39 lines
1.3 KiB
39 lines
1.3 KiB
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
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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 TestScatterOp(OpTest):
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def setUp(self):
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self.op_type = "scatter"
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ref_np = np.ones((3, 3)).astype("float32")
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index_np = np.array([1, 2]).astype("int32")
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updates_np = np.random.random((2, 3)).astype("float32")
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output_np = np.copy(ref_np)
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output_np[index_np] = updates_np
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self.inputs = {'Ref': ref_np, 'Index': index_np, 'Updates': updates_np}
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self.outputs = {'Out': output_np}
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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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