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

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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.
from __future__ import print_function
import unittest
import numpy as np
from op_test import OpTest
class TestClipOp(OpTest):
def setUp(self):
self.max_relative_error = 0.006
self.initTestCase()
input = np.random.random(self.shape).astype("float32")
input[np.abs(input - self.min) < self.max_relative_error] = 0.5
input[np.abs(input - self.max) < self.max_relative_error] = 0.5
self.op_type = "clip"
self.inputs = {'X': input, }
self.attrs = {}
self.attrs['min'] = self.min
self.attrs['max'] = self.max
self.outputs = {
'Out': np.clip(self.inputs['X'], self.attrs['min'],
self.attrs['max'])
}
def test_check_output(self):
self.check_output()
def test_check_grad_normal(self):
self.check_grad(
['X'], 'Out', max_relative_error=self.max_relative_error)
def initTestCase(self):
self.shape = (4, 4)
self.max = 0.7
self.min = 0.1
class TestCase1(TestClipOp):
def initTestCase(self):
self.shape = (8, 16, 8)
self.max = 0.7
self.min = 0.0
class TestCase2(TestClipOp):
def initTestCase(self):
self.shape = (8, 16)
self.max = 1.0
self.min = 0.0
class TestCase3(TestClipOp):
def initTestCase(self):
self.shape = (4, 8, 16)
self.max = 0.7
self.min = 0.2
if __name__ == '__main__':
unittest.main()