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52 lines
1.7 KiB
52 lines
1.7 KiB
7 years ago
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# 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 numpy as np
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from op_test import OpTest
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class TestSequenceScatterOp(OpTest):
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def setUp(self):
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self.op_type = "sequence_scatter"
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X_data = np.random.uniform(0.1, 1.0, [3, 6]).astype('float32')
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Ids_data = np.array([[0], [1], [2], [5], [4], [3], [2], [1], [3], [2],
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[5], [4]]).astype('int64')
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Ids_lod = [[3, 5, 4]]
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Updates_data = np.random.uniform(0.1, 1.0, [12, 1]).astype('float32')
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Updates_lod = Ids_lod
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Out_data = np.copy(X_data)
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Out_data[0][Ids_data[0:3]] += Updates_data[0:3]
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Out_data[1][Ids_data[3:8]] += Updates_data[3:8]
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Out_data[2][Ids_data[8:]] += Updates_data[8:]
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self.inputs = {
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'X': X_data,
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'Ids': (Ids_data, Ids_lod),
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'Updates': (Updates_data, Updates_lod)
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}
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self.outputs = {'Out': Out_data}
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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(['Updates'], 'Out', in_place=True)
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if __name__ == "__main__":
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unittest.main()
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