Bump version to v1.0.0rc2. (#1084)

README.md

@@ -58,6 +58,11 @@ The `1.x` branch works with **PyTorch 1.6+**.
 
 ## What's new
 
+v1.0.0rc2 was released in 12/10/2022.
+
+- Support Deit-3 backbone.
+- Fix MMEngine version requirements.
+
 v1.0.0rc1 was released in 30/9/2022.
 
 - Support MViT, EdgeNeXt, Swin-Transformer V2, EfficientFormer and MobileOne.

README_zh-CN.md

@@ -57,6 +57,11 @@ MMClassification 是一款基于 PyTorch 的开源图像分类工具箱，是 [O
 
 ## 更新日志
 
+2022/10/12 发布了 v1.0.0rc2 版本
+
+- 支持了 Deit-3 主干网络
+- 修复了 MMEngine 版本依赖问题
+
 2022/9/30 发布了 v1.0.0rc1 版本
 
 - 支持了 MViT，EdgeNeXt，Swin-Transformer V2，EfficientFormer，MobileOne 等主干网络。

docker/serve/Dockerfile

@@ -3,8 +3,9 @@ ARG CUDA="10.2"
 ARG CUDNN="7"
 FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
 
+ARG MMENGINE="0.2.0"
 ARG MMCV="2.0.0rc1"
-ARG MMCLS="1.0.0rc1"
+ARG MMCLS="1.0.0rc2"
 
 ENV PYTHONUNBUFFERED TRUE
 
@@ -26,7 +27,7 @@ RUN pip install torchserve torch-model-archiver
 # MMLAB
 ARG PYTORCH
 ARG CUDA
-RUN pip install mmengine
+RUN pip install mmengine==${MMENGINE}
 RUN ["/bin/bash", "-c", "pip install mmcv==${MMCV} -f https://download.openmmlab.com/mmcv/dist/cu${CUDA//./}/torch${PYTORCH}/index.html"]
 RUN pip install mmcls==${MMCLS}
 

docs/en/notes/changelog.md

@@ -1,5 +1,24 @@
 # Changelog
 
+## v1.0.0rc2(12/10/2022)
+
+### New Features
+
+- \[Feature\] Support DeiT3. ([#1065](https://github.com/open-mmlab/mmclassification/pull/1065))
+
+### Improvements
+
+- \[Enhance\] Update `analyze_results.py` for dev-1.x. ([#1071](https://github.com/open-mmlab/mmclassification/pull/1071))
+- \[Enhance\] Get scores from inference api. ([#1070](https://github.com/open-mmlab/mmclassification/pull/1070))
+
+### Bug Fixes
+
+- \[Fix\] Update requirements. ([#1083](https://github.com/open-mmlab/mmclassification/pull/1083))
+
+### Docs Update
+
+- \[Docs\] Add 1x docs schedule. ([#1015](https://github.com/open-mmlab/mmclassification/pull/1015))
+
 ## v1.0.0rc1(30/9/2022)
 
 ### New Features

docs/en/notes/faq.md

@@ -17,7 +17,7 @@ and make sure you fill in all required information in the template.
 
   | MMClassification version |      MMCV version      |
   | :----------------------: | :--------------------: |
-  |      1.0.0rc1 (1.x)      |     mmcv>=2.0.0rc1     |
+  |      1.0.0rc2 (1.x)      |     mmcv>=2.0.0rc1     |
   |     0.24.0 (master)      |  mmcv>=1.4.2, \<1.7.0  |
   |          0.23.1          |  mmcv>=1.4.2, \<1.6.0  |
   |          0.22.1          |  mmcv>=1.4.2, \<1.6.0  |

docs/zh_CN/notes/faq.md

@@ -15,7 +15,7 @@
 
   | MMClassification version |      MMCV version      |
   | :----------------------: | :--------------------: |
-  |      1.0.0rc1 (1.x)      |     mmcv>=2.0.0rc1     |
+  |      1.0.0rc2 (1.x)      |     mmcv>=2.0.0rc1     |
   |     0.24.0 (master)      |  mmcv>=1.4.2, \<1.7.0  |
   |          0.23.1          |  mmcv>=1.4.2, \<1.6.0  |
   |          0.22.1          |  mmcv>=1.4.2, \<1.6.0  |

mmcls/version.py

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