diff --git a/python/paddle/fluid/dygraph/nn.py b/python/paddle/fluid/dygraph/nn.py
index baa49e5f3e44d0e3397b6418f4cd85b8a61bb53b..d4277daebdc9e9c5dbf2f1c8a3fdbe26653a3659 100644
--- a/python/paddle/fluid/dygraph/nn.py
+++ b/python/paddle/fluid/dygraph/nn.py
@@ -1576,6 +1576,7 @@ class Embedding(layers.Layer):
                 'is_distributed', self._is_distributed, 'remote_prefetch',
                 self._remote_prefetch, 'padding_idx', self._padding_idx)
 
+        check_variable_and_dtype(input, 'input', ['int64'], 'Embedding')
         attrs = {
             'is_sparse': self._is_sparse,
             'is_distributed': self._is_distributed,
diff --git a/python/paddle/fluid/tests/unittests/test_lookup_table_v2_op.py b/python/paddle/fluid/tests/unittests/test_lookup_table_v2_op.py
index 9c026f0482b832977cffe5f1933c2304eba315d8..98d8b7f9f88d2f8892bb2ac8190fbb3c9f19e047 100644
--- a/python/paddle/fluid/tests/unittests/test_lookup_table_v2_op.py
+++ b/python/paddle/fluid/tests/unittests/test_lookup_table_v2_op.py
@@ -25,6 +25,21 @@ import paddle.fluid as fluid
 from paddle.fluid import Program, program_guard
 
 
+class TestDygraphEmbeddingAPIError(unittest.TestCase):
+    def test_errors(self):
+        with fluid.program_guard(fluid.Program(), fluid.Program()):
+            dict_size = 20
+            layer = fluid.dygraph.nn.Embedding(
+                size=[dict_size, 32], param_attr='emb.w', is_sparse=False)
+            # the input must be Variable.
+            x0 = fluid.create_lod_tensor(
+                np.array([-1, 3, 5, 5]), [[1, 1, 1, 1]], fluid.CPUPlace())
+            self.assertRaises(TypeError, layer, x0)
+            # the input dtype must be int64
+            data_t = fluid.data(name='word', shape=[1], dtype='int32')
+            self.assertRaises(TypeError, layer, data_t)
+
+
 class TestLookupTableOp(OpTest):
     def setUp(self):
         self.op_type = "lookup_table_v2"