From be48e8b2f43b90d2f683497b27219f46e589f3f8 Mon Sep 17 00:00:00 2001 From: fanqiNO1 <75657629+fanqiNO1@users.noreply.github.com> Date: Tue, 21 Nov 2023 09:33:51 +0800 Subject: [PATCH] bump version to v0.10.0 (#1430) --- README.md | 6 ++++-- README_zh-CN.md | 6 ++++-- docs/en/notes/changelog.md | 17 +++++++++++++++++ mmengine/version.py | 2 +- 4 files changed, 26 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index f1e4ccf054..c1c3e9a223 100644 --- a/README.md +++ b/README.md @@ -58,17 +58,19 @@ English | [简体中文](README_zh-CN.md) ## What's New -v0.9.1 was released on 2023-11-03. +v0.10.0 was released on 2023-11-21. Highlights: +- 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. + - 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. - 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. - 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. -Read [Changelog](./docs/en/notes/changelog.md#v091-03112023) for more details. +Read [Changelog](./docs/en/notes/changelog.md#v0100-21112023) for more details. ## Table of Contents diff --git a/README_zh-CN.md b/README_zh-CN.md index 137da49119..dc4e1d8510 100644 --- a/README_zh-CN.md +++ b/README_zh-CN.md @@ -58,17 +58,19 @@ ## 最近进展 -最新版本 v0.9.1 在 2023.11.03 发布。 +最新版本 v0.10.0 在 2023.11.21 发布。 亮点: +- 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。 + - 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。 - 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)。 - 支持多种可视化后端,包括`NeptuneVisBackend`、`DVCLiveVisBackend` 和 `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。 -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) +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) ## 目录 diff --git a/docs/en/notes/changelog.md b/docs/en/notes/changelog.md index 6389c08660..f56d7b3ad3 100644 --- a/docs/en/notes/changelog.md +++ b/docs/en/notes/changelog.md @@ -1,5 +1,22 @@ # Changelog of v0.x +## v0.10.0 (21/11/2023) + +### New Features & Enhancements + +- Support for installing mmengine without opencv by [@fanqiNO1](https://github.com/fanqiNO1) in https://github.com/open-mmlab/mmengine/pull/1429 + +### Bug Fixes + +- Fix bugs in colo optimwrapper by [@HIT-cwh](https://github.com/HIT-cwh) in https://github.com/open-mmlab/mmengine/pull/1426 +- Support `exclude_frozen_parameters` for `DeepSpeedStrategy`'s `resume` by [@LZHgrla](https://github.com/LZHgrla) in https://github.com/open-mmlab/mmengine/pull/1424 +- Fix `scale_lr` in `SingleDeviceStrategy` by [@fanqiNO1](https://github.com/fanqiNO1) in https://github.com/open-mmlab/mmengine/pull/1428 +- Fix CI for torch2.1.0 by [@fanqiNO1](https://github.com/fanqiNO1) in https://github.com/open-mmlab/mmengine/pull/1418 + +### Contributors + +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) + ## v0.9.1 (03/11/2023) ### New Features & Enhancements diff --git a/mmengine/version.py b/mmengine/version.py index 61e72184d9..6db86dabb0 100644 --- a/mmengine/version.py +++ b/mmengine/version.py @@ -1,6 +1,6 @@ # Copyright (c) OpenMMLab. All rights reserved. -__version__ = '0.9.1' +__version__ = '0.10.0' def parse_version_info(version_str):