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Paddle/python/paddle/fluid/tests/unittests/test_multiplex_op.py

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2.0 KiB

# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
#
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# 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.
from __future__ import print_function
import unittest
import numpy as np
from op_test import OpTest
class TestMultiplexOp(OpTest):
def setUp(self):
self.op_type = "multiplex"
rows = 4
index = np.arange(0, rows).astype('int32')
np.random.shuffle(index)
index = np.reshape(index, (rows, 1))
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 = {
'Ids': index,
'X': [('x1', ins1), ('x2', ins2), ('x3', ins3), ('x4', ins4)]
}
# multiplex output
output = np.zeros_like(ins1)
for i in range(0, rows):
k = index[i][0]
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):
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'))
if __name__ == '__main__':
unittest.main()