# 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 TestPadOp(OpTest): def setUp(self): self.initTestCase() self.op_type = "pad" self.inputs = {'X': np.random.random(self.shape).astype("float32"), } self.attrs = {} self.attrs['paddings'] = np.array(self.paddings).flatten() self.attrs['pad_value'] = self.pad_value self.outputs = { 'Out': np.pad(self.inputs['X'], self.paddings, mode='constant', constant_values=self.pad_value) } def test_check_output(self): self.check_output() def test_check_grad_normal(self): self.check_grad(['X'], 'Out', max_relative_error=0.006) def initTestCase(self): self.shape = (16, 16) self.paddings = [(0, 1), (2, 3)] self.pad_value = 0.0 class TestCase1(TestPadOp): def initTestCase(self): self.shape = (2, 3, 4, 4) self.paddings = [(0, 1), (2, 3), (2, 1), (1, 1)] self.pad_value = 0.5 class TestCase2(TestPadOp): def initTestCase(self): self.shape = (2, 2, 2) self.paddings = [(0, 0), (0, 0), (1, 2)] self.pad_value = 1.0 class TestCase3(TestPadOp): def initTestCase(self): self.shape = (8) self.paddings = [(0, 1)] self.pad_value = 0.9 if __name__ == '__main__': unittest.main()