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79 lines
2.1 KiB
79 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 TestSequenceConcat(OpTest):
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def setLoD(self):
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self.lod1 = [7, 3]
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self.lod2 = [12, 8]
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self.out_lod = [19, 11]
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def setUp(self):
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x1 = np.random.random(size=(10, 80))
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x2 = np.random.random(size=(20, 80))
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self.setLoD()
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out = np.concatenate((x1[0:self.lod1[0]], x2[0:self.lod2[0]],
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x1[self.lod1[0]:], x2[self.lod2[0]:]))
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self.op_type = "sequence_concat"
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self.inputs = {
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'X': [("x1", (x1, [self.lod1])), ("x2", (x2, [self.lod2]))]
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}
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self.outputs = {"Out": (out, [self.out_lod])}
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def test_output(self):
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self.check_output(1e-3)
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def test_dx(self):
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self.check_grad(inputs_to_check=['x1', 'x2'], output_names="Out")
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class TestSequenceConcatCase2(TestSequenceConcat):
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def setLoD(self):
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self.lod1 = [10, 0]
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self.lod2 = [12, 8]
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self.out_lod = [22, 8]
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class TestSequenceConcatCase3(TestSequenceConcat):
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def setLoD(self):
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self.lod1 = [10, 0]
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self.lod2 = [20, 0]
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self.out_lod = [30, 0]
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class TestSequenceConcatCase4(TestSequenceConcat):
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def setLoD(self):
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self.lod1 = [0, 10]
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self.lod2 = [0, 20]
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self.out_lod = [0, 30]
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class TestSequenceConcatCase5(TestSequenceConcat):
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def setLoD(self):
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self.lod1 = [0, 10]
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self.lod2 = [20, 0]
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self.out_lod = [20, 10]
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if __name__ == '__main__':
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unittest.main()
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