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70 lines
2.1 KiB
70 lines
2.1 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 TestPadOp(OpTest):
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def setUp(self):
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self.initTestCase()
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self.op_type = "pad_constant_like"
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self.inputs = {
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'X': np.random.random(self.x_shape).astype("float32"),
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'Y': np.random.random(self.y_shape).astype("float32")
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}
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self.attrs = {}
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self.attrs['pad_value'] = self.pad_value
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self.outputs = {
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'Out': np.pad(self.inputs['Y'],
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self.paddings,
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mode='constant',
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constant_values=self.pad_value)
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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(['Y'], 'Out', max_relative_error=0.006)
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def initTestCase(self):
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self.x_shape = (16, 16)
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self.y_shape = (3, 16)
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self.pad_value = 0.1
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self.paddings = [(0, 13), (0, 0)]
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class TestCase1(TestPadOp):
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def initTestCase(self):
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self.x_shape = (4, 3, 4, 4)
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self.y_shape = (2, 3, 4, 4)
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self.paddings = [(0, 2), (0, 0), (0, 0), (0, 0)]
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self.pad_value = 0.5
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class TestCase2(TestPadOp):
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def initTestCase(self):
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self.x_shape = (4, 3, 4, 4)
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self.y_shape = (2, 3, 2, 4)
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self.paddings = [(0, 2), (0, 0), (0, 2), (0, 0)]
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self.pad_value = 0.5
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if __name__ == '__main__':
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unittest.main()
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