[Release] Bump Version to 0.23.0 (#1556)

* master

* master 0721

* add README

* 1231 bump_version

* 0207 slowfast steplr

* 0207

* version 0.23.0

* version 0.23.0

README.md

@@ -79,7 +79,7 @@ The master branch works with **PyTorch 1.3+**.
 - (2021-10-25) We provide a [guide](https://github.com/open-mmlab/mmaction2/blob/master/configs/skeleton/posec3d/custom_dataset_training.md) on how to train PoseC3D with custom datasets, [bit-scientist](https://github.com/bit-scientist) authored this PR!
 - (2021-10-16) We support **PoseC3D** on UCF101 and HMDB51, achieves 87.0% and 69.3% Top-1 accuracy with 2D skeletons only. Pre-extracted 2D skeletons are also available.
 
-**Release**: v0.22.0 was released in 05/03/2022. Please refer to [changelog.md](docs/changelog.md) for details and release history.
+**Release**: v0.23.0 was released in 01/04/2022. Please refer to [changelog.md](docs/changelog.md) for details and release history.
 
 ## Installation
 

README_zh-CN.md

@@ -78,7 +78,7 @@ MMAction2 是一款基于 PyTorch 的视频理解开源工具箱，是 [OpenMMLa
 - (2021-10-25) 提供使用自定义数据集训练 PoseC3D 的 [教程](https://github.com/open-mmlab/mmaction2/blob/master/configs/skeleton/posec3d/custom_dataset_training.md)，此 PR 由用户 [bit-scientist](https://github.com/bit-scientist) 完成！
 - (2021-10-16) 在 UCF101, HMDB51 上支持 **PoseC3D**，仅用 2D 关键点就可分别达到 87.0% 和 69.3% 的识别准确率。两数据集的预提取骨架特征可以公开下载。
 
-v0.22.0 版本已于 2022 年 3 月 5 日发布，可通过查阅 [更新日志](/docs/changelog.md) 了解更多细节以及发布历史
+v0.23.0 版本已于 2022 年 4 月 1 日发布，可通过查阅 [更新日志](/docs/changelog.md) 了解更多细节以及发布历史
 
 ## 安装
 

docker/serve/Dockerfile

@@ -4,7 +4,7 @@ ARG CUDNN="7"
 FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
 
 ARG MMCV="1.3.8"
-ARG MMACTION="0.22.0"
+ARG MMACTION="0.23.0"
 
 ENV PYTHONUNBUFFERED TRUE
 

mmaction/version.py

@@ -1,6 +1,6 @@
 # Copyright (c) Open-MMLab. All rights reserved.
 
-__version__ = '0.22.0'
+__version__ = '0.23.0'
 
 
 def parse_version_info(version_str):