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50 lines
1.5 KiB
50 lines
1.5 KiB
7 years ago
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# 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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from test_lrn_op import TestLRNOp
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class TestLRNMKLDNNOp(TestLRNOp):
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def get_attrs(self):
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attrs = TestLRNOp.get_attrs(self)
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attrs['use_mkldnn'] = True
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return attrs
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def test_check_output(self):
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self.check_output(atol=0.002)
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class TestLRNMKLDNNOpWithIsTest(TestLRNMKLDNNOp):
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def get_attrs(self):
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attrs = TestLRNMKLDNNOp.get_attrs(self)
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attrs['is_test'] = True
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return attrs
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def test_check_grad_normal(self):
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def check_raise_is_test():
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try:
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self.check_grad(['X'], 'Out', max_relative_error=0.01)
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except Exception as e:
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t = \
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"is_test attribute should be set to False in training phase."
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if t in str(e):
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raise AttributeError
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self.assertRaises(AttributeError, check_raise_is_test)
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if __name__ == "__main__":
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unittest.main()
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