API (create_parameter, create_global_var) error message enhancement (#23623) (#23947)

* error message enhancement create_parameter create_global_var, test=develop

* use six.PY2 to use long, test=develop

* fix input dtype for create_parameter, test=develop

python/paddle/fluid/layers/tensor.py

@@ -13,9 +13,11 @@
 # limitations under the License.
 
 from __future__ import print_function
+import six
 from six.moves import reduce
 from ..layer_helper import LayerHelper
 from ..param_attr import ParamAttr
+from ..initializer import Initializer
 from ..framework import convert_np_dtype_to_dtype_, in_dygraph_mode, _varbase_creator
 from ..framework import Variable
 from ..initializer import Constant
@@ -101,10 +103,30 @@ def create_parameter(shape,
             import paddle.fluid.layers as layers
             W = layers.create_parameter(shape=[784, 200], dtype='float32')
     """
+    check_type(shape, 'shape', (list, tuple, numpy.ndarray), 'create_parameter')
+    for item in shape:
+        if six.PY2:
+            check_type(item, 'item of shape',
+                       (int, long, numpy.uint8, numpy.int8, numpy.int16,
+                        numpy.int32, numpy.int64), 'create_parameter')
+        else:
+            check_type(item, 'item of shape',
+                       (int, numpy.uint8, numpy.int8, numpy.int16, numpy.int32,
+                        numpy.int64), 'create_parameter')
+
+    check_dtype(dtype, 'dtype', [
+        'bool', 'float16', 'float32', 'float64', 'int8', 'int16', 'int32',
+        'int64', 'uint8'
+    ], 'create_parameter')
+    check_type(attr, 'attr', (type(None), ParamAttr), 'create_parameter')
+    check_type(default_initializer, 'default_initializer',
+               (type(None), Initializer), 'create_parameter')
+
     helper = LayerHelper("create_parameter", **locals())
     if attr is None:
         attr = ParamAttr(name=name)
-    return helper.create_parameter(attr, shape, dtype, is_bias,
+    return helper.create_parameter(attr, shape,
+                                   convert_dtype(dtype), is_bias,
                                    default_initializer)
 
 
@@ -140,6 +162,23 @@ def create_global_var(shape,
             var = layers.create_global_var(shape=[2,3], value=1.0, dtype='float32',
                                            persistable=True, force_cpu=True, name='new_var')
     """
+    check_type(shape, 'shape', (list, tuple, numpy.ndarray),
+               'create_global_var')
+    for item in shape:
+        if six.PY2:
+            check_type(item, 'item of shape',
+                       (int, long, numpy.uint8, numpy.int8, numpy.int16,
+                        numpy.int32, numpy.int64), 'create_global_var')
+        else:
+            check_type(item, 'item of shape',
+                       (int, numpy.uint8, numpy.int8, numpy.int16, numpy.int32,
+                        numpy.int64), 'create_global_var')
+
+    check_dtype(dtype, 'dtype', [
+        'bool', 'float16', 'float32', 'float64', 'int8', 'int16', 'int32',
+        'int64', 'uint8'
+    ], 'create_global_var')
+
     helper = LayerHelper("global_var", **locals())
     var = helper.create_global_variable(
         dtype=dtype,

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

+# Copyright (c) 2020 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.
+
+import os, shutil
+import unittest
+import numpy as np
+import paddle.fluid as fluid
+from paddle.fluid import Program, program_guard
+
+
+class TestCreateGlobalVarError(unittest.TestCase):
+    def test_errors(self):
+        with program_guard(Program(), Program()):
+
+            def test_shape():
+                fluid.layers.create_global_var(1, 2.0, np.float32)
+
+            self.assertRaises(TypeError, test_shape)
+
+            def test_shape_item():
+                fluid.layers.create_global_var([1.0, 2.0, 3.0], 2.0, 'float32')
+
+            self.assertRaises(TypeError, test_shape_item)
+
+            # Since create_global_var support all dtype in convert_dtype(). 
+            # Hence, assertRaises ValueError not TypeError. 
+            def test_dtype():
+                fluid.layers.create_global_var([1, 2, 3], 2.0, np.complex128)
+
+            self.assertRaises(ValueError, test_dtype)
+
+
+if __name__ == '__main__':
+    unittest.main()

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

+# Copyright (c) 2020 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.
+
+import os, shutil
+import unittest
+import numpy as np
+import paddle.fluid as fluid
+from paddle.fluid import Program, program_guard
+from paddle.fluid import ParamAttr, initializer
+
+
+class TestCreateParameterError(unittest.TestCase):
+    def test_errors(self):
+        with program_guard(Program(), Program()):
+
+            def test_shape():
+                fluid.layers.create_parameter(1, np.float32)
+
+            self.assertRaises(TypeError, test_shape)
+
+            def test_shape_item():
+                fluid.layers.create_parameter([1.0, 2.0, 3.0], "float32")
+
+            self.assertRaises(TypeError, test_shape_item)
+
+            def test_attr():
+                fluid.layers.create_parameter(
+                    [1, 2, 3], np.float32, attr=np.array([i for i in range(6)]))
+
+            self.assertRaises(TypeError, test_attr)
+
+            def test_default_initializer():
+                fluid.layers.create_parameter(
+                    [1, 2, 3],
+                    np.float32,
+                    default_initializer=np.array([i for i in range(6)]))
+
+            self.assertRaises(TypeError, test_default_initializer)
+
+
+if __name__ == '__main__':
+    unittest.main()