Bump version to v0.22.1 (open-mmlab#785)

xjtuchenchao · Apr 15, 2022 · eda75d1 · eda75d1
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diff --git a/README.md b/README.md
@@ -140,6 +140,7 @@ Results and models are available in the [model zoo](https://mmclassification.rea
 - [x] [HRNet](https://github.com/open-mmlab/mmclassification/tree/master/configs/hrnet)
 - [x] [ConvMixer](https://github.com/open-mmlab/mmclassification/tree/master/configs/convmixer)
 - [x] [CSPNet](https://github.com/open-mmlab/mmclassification/tree/master/configs/cspnet)
+- [x] [PoolFormer](https://github.com/open-mmlab/mmclassification/tree/master/configs/poolformer)
 
 </details>
 

diff --git a/README_zh-CN.md b/README_zh-CN.md
@@ -138,6 +138,7 @@ pip3 install -e .
 - [x] [HRNet](https://github.com/open-mmlab/mmclassification/tree/master/configs/hrnet)
 - [x] [ConvMixer](https://github.com/open-mmlab/mmclassification/tree/master/configs/convmixer)
 - [x] [CSPNet](https://github.com/open-mmlab/mmclassification/tree/master/configs/cspnet)
+- [x] [PoolFormer](https://github.com/open-mmlab/mmclassification/tree/master/configs/poolformer)
 
 </details>
 

diff --git a/configs/swin_transformer/README.md b/configs/swin_transformer/README.md
@@ -45,7 +45,7 @@ The pre-trained models on ImageNet-21k are used to fine-tune, and therefore don'
 
 |       Model      |  Pretrain   | resolution  | Params(M) | Flops(G) | Top-1 (%) |  Config | Download |
 |:----------------:|:------------:|:---------:|:---------:|:--------:|:---------:|:---------:|:---------:|
-|      Swin-L      |  [ImageNet-21k](https://download.openmmlab.com/mmclassification/v0/swin-transformer/convert/swin-base_3rdparty_in21k-384px.pth) |   384x384   |  195.51   |   100.04   |   91.87   |  [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/swin_transformer/swin-large_8xb8_cub.py) | [model](https://download.openmmlab.com/mmclassification/v0/swin-transformer/swin-large_8xb8_cub_384px_20220307-1bbaee6a.pth) &#124; [log](https://download.openmmlab.com/mmclassification/v0/swin-transformer/swin-large_8xb8_cub_384px_20220307-1bbaee6a.log.json) |
+|      Swin-L      |  [ImageNet-21k](https://download.openmmlab.com/mmclassification/v0/swin-transformer/convert/swin-base_3rdparty_in21k-384px.pth) |   384x384   |  195.51   |   100.04   |   91.87   |  [config](https://github.com/open-mmlab/mmclassification/blob/master/configs/swin_transformer/swin-large_8xb8_cub_384px.py) | [model](https://download.openmmlab.com/mmclassification/v0/swin-transformer/swin-large_8xb8_cub_384px_20220307-1bbaee6a.pth) &#124; [log](https://download.openmmlab.com/mmclassification/v0/swin-transformer/swin-large_8xb8_cub_384px_20220307-1bbaee6a.log.json) |
 
 
 ## Citation

diff --git a/docker/serve/Dockerfile b/docker/serve/Dockerfile
@@ -4,7 +4,7 @@ ARG CUDNN="7"
 FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
 
 ARG MMCV="1.4.2"
-ARG MMCLS="0.22.0"
+ARG MMCLS="0.22.1"
 
 ENV PYTHONUNBUFFERED TRUE
 

diff --git a/docs/en/changelog.md b/docs/en/changelog.md
@@ -1,5 +1,17 @@
 # Changelog
 
+## v0.22.1(15/4/2022)
+
+### New Features
+
+- [Feature] Support resize relative position embedding in `SwinTransformer`. ([#749](https://github.com/open-mmlab/mmclassification/pull/749))
+- [Feature] Add PoolFormer backbone and checkpoints. ([#746](https://github.com/open-mmlab/mmclassification/pull/746))
+
+### Improvements
+
+- [Enhance] Improve CPE performance by reduce memory copy. ([#762](https://github.com/open-mmlab/mmclassification/pull/762))
+- [Enhance] Add extra dataloader settings in configs. ([#752](https://github.com/open-mmlab/mmclassification/pull/752))
+
 ## v0.22.0(30/3/2022)
 
