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bump version to v0.10.0 (#1430)
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README.md

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## What's New
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v0.9.1 was released on 2023-11-03.
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v0.10.0 was released on 2023-11-21.
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Highlights:
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- Support installing mmengine-lite with no dependency on opencv. Refer to the [Installation](https://mmengine.readthedocs.io/en/latest/get_started/installation.html#install-mmengine) for more details.
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- Support training with [ColossalAI](https://colossalai.org/). Refer to the [Training Large Models](https://mmengine.readthedocs.io/en/latest/common_usage/large_model_training.html#colossalai) for more detailed usages.
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- Support gradient checkpointing. Refer to the [Save Memory on GPU](https://mmengine.readthedocs.io/en/latest/common_usage/save_gpu_memory.html#gradient-checkpointing) for more details.
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- Supports multiple visualization backends, including `NeptuneVisBackend`, `DVCLiveVisBackend` and `AimVisBackend`. Refer to [Visualization Backends](https://mmengine.readthedocs.io/en/latest/common_usage/visualize_training_log.html) for more details.
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Read [Changelog](./docs/en/notes/changelog.md#v091-03112023) for more details.
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Read [Changelog](./docs/en/notes/changelog.md#v0100-21112023) for more details.
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## Table of Contents
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README_zh-CN.md

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## 最近进展
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最新版本 v0.9.1 在 2023.11.03 发布。
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最新版本 v0.10.0 在 2023.11.21 发布。
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亮点:
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- 支持安装不依赖于 opencv 的 mmengine-lite 版本。可阅读[安装文档](https://mmengine.readthedocs.io/zh-cn/latest/get_started/installation.html#mmengine)了解用法。
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- 支持使用 [ColossalAI](https://colossalai.org/) 进行训练。可阅读[大模型训练](https://mmengine.readthedocs.io/zh_CN/latest/common_usage/large_model_training.html#colossalai)了解用法。
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- 支持梯度检查点。详见[用法](https://mmengine.readthedocs.io/zh_CN/latest/common_usage/save_gpu_memory.html#id3)
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- 支持多种可视化后端,包括`NeptuneVisBackend``DVCLiveVisBackend``AimVisBackend`。可阅读[可视化后端](https://mmengine.readthedocs.io/zh_CN/latest/common_usage/visualize_training_log.html)了解用法。
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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#v091-03112023)
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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#v0100-21112023)
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## 目录
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docs/en/notes/changelog.md

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# Changelog of v0.x
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## v0.10.0 (21/11/2023)
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### New Features & Enhancements
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- Support for installing mmengine without opencv by [@fanqiNO1](https://github.com/fanqiNO1) in https://github.com/open-mmlab/mmengine/pull/1429
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### Bug Fixes
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- Fix bugs in colo optimwrapper by [@HIT-cwh](https://github.com/HIT-cwh) in https://github.com/open-mmlab/mmengine/pull/1426
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- Support `exclude_frozen_parameters` for `DeepSpeedStrategy`'s `resume` by [@LZHgrla](https://github.com/LZHgrla) in https://github.com/open-mmlab/mmengine/pull/1424
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- Fix `scale_lr` in `SingleDeviceStrategy` by [@fanqiNO1](https://github.com/fanqiNO1) in https://github.com/open-mmlab/mmengine/pull/1428
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- Fix CI for torch2.1.0 by [@fanqiNO1](https://github.com/fanqiNO1) in https://github.com/open-mmlab/mmengine/pull/1418
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### Contributors
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A total of 3 developers contributed to this release. Thanks [@HIT-cwh](https://github.com/HIT-cwh), [@LZHgrla](https://github.com/LZHgrla), [@fanqiNO1](https://github.com/fanqiNO1)
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## v0.9.1 (03/11/2023)
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### New Features & Enhancements

mmengine/version.py

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# Copyright (c) OpenMMLab. All rights reserved.
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__version__ = '0.9.1'
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__version__ = '0.10.0'
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def parse_version_info(version_str):

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