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

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2.2 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 op_test import OpTest
import numpy as np
import unittest
class TestUnStackOpBase(OpTest):
def initDefaultParameters(self):
self.input_dim = (5, 6, 7)
self.axis = 0
self.dtype = 'float32'
def initParameters(self):
pass
def get_y_names(self):
y_names = []
for i in range(self.input_dim[self.axis]):
y_names.append('y{}'.format(i))
return y_names
def setUp(self):
self.initDefaultParameters()
self.initParameters()
self.op_type = 'unstack'
self.x = np.random.random(size=self.input_dim).astype(self.dtype)
outs = np.split(self.x, self.input_dim[self.axis], self.axis)
new_shape = list(self.input_dim)
del new_shape[self.axis]
y_names = self.get_y_names()
tmp = []
for i in range(self.input_dim[self.axis]):
tmp.append((y_names[i], np.reshape(outs[i], new_shape)))
self.inputs = {'X': self.x}
self.outputs = {'Y': tmp}
self.attrs = {'axis': self.axis, 'num': self.input_dim[self.axis]}
def test_check_output(self):
self.check_output()
def test_check_grad(self):
self.check_grad('X', self.get_y_names())
class TestStackOp3(TestUnStackOpBase):
def initParameters(self):
self.axis = -1
class TestStackOp4(TestUnStackOpBase):
def initParameters(self):
self.axis = -3
class TestStackOp5(TestUnStackOpBase):
def initParameters(self):
self.axis = 1
class TestStackOp6(TestUnStackOpBase):
def initParameters(self):
self.axis = 2
if __name__ == '__main__':
unittest.main()