test_multiplex_op.py 2.0 KB
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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");
# you may not use this file except in compliance with the License.
# 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
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

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import unittest
import numpy as np
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from .op_test import OpTest
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class TestMultiplexOp(OpTest):
    def setUp(self):
        self.op_type = "multiplex"
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        rows = 4
        index = np.arange(0, rows).astype('int32')
        np.random.shuffle(index)
        index = np.reshape(index, (rows, 1))
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        ins1 = np.random.random((rows, 10)).astype("float32")
        ins2 = np.random.random((rows, 10)).astype("float32")
        ins3 = np.random.random((rows, 10)).astype("float32")
        ins4 = np.random.random((rows, 10)).astype("float32")
        self.inputs = {
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            'Ids': index,
            'X': [('x1', ins1), ('x2', ins2), ('x3', ins3), ('x4', ins4)]
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        }
        # multiplex output
        output = np.zeros_like(ins1)
        for i in range(0, rows):
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            k = index[i][0]
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            output[i] = self.inputs['X'][k][1][i]
        self.outputs = {'Out': output}

    def test_check_output(self):
        self.check_output()

    def test_check_grad(self):
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        self.check_grad(['x1', 'x2', 'x3', 'x4'], 'Out')

    def test_check_grad_ignore_x1(self):
        self.check_grad(['x2', 'x3', 'x4'], 'Out', no_grad_set=set('x1'))

    def test_check_grad_ignore_x1_x2(self):
        self.check_grad(['x3', 'x4'], 'Out', no_grad_set=set(['x1', 'x2']))

    def test_check_grad_ignore_x3(self):
        self.check_grad(['x1', 'x2', 'x4'], 'Out', no_grad_set=set('x3'))
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if __name__ == '__main__':
    unittest.main()