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87 lines
2.8 KiB
87 lines
2.8 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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import unittest
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import numpy as np
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from op_test import OpTest
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class TestDropoutOp(OpTest):
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def setUp(self):
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self.op_type = "dropout"
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self.inputs = {'X': np.random.random((32, 64)).astype("float32")}
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self.attrs = {'dropout_prob': 0.0, 'fix_seed': True, 'is_test': False}
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self.outputs = {
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'Out': self.inputs['X'],
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'Mask': np.ones((32, 64)).astype('float32')
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}
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def test_check_output(self):
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self.check_output()
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def test_check_grad_normal(self):
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self.check_grad(['X'], 'Out', max_relative_error=0.05)
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class TestDropoutOp2(TestDropoutOp):
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def setUp(self):
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self.op_type = "dropout"
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self.inputs = {'X': np.random.random((32, 64)).astype("float32")}
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self.attrs = {'dropout_prob': 1.0, 'fix_seed': True, 'is_test': False}
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self.outputs = {
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'Out': np.zeros((32, 64)).astype('float32'),
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'Mask': np.zeros((32, 64)).astype('float32')
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}
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class TestDropoutOp3(TestDropoutOp):
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def setUp(self):
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self.op_type = "dropout"
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self.inputs = {'X': np.random.random((32, 64, 2)).astype("float32")}
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self.attrs = {'dropout_prob': 0.0, 'fix_seed': True, 'is_test': False}
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self.outputs = {
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'Out': self.inputs['X'],
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'Mask': np.ones((32, 64, 2)).astype('float32')
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}
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class TestDropoutOp4(OpTest):
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def setUp(self):
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self.op_type = "dropout"
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self.inputs = {'X': np.random.random((32, 64)).astype("float32")}
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self.attrs = {'dropout_prob': 0.35, 'fix_seed': True, 'is_test': True}
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self.outputs = {
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'Out': self.inputs['X'] * (1.0 - self.attrs['dropout_prob'])
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}
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def test_check_output(self):
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self.check_output()
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class TestDropoutOp5(OpTest):
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def setUp(self):
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self.op_type = "dropout"
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self.inputs = {'X': np.random.random((32, 64, 3)).astype("float32")}
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self.attrs = {'dropout_prob': 0.75, 'is_test': True}
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self.outputs = {
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'Out': self.inputs['X'] * (1.0 - self.attrs['dropout_prob'])
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}
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def test_check_output(self):
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self.check_output()
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if __name__ == '__main__':
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unittest.main()
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