Bump version to v0.18.0 (#569)

* Bump version to v0.18.0 * Add highlight of previous version in readme * Imporve docs
open-mmlab · Nov 30, 2021 · f6076bf · f6076bf
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diff --git a/README.md b/README.md
@@ -31,9 +31,15 @@ This project is released under the [Apache 2.0 license](LICENSE).
 
 ## Changelog
 
-v0.17.0 was released in 29/10/2021.
+v0.18.0 was released in 30/11/2021.
 
 Highlights of the new version:
+- Support **MLP-Mixer** backbone and provide pre-trained checkpoints.
+- Add a tool to **visualize the learning rate curve** of the training phase. Welcome to use with the [tutorial](https://mmclassification.readthedocs.io/en/latest/tools/visualization.html#learning-rate-schedule-visualization)!
+
+v0.17.0 was released in 29/10/2021.
+
+Highlights of this version:
 - Support **Tokens-to-Token ViT** backbone and **Res2Net** backbone. Welcome to use!
 - Support **ImageNet21k** dataset.
 - Add a **pipeline visualization** tool. Try it with the [tutorials](https://mmclassification.readthedocs.io/en/latest/tools/visualization.html#pipeline-visualization)!
@@ -61,6 +67,10 @@ Supported backbones:
 - [x] Vision-Transformer
 - [x] Transformer-in-Transformer
 - [x] Res2Net
+- [x] MLP-Mixer
+- [ ] DeiT
+- [ ] Conformer
+- [ ] EfficientNet
 
 ## Installation
 

diff --git a/README_zh-CN.md b/README_zh-CN.md
@@ -30,9 +30,15 @@ MMClassification 是一款基于 PyTorch 的开源图像分类工具箱，是 [O
 
 ## 更新日志
 
-2021/10/29 发布了 v0.17.0 版本
+2021/11/30 发布了 v0.18.0 版本
 
 新版本的一些新功能如下：
+- 支持了 **MLP-Mixer** 主干网络，欢迎使用！
+- 添加了一个**可视化学习率曲线**的工具，可以参考[教程](https://mmclassification.readthedocs.io/zh_CN/latest/tools/visualization.html#id3)使用
+
+2021/10/29 发布了 v0.17.0 版本
+
+该版本的一些新功能如下：
 - 支持了 **Tokens-to-Token ViT** 主干网络和 **Res2Net** 主干网络，欢迎使用！
 - 支持了 **ImageNet21k** 数据集
 - 添加了一个**可视化数据预处理**的工具，可以参考[教程](https://mmclassification.readthedocs.io/zh_CN/latest/tools/visualization.html#id2)使用
@@ -60,6 +66,10 @@ MMClassification 是一款基于 PyTorch 的开源图像分类工具箱，是 [O
 - [x] Vision-Transformer
 - [x] Transformer-in-Transformer
 - [x] Res2Net
+- [x] MLP-Mixer
+- [ ] DeiT
+- [ ] Conformer
+- [ ] EfficientNet
 
 ## 安装
 

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="1.3.16"
-ARG MMCLS="0.17.0"
+ARG MMCLS="0.18.0"
 
