diff --git a/python/paddle/fluid/layers/control_flow.py b/python/paddle/fluid/layers/control_flow.py
index 25c552c9a889702bb48d8f10fa79d56d5a0c43d5..92d0506536357fb7868599b0b68e67dee376ae7c 100755
--- a/python/paddle/fluid/layers/control_flow.py
+++ b/python/paddle/fluid/layers/control_flow.py
@@ -27,7 +27,7 @@ import numpy
 import warnings
 import six
 from functools import reduce, partial
-from ..data_feeder import convert_dtype
+from ..data_feeder import convert_dtype, check_type_and_dtype
 
 __all__ = [
     'While', 'Switch', 'increment', 'array_write', 'create_array', 'less_than',
@@ -253,6 +253,10 @@ def Print(input,
                data: 3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3, 
                
     '''
+    check_type_and_dtype(input, 'input', Variable,
+                         ['float32', 'float64', 'int32_t', 'int64_t', 'bool'],
+                         'fluid.layers.Print')
+
     helper = LayerHelper('print' + "_" + input.name, **locals())
     output = helper.create_variable_for_type_inference(input.dtype)
     helper.append_op(
diff --git a/python/paddle/fluid/tests/unittests/test_print_op.py b/python/paddle/fluid/tests/unittests/test_print_op.py
index 0fc11ef8d9220dcc6875b6df2a3e527244872e11..49b55e376b41811be37c7f149565480a45b556da 100644
--- a/python/paddle/fluid/tests/unittests/test_print_op.py
+++ b/python/paddle/fluid/tests/unittests/test_print_op.py
@@ -24,6 +24,8 @@ from paddle.fluid.framework import switch_main_program
 from paddle.fluid.framework import Program
 import numpy as np
 from simple_nets import simple_fc_net, init_data
+from paddle.fluid import compiler, Program, program_guard
+from op_test import OpTest
 
 
 class TestPrintOpCPU(unittest.TestCase):
@@ -80,6 +82,18 @@ class TestPrintOpCPU(unittest.TestCase):
                        return_numpy=False)
 
 
+class TestPrintOpError(OpTest):
+    def test_errors(self):
+        with program_guard(Program(), Program()):
+            # The input type of Print_op must be Variable.
+            x1 = fluid.create_lod_tensor(
+                np.array([[-1]]), [[1]], fluid.CPUPlace())
+            self.assertRaises(TypeError, fluid.layers.Print, x1)
+            # The input dtype of Print_op must be float32, float64, int32_t, int64_t or bool.
+            x2 = fluid.layers.data(name='x2', shape=[4], dtype="float16")
+            self.assertRaises(TypeError, fluid.layers.Print, x2)
+
+
 @unittest.skipIf(not core.is_compiled_with_cuda(),
                  "core is not compiled with CUDA")
 class TestPrintOpGPU(TestPrintOpCPU):