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# 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.
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()
