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90 lines
2.5 KiB
90 lines
2.5 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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import unittest
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import six
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import numpy as np
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from op_test import OpTest
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class TestSequenceUnpadOp(OpTest):
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def init(self):
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self.length = [2, 3, 4]
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self.x_shape = (3, 5)
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self.dtype = "float32"
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def compute(self):
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assert len(self.length) == self.x_shape[0]
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x = np.random.random(self.x_shape).astype(self.dtype)
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out_lod = [self.length]
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out = x[0, 0:self.length[0]]
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for i in six.moves.xrange(1, x.shape[0]):
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out = np.append(out, x[i, 0:self.length[i]], axis=0)
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out_shape = (sum(self.length), )
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if len(self.x_shape) == 2:
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out_shape = out_shape + (1, )
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else:
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out_shape = out_shape + self.x_shape[2:]
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self.inputs = {
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'X': x,
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'Length': np.array(self.length).astype('int64').reshape(-1, 1)
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}
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self.outputs = {'Out': (out.reshape(out_shape), out_lod)}
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def setUp(self):
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self.op_type = 'sequence_unpad'
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self.init()
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self.compute()
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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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class TestSequenceUnpadOp2(TestSequenceUnpadOp):
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def init(self):
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self.length = [2, 3, 4]
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self.x_shape = (3, 5, 4, 3)
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self.dtype = "float32"
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class TestSequenceUnpadOp3(TestSequenceUnpadOp):
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def init(self):
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self.length = [5, 2, 3, 4]
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self.x_shape = (4, 5, 3, 3, 6)
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self.dtype = "float64"
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class TestSequenceUnpadOp4(TestSequenceUnpadOp):
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def init(self):
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self.length = [5, 0, 0, 4]
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self.x_shape = (4, 5, 3, 3, 6)
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self.dtype = "float64"
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class TestSequenceUnpadOp4(TestSequenceUnpadOp):
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def init(self):
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self.length = [0, 4, 3, 0]
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self.x_shape = (4, 5, 3, 3, 6)
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self.dtype = "float64"
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if __name__ == '__main__':
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unittest.main()
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