Fix the error message of zeros op (#20476)

* fix the error message of zeros op
test=develop

* Fix unittest of zeros op
test=develop

python/paddle/fluid/layers/tensor.py

@@ -919,6 +919,13 @@ def zeros(shape, dtype, force_cpu=False):
           import paddle.fluid as fluid
           data = fluid.layers.zeros(shape=[3, 2], dtype='float32') # [[0., 0.], [0., 0.], [0., 0.]]
     """
+    if convert_dtype(dtype) not in [
+            'bool', 'float16', 'float32', 'float64', 'int32', 'int64'
+    ]:
+        raise TypeError(
+            "The create data type in zeros must be one of bool, float16, float32,"
+            " float64, int32 or int64, but received %s." % convert_dtype(
+                (dtype)))
     return fill_constant(value=0.0, **locals())
 
 

python/paddle/fluid/tests/unittests/test_zeros_op.py

@@ -0,0 +1,38 @@
+#   Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from __future__ import print_function
+
+import unittest
+import numpy as np
+from op_test import OpTest
+
+import paddle.fluid.core as core
+from paddle.fluid.op import Operator
+import paddle.fluid as fluid
+from paddle.fluid import compiler, Program, program_guard
+
+
+class TestZerosOpError(OpTest):
+    def test_errors(self):
+        with program_guard(Program(), Program()):
+            # The input dtype of zeros_op must be bool, float16, float32, float64, int32, int64.
+            x1 = fluid.layers.data(name='x1', shape=[4], dtype="int8")
+            self.assertRaises(TypeError, fluid.layers.zeros, x1)
+            x2 = fluid.layers.data(name='x2', shape=[4], dtype="uint8")
+            self.assertRaises(TypeError, fluid.layers.zeros, x2)
+
+
+if __name__ == "__main__":
+    unittest.main()