46 lines
1.5 KiB
46 lines
1.5 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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class TestElementwisePowOp(OpTest):
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def setUp(self):
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self.op_type = "elementwise_pow"
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self.inputs = {
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'X': np.random.uniform(0.1, 1, [13, 17]).astype("float32"),
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'Y': np.random.uniform(0.1, 1, [13, 17]).astype("float32")
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}
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self.outputs = {'Out': np.power(self.inputs['X'], self.inputs['Y'])}
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def test_check_output(self):
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self.check_output()
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class TestElementwisePowOp_scalar(TestElementwisePowOp):
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def setUp(self):
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self.op_type = "elementwise_pow"
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self.inputs = {
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'X': np.random.rand(2, 3, 4).astype('float32'),
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'Y': np.random.rand(1).astype('float32')
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}
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self.outputs = {'Out': np.power(self.inputs['X'], self.inputs['Y'])}
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if __name__ == '__main__':
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unittest.main()
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