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| """ | |
| -*- coding: utf-8 -*- | |
| File : unittest.py | |
| Author : Jiayuan Mao | |
| Email : maojiayuan@gmail.com | |
| Date : 27/01/2018 | |
| This file is part of Synchronized-BatchNorm-PyTorch. | |
| https://github.com/vacancy/Synchronized-BatchNorm-PyTorch | |
| Distributed under MIT License. | |
| MIT License | |
| Copyright (c) 2018 Jiayuan MAO | |
| Permission is hereby granted, free of charge, to any person obtaining a copy | |
| of this software and associated documentation files (the "Software"), to deal | |
| in the Software without restriction, including without limitation the rights | |
| to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | |
| copies of the Software, and to permit persons to whom the Software is | |
| furnished to do so, subject to the following conditions: | |
| The above copyright notice and this permission notice shall be included in all | |
| copies or substantial portions of the Software. | |
| THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | |
| IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | |
| FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | |
| AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | |
| LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | |
| OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE | |
| SOFTWARE. | |
| """ | |
| import unittest | |
| import torch | |
| class TorchTestCase(unittest.TestCase): | |
| def assertTensorClose(self, x, y): | |
| adiff = float((x - y).abs().max()) | |
| if (y == 0).all(): | |
| rdiff = 'NaN' | |
| else: | |
| rdiff = float((adiff / y).abs().max()) | |
| message = ('Tensor close check failed\n' 'adiff={}\n' 'rdiff={}\n').format(adiff, rdiff) | |
| self.assertTrue(torch.allclose(x, y), message) | |