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116 lines
4.1 KiB
116 lines
4.1 KiB
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import print_function
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import unittest
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import paddle
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import paddle.fluid as fluid
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import paddle.fluid.layers as layers
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from paddle.fluid import Program, program_guard
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import paddle.fluid.core as core
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class TestApiDataError(unittest.TestCase):
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def test_fluid_data(self):
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with program_guard(Program(), Program()):
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# 1. The type of 'name' in fluid.data must be str.
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def test_name_type():
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fluid.data(name=1, shape=[2, 25], dtype="bool")
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self.assertRaises(TypeError, test_name_type)
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# 2. The type of 'shape' in fluid.data must be list or tuple.
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def test_shape_type():
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fluid.data(name='data1', shape=2, dtype="bool")
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self.assertRaises(TypeError, test_shape_type)
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def test_layers_data(self):
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with program_guard(Program(), Program()):
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# 1. The type of 'name' in layers.data must be str.
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def test_name_type():
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layers.data(name=1, shape=[2, 25], dtype="bool")
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self.assertRaises(TypeError, test_name_type)
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# 2. The type of 'shape' in layers.data must be list or tuple.
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def test_shape_type():
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layers.data(name='data1', shape=2, dtype="bool")
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self.assertRaises(TypeError, test_shape_type)
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class TestApiStaticDataError(unittest.TestCase):
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def test_fluid_dtype(self):
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with program_guard(Program(), Program()):
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x1 = paddle.static.data(name="x1", shape=[2, 25])
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self.assertEqual(x1.dtype, core.VarDesc.VarType.FP32)
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x2 = paddle.static.data(name="x2", shape=[2, 25], dtype="bool")
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self.assertEqual(x2.dtype, core.VarDesc.VarType.BOOL)
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paddle.set_default_dtype("float64")
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x3 = paddle.static.data(name="x3", shape=[2, 25])
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self.assertEqual(x3.dtype, core.VarDesc.VarType.FP64)
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def test_fluid_data(self):
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with program_guard(Program(), Program()):
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# 1. The type of 'name' in fluid.data must be str.
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def test_name_type():
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paddle.static.data(name=1, shape=[2, 25], dtype="bool")
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self.assertRaises(TypeError, test_name_type)
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# 2. The type of 'shape' in fluid.data must be list or tuple.
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def test_shape_type():
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paddle.static.data(name='data1', shape=2, dtype="bool")
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self.assertRaises(TypeError, test_shape_type)
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def test_layers_data(self):
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with program_guard(Program(), Program()):
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# 1. The type of 'name' in layers.data must be str.
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def test_name_type():
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paddle.static.data(name=1, shape=[2, 25], dtype="bool")
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self.assertRaises(TypeError, test_name_type)
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# 2. The type of 'shape' in layers.data must be list or tuple.
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def test_shape_type():
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paddle.static.data(name='data1', shape=2, dtype="bool")
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self.assertRaises(TypeError, test_shape_type)
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class TestApiErrorWithDynamicMode(unittest.TestCase):
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def test_error(self):
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with program_guard(Program(), Program()):
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paddle.disable_static()
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self.assertRaises(AssertionError, fluid.data, 'a', [2, 25])
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self.assertRaises(
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AssertionError, fluid.layers.data, 'b', shape=[2, 25])
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self.assertRaises(
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AssertionError, paddle.static.data, 'c', shape=[2, 25])
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paddle.enable_static()
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if __name__ == "__main__":
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unittest.main()
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