 ENV PYTHONUNBUFFERED TRUE
 

diff --git a/docs/changelog.md b/docs/changelog.md
@@ -1,5 +1,48 @@
 # Changelog
 
+## v0.18.0(30/11/2021)
+
+### Highlights
+
+- Support MLP-Mixer backbone and provide pre-trained checkpoints.
+- Add a tool to visualize the learning rate curve of the training phase. Welcome to use with the [tutorial](https://mmclassification.readthedocs.io/en/latest/tools/visualization.html#learning-rate-schedule-visualization)!
+
+### New Features
+
+- Add MLP Mixer Backbone. ([#528](https://github.com/open-mmlab/mmclassification/pull/528), [#539](https://github.com/open-mmlab/mmclassification/pull/539))
+- Support positive weights in BCE. ([#516](https://github.com/open-mmlab/mmclassification/pull/516))
+- Add a tool to visualize learning rate in each iterations. ([#498](https://github.com/open-mmlab/mmclassification/pull/498))
+
+### Improvements
+
+- Use CircleCI to do unit tests. ([#567](https://github.com/open-mmlab/mmclassification/pull/567))
+- Focal loss for single label tasks. ([#548](https://github.com/open-mmlab/mmclassification/pull/548))
+- Remove useless `import_modules_from_string`. ([#544](https://github.com/open-mmlab/mmclassification/pull/544))
+- Rename config files according to the config name standard. ([#508](https://github.com/open-mmlab/mmclassification/pull/508))
+- Use `reset_classifier` to remove head of timm backbones. ([#534](https://github.com/open-mmlab/mmclassification/pull/534))
+- Support passing arguments to loss from head. ([#523](https://github.com/open-mmlab/mmclassification/pull/523))
+- Refactor `Resize` transform and add `Pad` transform. ([#506](https://github.com/open-mmlab/mmclassification/pull/506))
+- Update mmcv dependency version. ([#509](https://github.com/open-mmlab/mmclassification/pull/509))
+
+### Bug Fixes
+
+- Fix bug when using `ClassBalancedDataset`. ([#555](https://github.com/open-mmlab/mmclassification/pull/555))
+- Fix a bug when using iter-based runner with 'val' workflow. ([#542](https://github.com/open-mmlab/mmclassification/pull/542))
+- Fix interpolation method checking in `Resize`. ([#547](https://github.com/open-mmlab/mmclassification/pull/547))
+- Fix a bug when load checkpoints in mulit-GPUs environment. ([#527](https://github.com/open-mmlab/mmclassification/pull/527))
+- Fix an error on indexing scalar metrics in `analyze_result.py`. ([#518](https://github.com/open-mmlab/mmclassification/pull/518))
+- Fix wrong condition judgment in `analyze_logs.py` and prevent empty curve. ([#510](https://github.com/open-mmlab/mmclassification/pull/510))
+
+### Docs Update
+
+- Fix vit config and model broken links. ([#564](https://github.com/open-mmlab/mmclassification/pull/564))
+- Add abstract and image for every paper. ([#546](https://github.com/open-mmlab/mmclassification/pull/546))
+- Add mmflow and mim in banner and readme. ([#543](https://github.com/open-mmlab/mmclassification/pull/543))
+- Add schedule and runtime tutorial docs. ([#499](https://github.com/open-mmlab/mmclassification/pull/499))
+- Add the top-5 acc in ResNet-CIFAR README. ([#531](https://github.com/open-mmlab/mmclassification/pull/531))
+- Fix TOC of `visualization.md` and add example images. ([#513](https://github.com/open-mmlab/mmclassification/pull/513))
+- Use docs link of other projects and add MMCV docs. ([#511](https://github.com/open-mmlab/mmclassification/pull/511))
+
 ## v0.17.0(29/10/2021)
 
 ### Highlights

diff --git a/docs/install.md b/docs/install.md
@@ -11,6 +11,7 @@ The compatible MMClassification and MMCV versions are as below. Please install t
 | MMClassification version |     MMCV version      |
 |:------------------------:|:---------------------:|
 | master                   | 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  |

diff --git a/docs_zh-CN/install.md b/docs_zh-CN/install.md
@@ -11,6 +11,7 @@ MMClassification 和 MMCV 的适配关系如下，请安装正确版本的 MMCV
 | MMClassification 版本 |       MMCV 版本       |
 |:---------------------:|:---------------------:|
 |        master         | 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  |

diff --git a/mmcls/version.py b/mmcls/version.py
@@ -1,6 +1,6 @@
 # Copyright (c) OpenMMLab. All rights reserved
 
-__version__ = '0.17.0'
+__version__ = '0.18.0'
 
 
 def parse_version_info(version_str):