestCase):
     def test_detach_exception(self):
         x = fluid.layers.data(name="a", shape=[3, 4], dtype='float32')
         y = fluid.layers.fc(input=x, size=10, bias_attr=True)
-        try:
+        with self.assertRaises(AssertionError):
             y_detach = y.detach()
-        except Exception as e:
-            # Here is to check
-            assert type(e) == AssertionError
-            assert str(e) == (
-                "'detach' should be called by imperative Varible "
-                "in imperative mode, please run it in dygraph mode. You can "
-                "turn off paddle.enable_static() if you are in static mode, "
-                "or turn off ProgramTranslator if you are using "
-                "@paddle.jit.to_static. If you have to run ProgramTranslator, "
-                "please use other API to replace 'detach'")
 
 
 class TestInplace(unittest.TestCase):
diff --git a/python/paddle/fluid/tests/unittests/test_tensor_register_hook.py b/python/paddle/fluid/tests/unittests/test_tensor_register_hook.py
index a03e4ae4bd989ab43a4a372f1e6d464a1aea7632..52256766fed7585cc5815e636ecff8403d382c5e 100644
--- a/python/paddle/fluid/tests/unittests/test_tensor_register_hook.py
+++ b/python/paddle/fluid/tests/unittests/test_tensor_register_hook.py
@@ -39,6 +39,21 @@ class SimpleNet(nn.Layer):
         return ret1, out
 
 
+class SimpleNetForStatic(nn.Layer):
+    def __init__(self, in_size, out_size):
+        super(SimpleNetForStatic, self).__init__()
+        self.linear1 = nn.Linear(in_size, in_size)
+        self.linear2 = nn.Linear(in_size, out_size)
+
+    def forward(self, x):
+        ret1 = self.linear1(x)
+        ret1.register_hook(lambda grad: grad * 2)
+
+        ret2 = self.linear2(ret1)
+        out = paddle.mean(ret2, axis=-1)
+        return out
+
+
 class TestTensorRegisterHook(unittest.TestCase):
     def setUp(self):
         self.seed = 2021
@@ -451,6 +466,34 @@ class TestTensorRegisterHook(unittest.TestCase):
             with self.assertRaises(RuntimeError):
                 x.register_hook(lambda grad: grad * 2)
 
+    def test_register_hook_in_static_mode(self):
+        paddle.enable_static()
+
+        startup_program = paddle.static.Program()
+        main_program = paddle.static.Program()
+        with paddle.static.scope_guard(paddle.static.Scope()):
+            with paddle.static.program_guard(main_program, startup_program):
+                x = paddle.static.data(
+                    name='x', shape=[None, self.in_size], dtype='float32')
+
+                net = SimpleNetForStatic(self.in_size, self.out_size)
+                with self.assertRaises(AssertionError):
+                    out = net(x)
+
+        paddle.disable_static()
+
+    def test_register_hook_in_dy2static_mode(self):
+        net = SimpleNetForStatic(self.in_size, self.out_size)
+        jit_net = paddle.jit.to_static(
+            net, input_spec=[paddle.static.InputSpec([None, self.in_size])])
+
+        data = np.random.uniform(
+            size=[self.batch_size, self.in_size]).astype('float32')
+        data_t = paddle.to_tensor(data)
+
+        with self.assertRaises(AssertionError):
+            out = jit_net(data_t)
+
 
 HOOK_INIT_VALUE = 10
 HOOK_IS_CALLED = False