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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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import unittest
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import paddle.fluid as fluid
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import paddle.fluid.core as core
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from op_test import OpTest
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import numpy as np
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class TestSequenceReverseBase(OpTest):
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def initParameters(self):
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pass
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def setUp(self):
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self.size = (10, 3, 4)
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self.lod = [2, 3, 5]
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self.dtype = 'float32'
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self.initParameters()
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self.op_type = 'sequence_reverse'
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self.x = np.random.random(self.size).astype(self.dtype)
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self.y = self.get_output()
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self.inputs = {'X': (self.x, [self.lod, ]), }
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self.outputs = {'Y': (self.y, [self.lod, ]), }
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def get_output(self):
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tmp_x = np.reshape(self.x, newshape=[self.x.shape[0], -1])
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tmp_y = np.ndarray(tmp_x.shape).astype(self.dtype)
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prev_idx = 0
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for cur_len in self.lod:
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idx_range = range(prev_idx, prev_idx + cur_len)
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tmp_y[idx_range, :] = np.flip(tmp_x[idx_range, :], 0)
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prev_idx += cur_len
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return np.reshape(tmp_y, newshape=self.x.shape).astype(self.dtype)
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def test_output(self):
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self.check_output(0)
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def test_grad(self):
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self.check_grad(['X'], 'Y')
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class TestSequenceReserve1(TestSequenceReverseBase):
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def initParameters(self):
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self.size = (12, 10)
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self.lod = [4, 5, 3]
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class TestSequenceReverse2(TestSequenceReverseBase):
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def initParameters(self):
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self.size = (12, 10)
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self.lod = [12]
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if __name__ == '__main__':
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unittest.main()
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