 ### Highlights

diff --git a/docs/en/install.md b/docs/en/install.md
@@ -10,8 +10,8 @@ The compatible MMClassification and MMCV versions are as below. Please install t
 
 | MMClassification version |     MMCV version      |
 |:------------------------:|:---------------------:|
-| dev                      | mmcv>=1.4.8, <=1.5.0  |
-| 0.22.0 (master)          | mmcv>=1.4.2, <=1.5.0  |
+| dev                      | mmcv>=1.4.8, <1.6.0   |
+| 0.22.1 (master)          | 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  |
 | 0.19.0                   | mmcv>=1.3.16, <=1.5.0 |

diff --git a/docs/zh_CN/install.md b/docs/zh_CN/install.md
@@ -8,27 +8,28 @@
 
 MMClassification 和 MMCV 的适配关系如下，请安装正确版本的 MMCV 以避免安装问题
 
-| MMClassification 版本 |       MMCV 版本       |
-|:---------------------:|:---------------------:|
-|        dev            | mmcv>=1.4.8, <=1.5.0  |
-|        0.22.0 (master)| mmcv>=1.4.2, <=1.5.0  |
-|        0.21.0         | mmcv>=1.4.2, <=1.5.0  |
-|        0.20.1         | mmcv>=1.4.2, <=1.5.0  |
-|        0.19.0         | mmcv>=1.3.16, <=1.5.0 |
-|        0.18.0         | mmcv>=1.3.16, <=1.5.0 |
-|        0.17.0         | mmcv>=1.3.8, <=1.5.0  |
-|        0.16.0         | mmcv>=1.3.8, <=1.5.0  |
-|        0.15.0         | mmcv>=1.3.8, <=1.5.0  |
-|        0.14.0         | mmcv>=1.3.8, <=1.5.0  |
-|        0.13.0         | mmcv>=1.3.8, <=1.5.0  |
-|        0.12.0         | mmcv>=1.3.1, <=1.5.0  |
-|        0.11.1         | mmcv>=1.3.1, <=1.5.0  |
-|        0.11.0         | mmcv>=1.3.0           |
-|        0.10.0         | mmcv>=1.3.0           |
-|         0.9.0         | mmcv>=1.1.4           |
-|         0.8.0         | mmcv>=1.1.4           |
-|         0.7.0         | mmcv>=1.1.4           |
-|         0.6.0         | mmcv>=1.1.4           |
+|   MMClassification 版本  |       MMCV 版本       |
+|:------------------------:|:---------------------:|
+| dev                      | mmcv>=1.4.8, <1.6.0   |
+| 0.22.1 (master)          | 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  |
+| 0.19.0                   | mmcv>=1.3.16, <=1.5.0 |
+| 0.18.0                   | mmcv>=1.3.16, <=1.5.0 |
+| 0.17.0                   | mmcv>=1.3.8, <=1.5.0  |
+| 0.16.0                   | mmcv>=1.3.8, <=1.5.0  |
+| 0.15.0                   | mmcv>=1.3.8, <=1.5.0  |
+| 0.15.0                   | mmcv>=1.3.8, <=1.5.0  |
+| 0.14.0                   | mmcv>=1.3.8, <=1.5.0  |
+| 0.13.0                   | mmcv>=1.3.8, <=1.5.0  |
+| 0.12.0                   | mmcv>=1.3.1, <=1.5.0  |
+| 0.11.1                   | mmcv>=1.3.1, <=1.5.0  |
+| 0.11.0                   | mmcv>=1.3.0           |
+| 0.10.0                   | mmcv>=1.3.0           |
+| 0.9.0                    | mmcv>=1.1.4           |
+| 0.8.0                    | mmcv>=1.1.4           |
+| 0.7.0                    | mmcv>=1.1.4           |
+| 0.6.0                    | mmcv>=1.1.4           |
 
 ```{note}
 由于 `dev` 分支处于频繁开发中，`mmcv` 版本依赖可能不准确。如果您在使用

diff --git a/mmcls/__init__.py b/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 = '1.5.0'
+mmcv_maximum_version = '1.6.0'
 mmcv_version = digit_version(mmcv.__version__)
 
 

diff --git a/mmcls/version.py b/mmcls/version.py
@@ -1,6 +1,6 @@
 # Copyright (c) OpenMMLab. All rights reserved
 
-__version__ = '0.22.0'
+__version__ = '0.22.1'
 
 
 def parse_version_info(version_str):

diff --git a/requirements/mminstall.txt b/requirements/mminstall.txt
@@ -1 +1 @@
-mmcv-full>=1.4.2,<=1.5.0
+mmcv-full>=1.4.2,<1.6.0