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46 lines
1.3 KiB
46 lines
1.3 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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import numpy as np
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from op_test import OpTest
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import paddle.fluid.core as core
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from paddle.fluid.op import Operator
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class TestSamplingIdOp(OpTest):
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def setUp(self):
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self.op_type = "sampling_id"
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self.use_mkldnn = False
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self.init_kernel_type()
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X = np.random.random((3, 4)).astype('float32')
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self.inputs = {"X": X}
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Y = np.random.random(3).astype('float32')
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self.outputs = {'Out': Y}
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self.attrs = {'use_mkldnn': self.use_mkldnn}
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def test_check_output(self):
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self.check_output()
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def test_check_grad(self):
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self.check_grad(['X'], 'Out')
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def init_kernel_type(self):
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pass
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if __name__ == "__main__":
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unittest.main()
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