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79 lines
2.6 KiB
79 lines
2.6 KiB
# Copyright (c) 2018 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 numpy as np
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from op_test import OpTest
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import paddle.fluid as fluid
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class TestEmpty(OpTest):
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def setUp(self):
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self.op_type = "is_empty"
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self.inputs = {'X': np.array([1, 2, 3])}
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self.outputs = {'Out': np.array([False])}
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def test_check_output(self):
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self.check_output()
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class TestNotEmpty(TestEmpty):
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def setUp(self):
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self.op_type = "is_empty"
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self.inputs = {'X': np.array([])}
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self.outputs = {'Out': np.array([True])}
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class TestIsEmptyOpError(unittest.TestCase):
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def test_errors(self):
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with fluid.program_guard(fluid.Program(), fluid.Program()):
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input_data = np.random.random((3, 2)).astype("float64")
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def test_Variable():
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# the input type must be Variable
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fluid.layers.is_empty(x=input_data)
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self.assertRaises(TypeError, test_Variable)
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def test_cond_Variable():
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# cond type must be Variable or None
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x2 = fluid.layers.data(name="x2", shape=[3, 2], dtype="float32")
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cond_data = np.random.random((3, 2)).astype("float32")
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fluid.layers.is_empty(x=x2, cond=cond_data)
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self.assertRaises(TypeError, test_cond_Variable)
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def test_type():
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# dtype must be float32, float64, int32, int64
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x3 = fluid.layers.data(
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name="x3", shape=[4, 32, 32], dtype="bool")
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res = fluid.layers.is_empty(x=x3)
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self.assertRaises(TypeError, test_type)
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def test_cond_type():
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# cond dtype must be bool.
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x4 = fluid.layers.data(name="x4", shape=[3, 2], dtype="float32")
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cond = fluid.layers.data(
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name="cond", shape=[1], dtype="float32")
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fluid.layers.is_empty(x=x4, cond=cond)
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self.assertRaises(TypeError, test_cond_type)
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if __name__ == "__main__":
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unittest.main()
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