Bump version to v0.7.2 (#1051)

* Bump version to v0.7.2

* minor refine

* Update docs/en/notes/changelog.md

Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>

---------

Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>
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@ -80,14 +80,9 @@ Major features:
## What's New
v0.7.1 was released on 2023-04-03.
v0.7.2 was released on 2023-04-06.
Highlights:
- Support compiling the model and enabling mixed-precision training at the same time.
- Fix the bug where the logs cannot be properly saved to the log file after calling `torch.compile`
Read [Changelog](./docs/en/notes/changelog.md#v071-04032023) for more details.
Read [Changelog](./docs/en/notes/changelog.md#v071-04062023) for more details.
## Installation

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@ -80,14 +80,9 @@ MMEngine 是一个基于 PyTorch 实现的,用于训练深度学习模型的
## 最近进展
最新版本 v0.7.1 在 2023.04.03 发布。
最新版本 v0.7.2 在 2023.04.06 发布。
亮点:
- 支持在编译模型的同时开启混合精度训练
- 修复调用 `torch.compile` 后,日志无法被正确保存到日志文件的问题
如果想了解更多版本更新细节和历史信息,请阅读[更新日志](./docs/en/notes/changelog.md#v071-04032023)
如果想了解更多版本更新细节和历史信息,请阅读[更新日志](./docs/en/notes/changelog.md#v071-04062023)
## 安装

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# Changelog of v0.x
## v0.7.2 (04/06/2023)
### Bug fixes
- Align the evaluation result in log by [@kitecats](https://github.com/kitecats) in https://github.com/open-mmlab/mmengine/pull/1034
- Update the logic to calculate the `repeat_factors` in `ClassBalancedDataset` by [@BIGWangYuDong](https://github.com/BIGWangYuDong) in https://github.com/open-mmlab/mmengine/pull/1048
- Initialize sub-modules in `DistributedDataParallel` that define `init_weights` during initialization by [@HAOCHENYE](https://github.com/HAOCHENYE) in https://github.com/open-mmlab/mmengine/pull/1045
- Refactor checkpointhook unittest by [@HAOCHENYE](https://github.com/HAOCHENYE) in https://github.com/open-mmlab/mmengine/pull/789
### Contributors
A total of 3 developers contributed to this release. Thanks [@kitecats](https://github.com/kitecats), [@BIGWangYuDong](https://github.com/BIGWangYuDong), [@HAOCHENYE](https://github.com/HAOCHENYE)
## v0.7.1 (04/03/2023)
### Highlights

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# Copyright (c) OpenMMLab. All rights reserved.
__version__ = '0.7.1'
__version__ = '0.7.2'
def parse_version_info(version_str):