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bump version to v0.13.0 (#340)
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mzr1996 committed Jul 5, 2021
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30 changes: 30 additions & 0 deletions docs/changelog.md
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## Changelog

### v0.13.0(3/7/2021)

- Support Swin-Transformer backbone and add training configs for Swin-Transformer on ImageNet.

#### New Features

- Support Swin-Transformer backbone and add training configs for Swin-Transformer on ImageNet. (#271)
- Add pretained model of RegNetX. (#269)
- Support adding custom hooks in config file. (#305)
- Improve and add Chinese translation of `CONTRIBUTING.md` and all tools tutorials. (#320)
- Dump config before training. (#282)
- Add torchscript and torchserve deployment tools. (#279, #284)

#### Improvements

- Improve test tools and add some new tools. (#322)
- Correct MobilenetV3 backbone structure and add pretained models. (#291)
- Refactor `PatchEmbed` and `HybridEmbed` as independent components. (#330)
- Refactor mixup and cutmix as `Augments` to support more funtions. (#278)
- Refactor weights initialization method. (#270, #318, #319)
- Refactor `LabelSmoothLoss` to support multiple calculation formulas. (#285)

#### Bug Fixes

- Fix bug for CPU training. (#286)
- Fix missing test data when `num_imgs` can not be evenly divided by `num_gpus`. (#299)
- Fix build compatible with pytorch v1.3-1.5. (#301)
- Fix `magnitude_std` bug in `RandAugment`. (#309)
- Fix bug when `samples_per_gpu` is 1. (#311)

### v0.12.0(3/6/2021)

- Finish adding Chinese tutorials and build Chinese documentation on readthedocs.
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27 changes: 16 additions & 11 deletions docs/install.md
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The compatible MMClassification and MMCV versions are as below. Please install the correct version of MMCV to avoid installation issues.

| MMClassification version | MMCV version |
|:-------------------:|:-------------------:|
| master | mmcv>=1.3.1, <=1.5.0 |
| 0.12.0 | mmcv>=1.3.1, <=1.5.0 |
| 0.11.1 | mmcv>=1.3.1, <=1.5.0 |
| 0.11.0 | mmcv>=1.3.0 |
| 0.10.0 | mmcv>=1.3.0 |
| 0.9.0 | mmcv>=1.1.4 |
| 0.8.0 | mmcv>=1.1.4 |
| 0.7.0 | mmcv>=1.1.4 |
| 0.6.0 | mmcv>=1.1.4 |
| MMClassification version | MMCV version |
|:------------------------:|:--------------------:|
| master | mmcv>=1.3.8, <=1.5.0 |
| 0.13.0 | mmcv>=1.3.8, <=1.5.0 |
| 0.12.0 | mmcv>=1.3.1, <=1.5.0 |
| 0.11.1 | mmcv>=1.3.1, <=1.5.0 |
| 0.11.0 | mmcv>=1.3.0 |
| 0.10.0 | mmcv>=1.3.0 |
| 0.9.0 | mmcv>=1.1.4 |
| 0.8.0 | mmcv>=1.1.4 |
| 0.7.0 | mmcv>=1.1.4 |
| 0.6.0 | mmcv>=1.1.4 |

Note: Since the `master` branch is under frequent development, the `mmcv`
version dependency may be inaccurate. If you encounter problems when using
the `master` branch, please try to update `mmcv` to the latest version.

### Install MMClassification

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22 changes: 13 additions & 9 deletions docs_zh-CN/install.md
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MMClassification 和 MMCV 的适配关系如下,请安装正确版本的 MMCV 以避免安装问题

| MMClassification 版本 | MMCV 版本 |
|:---------------------:|:-----------:|
| master | mmcv>=1.3.1, <=1.5.0 |
| MMClassification 版本 | MMCV 版本 |
|:---------------------:|:--------------------:|
| master | mmcv>=1.3.6, <=1.5.0 |
| 0.13.0 | mmcv>=1.3.6, <=1.5.0 |
| 0.12.0 | mmcv>=1.3.1, <=1.5.0 |
| 0.11.1 | mmcv>=1.3.1, <=1.5.0 |
| 0.11.0 | mmcv>=1.3.0 |
| 0.10.0 | mmcv>=1.3.0 |
| 0.9.0 | mmcv>=1.1.4 |
| 0.8.0 | mmcv>=1.1.4 |
| 0.7.0 | mmcv>=1.1.4 |
| 0.6.0 | mmcv>=1.1.4 |
| 0.11.0 | mmcv>=1.3.0 |
| 0.10.0 | mmcv>=1.3.0 |
| 0.9.0 | mmcv>=1.1.4 |
| 0.8.0 | mmcv>=1.1.4 |
| 0.7.0 | mmcv>=1.1.4 |
| 0.6.0 | mmcv>=1.1.4 |

提示:由于 `master` 分支处于频繁开发中,`mmcv` 版本依赖可能不准确。如果您在使用
`master` 分支时遇到问题,请尝试更新 `mmcv` 到最新版。

### 安装 MMClassification 步骤

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2 changes: 1 addition & 1 deletion mmcls/version.py
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# Copyright (c) Open-MMLab. All rights reserved.

__version__ = '0.12.0'
__version__ = '0.13.0'


def parse_version_info(version_str):
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