Bump version to v0.24.1 (#1150)

README.md

@@ -33,6 +33,8 @@
 [🆕 Update News](https://mmclassification.readthedocs.io/en/latest/changelog.html) |
 [🤔 Reporting Issues](https://github.com/open-mmlab/mmclassification/issues/new/choose)
 
+:point_right: **MMClassification 1.0 branch is in trial, welcome every to [try it](https://github.com/open-mmlab/mmclassification/tree/1.x) and [discuss with us](https://github.com/open-mmlab/mmclassification/discussions)!** :point_left:
+
 </div>
 
 ## Introduction
@@ -62,6 +64,11 @@ The MMClassification 1.0 has released! It's still unstable and in release candid
 to [the 1.x branch](https://github.com/open-mmlab/mmclassification/tree/1.x) and discuss it with us in
 [the discussion](https://github.com/open-mmlab/mmclassification/discussions).
 
+v0.24.1 was released in 31/10/2022.
+Highlights of the new version:
+
+- Support HUAWEI Ascend device.
+
 v0.24.0 was released in 30/9/2022.
 Highlights of the new version:
 

README_zh-CN.md

@@ -33,6 +33,10 @@
 [🆕 更新日志](https://mmclassification.readthedocs.io/en/latest/changelog.html) |
 [🤔 报告问题](https://github.com/open-mmlab/mmclassification/issues/new/choose)
 
+:point_right: **MMClassification 1.0 版本即将正式发布，欢迎大家 [试用](https://github.com/open-mmlab/mmclassification/tree/1.x) 并 [参与讨论](https://github.com/open-mmlab/mmclassification/discussions)！** :point_left:
+
+</div>
+
 </div>
 
 ## Introduction
@@ -59,6 +63,10 @@ MMClassification 是一款基于 PyTorch 的开源图像分类工具箱，是 [O
 
 MMClassification 1.0 已经发布！目前仍在公测中，如果希望试用，请切换到 [1.x 分支](https://github.com/open-mmlab/mmclassification/tree/1.x)，并在[讨论版](https://github.com/open-mmlab/mmclassification/discussions) 参加开发讨论！
 
+2022/10/31 发布了 v0.24.1 版本
+
+- 支持了华为昇腾 NPU 设备。
+
 2022/9/30 发布了 v0.24.0 版本
 
 - 支持了 **HorNet**，**EfficientFormerm**，**SwinTransformer V2**，**MViT** 等主干网络。
@@ -66,8 +74,6 @@ MMClassification 1.0 已经发布！目前仍在公测中，如果希望试用
 
 2022/5/1 发布了 v0.23.0 版本
 
-新版本亮点：
-
 - 支持了 **DenseNet**，**VAN** 和 **PoolFormer** 三个网络，并提供了预训练模型。
 - 支持在 IPU 上进行训练。
 - 更新了 API 文档的样式，更方便查阅，[欢迎查阅](https://mmclassification.readthedocs.io/en/master/api/models.html)。

docker/serve/Dockerfile

@@ -3,8 +3,8 @@ ARG CUDA="10.2"
 ARG CUDNN="7"
 FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
 
-ARG MMCV="1.6.2"
-ARG MMCLS="0.24.0"
+ARG MMCV="1.7.0"
+ARG MMCLS="0.24.1"
 
 ENV PYTHONUNBUFFERED TRUE
 

docs/en/changelog.md

@@ -1,5 +1,15 @@
 # Changelog
 
+## v0.24.1(31/10/2022)
+
+### New Features
+
+- Support mmcls with NPU backend. ([#1072](https://github.com/open-mmlab/mmclassification/pull/1072))
+
+### Bug Fixes
+
+- Fix performance issue in convnext DDP train. ([#1098](https://github.com/open-mmlab/mmclassification/pull/1098))
+
 ## v0.24.0(30/9/2022)
 
 ### Highlights

docs/en/faq.md

@@ -17,8 +17,8 @@ and make sure you fill in all required information in the template.
 
   | MMClassification version |      MMCV version      |
   | :----------------------: | :--------------------: |
-  |           dev            |  mmcv>=1.6.0, \<1.7.0  |
-  |     0.24.0 (master)      |  mmcv>=1.4.2, \<1.7.0  |
+  |           dev            |  mmcv>=1.7.0, \<1.9.0  |
+  |     0.24.1 (master)      |  mmcv>=1.4.2, \<1.9.0  |
   |          0.23.2          |  mmcv>=1.4.2, \<1.7.0  |
   |          0.22.1          |  mmcv>=1.4.2, \<1.6.0  |
   |          0.21.0          | mmcv>=1.4.2, \<=1.5.0  |

docs/zh_CN/faq.md

@@ -15,8 +15,8 @@
 
   | MMClassification version |      MMCV version      |
   | :----------------------: | :--------------------: |
-  |           dev            |  mmcv>=1.6.0, \<1.7.0  |
-  |     0.24.0 (master)      |  mmcv>=1.4.2, \<1.7.0  |
+  |           dev            |  mmcv>=1.7.0, \<1.9.0  |
+  |     0.24.1 (master)      |  mmcv>=1.4.2, \<1.9.0  |
   |          0.23.2          |  mmcv>=1.4.2, \<1.7.0  |
   |          0.22.1          |  mmcv>=1.4.2, \<1.6.0  |
   |          0.21.0          | mmcv>=1.4.2, \<=1.5.0  |

mmcls/__init__.py

@@ -48,7 +48,7 @@ def digit_version(version_str: str, length: int = 4):
 
 
 mmcv_minimum_version = '1.4.2'
-mmcv_maximum_version = '1.7.0'
+mmcv_maximum_version = '1.9.0'
 mmcv_version = digit_version(mmcv.__version__)
 
 

mmcls/version.py

@@ -1,6 +1,6 @@
 # Copyright (c) OpenMMLab. All rights reserved
 
-__version__ = '0.24.0'
+__version__ = '0.24.1'
 
 
 def parse_version_info(version_str):

requirements/mminstall.txt

@@ -1 +1 @@
-mmcv-full>=1.4.2,<1.7.0
+mmcv-full>=1.4.2,<1.9.0