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93 lines
2.7 KiB
93 lines
2.7 KiB
# Copyright (c) 2019 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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from __future__ import print_function
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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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import paddle.fluid.core as core
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from paddle.fluid.op import Operator
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class TestWhereOp(OpTest):
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def setUp(self):
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self.op_type = "where"
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self.init_config()
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def test_check_output(self):
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self.check_output()
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def init_config(self):
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self.inputs = {'Condition': np.array([True, False, True]), }
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self.outputs = {'Out': np.array([[0], [2]], dtype='int64')}
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class TestAllFalse(unittest.TestCase):
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def setUp(self):
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self.op_type = "where"
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self.init_config()
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def check_with_place(self, place):
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scope = core.Scope()
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condition = scope.var('Condition').get_tensor()
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condition.set(self.cond_data, place)
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out = scope.var("Out").get_tensor()
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out.set(np.full(self.shape, 0).astype('int64'), place)
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op = Operator("where", Condition="Condition", Out="Out")
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op.run(scope, place)
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out_array = np.array(out)
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self.assertTrue((out_array == self.out_data).all())
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def init_config(self):
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self.cond_data = np.array([False, False, False])
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self.shape = (3, 1)
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self.out_data = np.array([], dtype='int64')
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def test_all_false(self):
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self.check_with_place(core.CPUPlace())
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if core.is_compiled_with_cuda():
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self.check_with_place(core.CUDAPlace(0))
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class TestRank2(TestWhereOp):
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def init_config(self):
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self.inputs = {'Condition': np.array([[True, False], [False, True]]), }
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self.outputs = {'Out': np.array([[0, 0], [1, 1]], dtype='int64')}
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class TestRank3(TestWhereOp):
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def init_config(self):
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self.inputs = {
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'Condition': np.array([[[True, False], [False, True]],
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[[False, True], [True, False]],
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[[False, False], [False, True]]]),
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}
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self.outputs = {
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'Out': np.array(
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[[0, 0, 0], [0, 1, 1], [1, 0, 1], [1, 1, 0], [2, 1, 1]],
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dtype='int64')
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}
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if __name__ == "__main__":
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unittest.main()
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