# 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()