Bump version to v1.0.0rc2 (#507)

* update version information

* fix lint

* update description of readme

* update date

* refine description in changelog
pull/567/head v1.0.0rc2
Yixiao Fang 2022-10-12 19:24:51 +08:00
parent 337e49e304
commit 0c873137d0
5 changed files with 52 additions and 3 deletions

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@ -65,6 +65,11 @@ The master branch works with **PyTorch 1.6** or higher.
## What's New
MMSelfSup **v1.0.0rc2** was released in 12/10/2022.
- Full support of `MAE`, `SimMIM`, `MoCoV3` with different model sizes and different pre-training epochs.
- Update documents and colab tutorial.
MMSelfSup **v1.0.0rc1** was released in 01/09/2022.
- Based on MMEngine and MMCV.

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@ -65,7 +65,12 @@ MMSelfSup 是一个基于 PyTorch 实现的开源自监督表征学习工具箱
## 更新
最新的 **v1.0.0rc1** 版本已经在 2022.09.01 发布。
**v1.0.0rc2** 版本已经在 2022.10.12 发布。
- `MAE`, `SimMIM`, `MoCoV3` 算法模型的全量支持(支持多种模型尺寸和预训练轮次)。
- 更新文档以及教程
**v1.0.0rc1** 版本已经在 2022.09.01 发布。
新版本亮点:

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@ -2,6 +2,44 @@
## MMSelfSup
### v1.0.0rc2 (12/10/2022)
The `master` branch is still 0.x version and we will checkout a new `1.x` branch to release 1.x version. The two versions will be maintained simultaneously in the future.
We briefly list the major breaking changes here. Please refer to the [migration guide](../migration.md) for details and migration instructions.
#### Highlight
- Full support of `MAE`, `SimMIM`, `MoCoV3`.
#### New Features
- Full support of `MAE` ([#483](https://github.com/open-mmlab/mmselfsup/pull/483))
- Full support of `SimMIM` ([#487](https://github.com/open-mmlab/mmselfsup/pull/487))
- Full support of `MoCoV3` ([#496](https://github.com/open-mmlab/mmselfsup/pull/496))
#### Bug Fixes
- Fix classification configs ([#488](https://github.com/open-mmlab/mmselfsup/pull/488))
- Fix MAE config name error ([#498](https://github.com/open-mmlab/mmselfsup/pull/498))
#### Improvements
- Refactor colab tutorial ([#470](https://github.com/open-mmlab/mmselfsup/pull/470)))
- Update readthedocs requirements ([#472](https://github.com/open-mmlab/mmselfsup/pull/472))
- Update CI ([#476](https://github.com/open-mmlab/mmselfsup/pull/476))
- Refine `mim_slurm_test.sh` and `mim_dist_test.sh` for benchmarks ([#477](https://github.com/open-mmlab/mmselfsup/pull/477))
- Update Metafile format and content ([#478](https://github.com/open-mmlab/mmselfsup/pull/478))
#### Docs
- Add advanced_guides/engine.md ([#454](https://github.com/open-mmlab/mmselfsup/pull/454))
- Add advanced_guides/evaluation.md ([#456](https://github.com/open-mmlab/mmselfsup/pull/456))
- add advanced_guides/transforms.md ([#463](https://github.com/open-mmlab/mmselfsup/pull/463))
- Add dataset docs ([#437](https://github.com/open-mmlab/mmselfsup/pull/437))
- Refine contribution guide ([#492](https://github.com/open-mmlab/mmselfsup/pull/492))
- update convention ([#475](https://github.com/open-mmlab/mmselfsup/pull/475))
### v1.0.0rc1 (01/09/2022)
We are excited to announce the release of MMSelfSup v1.0.0rc1.

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@ -12,7 +12,8 @@ Compatible MMEngine, MMCV, MMClassification, MMDetection and MMSegmentation vers
| MMSelfSup version | MMEngine version | MMCV version | MMClassification version | MMSegmentation version | MMDetection version |
| :---------------: | :---------------: | :-----------------: | :-------------------------: | :--------------------: | :-----------------: |
| 1.0.0rc0 (1.x) | mmengine >= 0.5.0 | mmcv >= 2.0.0rc1 | mmcls >= 1.0.0rc0 | mmseg >= 1.0.0rc0 | mmdet >= 3.0.0rc0 |
| 1.0.0rc2 (1.x) | mmengine >= 0.1.0 | mmcv >= 2.0.0rc1 | mmcls >= 1.0.0rc0 | mmseg >= 1.0.0rc0 | mmdet >= 3.0.0rc0 |
| 1.0.0rc1 | mmengine >= 0.1.0 | mmcv >= 2.0.0rc1 | mmcls >= 1.0.0rc0 | mmseg >= 1.0.0rc0 | mmdet >= 3.0.0rc0 |
| 0.9.1 | / | mmcv-full >= 1.4.2 | mmcls >= 0.21.0 | mmseg >= 0.20.2 | mmdet >= 2.19.0 |
| 0.9.0 | / | mmcv-full >= 1.4.2 | mmcls >= 0.21.0 | mmseg >= 0.20.2 | mmdet >= 2.19.0 |
| 0.8.0 | / | mmcv-full >= 1.4.2 | mmcls >= 0.21.0 | mmseg >= 0.20.2 | mmdet >= 2.19.0 |

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@ -1,6 +1,6 @@
# Copyright (c) Open-MMLab. All rights reserved.
__version__ = '1.0.0rc1'
__version__ = '1.0.0rc2'
def parse_version_info(version_str):