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59 lines
1.8 KiB
59 lines
1.8 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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import paddle.fluid.core as core
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from paddle.fluid.op import Operator
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from op_test import OpTest
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class TestExtractRows(OpTest):
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def check_with_place(self, place):
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scope = core.Scope()
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# create and initialize Variable
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feature_len = 12
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rows = [0, 4, 4, 7]
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np_array = np.ones((len(rows), feature_len)).astype("float32")
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in_x = scope.var('X').get_selected_rows()
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in_x.set_height(len(rows))
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in_x.set_rows(rows)
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in_x_tensor = in_x.get_tensor()
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in_x_tensor.set(np_array, place)
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# create Out Variable
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out_tensor = scope.var('Out').get_tensor()
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# create and run lookup_table operator
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extract_rows_op = Operator("extract_rows", X='X', Out='Out')
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extract_rows_op.run(scope, place)
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# get result from Out
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result_array = np.array(out_tensor)
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result_array = [ele[0] for ele in result_array]
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assert result_array == rows
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def test_concat_rows(self):
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places = [core.CPUPlace()]
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if core.is_compiled_with_cuda():
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places.append(core.CUDAPlace(0))
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for place in places:
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self.check_with_place(place)
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if __name__ == '__main__':
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unittest.main()
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