Bump version to v1.0.0rc1 (#1066)

README.md

@@ -58,6 +58,11 @@ The `1.x` branch works with **PyTorch 1.6+**.
 
 ## What's new
 
+v1.0.0rc1 was released in 30/9/2022.
+
+- Support MViT, EdgeNeXt, Swin-Transformer V2, EfficientFormer and MobileOne.
+- Support BEiT type transformer layer.
+
 v1.0.0rc0 was released in 31/8/2022.
 
 This release introduced a brand new and flexible training & test engine, but it's still in progress. Welcome

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
 
+2022/9/30 发布了 v1.0.0rc1 版本
+
+- 支持了 MViT，EdgeNeXt，Swin-Transformer V2，EfficientFormer，MobileOne 等主干网络。
+- 支持了 BEiT 风格的 transformer 层。
+
 2022/8/31 发布了 v1.0.0rc0 版本
 
 这个版本引入一个全新的，可扩展性强的训练和测试引擎，但目前仍在开发中。欢迎根据[文档](https://mmclassification.readthedocs.io/zh_CN/1.x/)进行试用。

docker/serve/Dockerfile

@@ -4,7 +4,7 @@ ARG CUDNN="7"
 FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
 
 ARG MMCV="2.0.0rc1"
-ARG MMCLS="1.0.0rc0"
+ARG MMCLS="1.0.0rc1"
 
 ENV PYTHONUNBUFFERED TRUE
 

docs/en/notes/changelog.md

@@ -1,5 +1,35 @@
 # Changelog
 
+## v1.0.0rc1(30/9/2022)
+
+### New Features
+
+- Support MViT for MMCLS 1.x ([#1023](https://github.com/open-mmlab/mmclassification/pull/1023))
+- Add ViT huge architecture. ([#1049](https://github.com/open-mmlab/mmclassification/pull/1049))
+- Support EdgeNeXt for dev-1.x. ([#1037](https://github.com/open-mmlab/mmclassification/pull/1037))
+- Support Swin Transformer V2 for MMCLS 1.x. ([#1029](https://github.com/open-mmlab/mmclassification/pull/1029))
+- Add efficientformer Backbone for MMCls 1.x. ([#1031](https://github.com/open-mmlab/mmclassification/pull/1031))
+- Add MobileOne Backbone For MMCls 1.x.  ([#1030](https://github.com/open-mmlab/mmclassification/pull/1030))
+- Support BEiT Transformer layer. ([#919](https://github.com/open-mmlab/mmclassification/pull/919))
+
+### Improvements
+
+- \[Refactor\] Fix visualization tools. ([#1045](https://github.com/open-mmlab/mmclassification/pull/1045))
+- \[Improve\] Update benchmark scripts ([#1028](https://github.com/open-mmlab/mmclassification/pull/1028))
+- \[Improve\] Update tools to enable `pin_memory` and `persistent_workers` by default. ([#1024](https://github.com/open-mmlab/mmclassification/pull/1024))
+- \[CI\] Update circle-ci and github workflow. ([#1018](https://github.com/open-mmlab/mmclassification/pull/1018))
+
+### Bug Fixes
+
+- Fix verify dataset tool in 1.x. ([#1062](https://github.com/open-mmlab/mmclassification/pull/1062))
+- Fix `loss_weight` in `LabelSmoothLoss`. ([#1058](https://github.com/open-mmlab/mmclassification/pull/1058))
+- Fix the output position of Swin-Transformer. ([#947](https://github.com/open-mmlab/mmclassification/pull/947))
+
+### Docs Update
+
+- Auto generate model summary table.  ([#1010](https://github.com/open-mmlab/mmclassification/pull/1010))
+- Refactor new modules tutorial. ([#998](https://github.com/open-mmlab/mmclassification/pull/998))
+
 ## v1.0.0rc0(31/8/2022)
 
 MMClassification 1.0.0rc0 is the first version of MMClassification 1.x, a part of the OpenMMLab 2.0 projects.

docs/en/notes/faq.md

@@ -17,8 +17,9 @@ and make sure you fill in all required information in the template.
 
   | MMClassification version |      MMCV version      |
   | :----------------------: | :--------------------: |
-  |      1.0.0rc0 (1.x)      |     mmcv>=2.0.0rc1     |
-  |     0.23.1 (master)      |  mmcv>=1.4.2, \<1.6.0  |
+  |      1.0.0rc1 (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  |
   |          0.21.0          | mmcv>=1.4.2, \<=1.5.0  |
   |          0.20.1          | mmcv>=1.4.2, \<=1.5.0  |

docs/zh_CN/notes/faq.md

@@ -15,8 +15,9 @@
 
   | MMClassification version |      MMCV version      |
   | :----------------------: | :--------------------: |
-  |      1.0.0rc0 (1.x)      |     mmcv>=2.0.0rc1     |
-  |     0.23.1 (master)      |  mmcv>=1.4.2, \<1.6.0  |
+  |      1.0.0rc1 (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  |
   |          0.21.0          | mmcv>=1.4.2, \<=1.5.0  |
   |          0.20.1          | mmcv>=1.4.2, \<=1.5.0  |

mmcls/version.py

@@ -1,6 +1,6 @@
 # Copyright (c) OpenMMLab. All rights reserved
 
-__version__ = '1.0.0rc0'
+__version__ = '1.0.0rc1'
 
 
 def parse_version_info(version_str):