Bump version to v0.17.0 (#503)

open-mmlab · Oct 29, 2021 · 72cffac · 72cffac
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diff --git a/README.md b/README.md
@@ -31,8 +31,14 @@ This project is released under the [Apache 2.0 license](LICENSE).
 
 ## Changelog
 
-v0.16.0 was released in 30/9/2021.
-Please refer to [changelog.md](docs/changelog.md) for details and release history.
+v0.17.0 was released in 29/10/2021.
+
+Highlights of the new 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)!
+
+Please refer to [changelog.md](docs/changelog.md) for more details and other release history.
 
 ## Benchmark and model zoo
 

diff --git a/README_zh-CN.md b/README_zh-CN.md
@@ -30,7 +30,12 @@ MMClassification 是一款基于 PyTorch 的开源图像分类工具箱，是 [O
 
 ## 更新日志
 
-2021/9/30 发布了 v0.16.0 版本
+2021/10/29 发布了 v0.17.0 版本
+
+新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
 
 发布历史和更新细节请参考 [更新日志](docs/changelog.md)
 

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="1.3.8"
-ARG MMCLS="0.16.0"
+ARG MMCLS="0.17.0"
 
 ENV PYTHONUNBUFFERED TRUE
 

diff --git a/docs/changelog.md b/docs/changelog.md
@@ -1,5 +1,42 @@
 # Changelog
 
+## v0.17.0(29/10/2021)
+
+### Highlights
+
+- 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)!
+
+### New Features
+
+- Add Tokens-to-Token ViT backbone and converted checkpoints. ([#467](https://github.com/open-mmlab/mmclassification/pull/467))
+- Add Res2Net backbone and converted weights. ([#465](https://github.com/open-mmlab/mmclassification/pull/465))
+- Support ImageNet21k dataset. ([#461](https://github.com/open-mmlab/mmclassification/pull/461))
+- Support seesaw loss. ([#500](https://github.com/open-mmlab/mmclassification/pull/500))
+- Add a pipeline visualization tool. ([#406](https://github.com/open-mmlab/mmclassification/pull/406))
+- Add a tool to find broken files. ([#482](https://github.com/open-mmlab/mmclassification/pull/482))
+- Add a tool to test TorchServe. ([#468](https://github.com/open-mmlab/mmclassification/pull/468))
+
+### Improvements
+
+- Refator Vision Transformer. ([#395](https://github.com/open-mmlab/mmclassification/pull/395))
+- Use context manager to reuse matplotlib figures. ([#432](https://github.com/open-mmlab/mmclassification/pull/432))
+
+### Bug Fixes
+
+- Remove `DistSamplerSeedHook` if use `IterBasedRunner`. ([#501](https://github.com/open-mmlab/mmclassification/pull/501))
+- Set the priority of `EvalHook` to "LOW" to avoid a bug when using `IterBasedRunner`. ([#488](https://github.com/open-mmlab/mmclassification/pull/488))
+- Fix a wrong parameter of `get_root_logger` in `apis/train.py`. ([#486](https://github.com/open-mmlab/mmclassification/pull/486))
+- Fix version check in dataset builder. ([#474](https://github.com/open-mmlab/mmclassification/pull/474))
+
+### Docs Update
+
+- Add English Colab tutorials and update Chinese Colab tutorials. ([#483](https://github.com/open-mmlab/mmclassification/pull/483), [#497](https://github.com/open-mmlab/mmclassification/pull/497))
+- Add tutuorial for config files. ([#487](https://github.com/open-mmlab/mmclassification/pull/487))
+- Add model-pages in Model Zoo. ([#480](https://github.com/open-mmlab/mmclassification/pull/480))
+- Add code-spell pre-commit hook and fix a large mount of typos. ([#470](https://github.com/open-mmlab/mmclassification/pull/470))
+
 ## v0.16.0(30/9/2021)
 
 ### Highlights

diff --git a/docs/install.md b/docs/install.md
@@ -8,22 +8,23 @@
 
 The compatible MMClassification and MMCV versions are as below. Please install the correct version of MMCV to avoid installation issues.
 
-| MMClassification version |     MMCV version     |
-|:------------------------:|:--------------------:|
-| master                   | 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          |
+| MMClassification version |     MMCV version      |
+|:------------------------:|:---------------------:|
+| master                   | 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}
 Since the `master` branch is under frequent development, the `mmcv`
@@ -36,7 +37,7 @@ the `master` branch, please try to update `mmcv` to the latest version.
 a. Create a conda virtual environment and activate it.
 
 ```shell
-conda create -n open-mmlab python=3.7 -y
+conda create -n open-mmlab python=3.8 -y
 conda activate open-mmlab
 ```
 
@@ -53,17 +54,17 @@ You can check the supported CUDA version for precompiled packages on the
 ```
 
 `E.g.1` If you have CUDA 10.1 installed under `/usr/local/cuda` and would like to install
-PyTorch 1.5, you need to install the prebuilt PyTorch with CUDA 10.1.
+PyTorch 1.5.1, you need to install the prebuilt PyTorch with CUDA 10.1.
 
 ```shell
-conda install pytorch cudatoolkit=10.1 torchvision -c pytorch
+conda install pytorch==1.5.1 torchvision==0.6.1 cudatoolkit=10.1 -c pytorch
 ```
 
-`E.g.2` If you have CUDA 9.2 installed under `/usr/local/cuda` and would like to install
-PyTorch 1.3.1., you need to install the prebuilt PyTorch with CUDA 9.2.
+`E.g.2` If you have CUDA 11.3 installed under `/usr/local/cuda` and would like to install
+PyTorch 1.10.0., you need to install the prebuilt PyTorch with CUDA 11.3.
 
 ```shell
-conda install pytorch=1.3.1 cudatoolkit=9.2 torchvision=0.4.2 -c pytorch
+conda install pytorch==1.10.0 torchvision==0.11.1 cudatoolkit=11.3 -c pytorch
 ```
 
 If you build PyTorch from source instead of installing the prebuilt package,

diff --git a/docs_zh-CN/install.md b/docs_zh-CN/install.md
@@ -8,21 +8,22 @@
 
 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      |
-|:---------------------:|:--------------------:|
-|        master         | 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       |
+|:---------------------:|:---------------------:|
+|        master         | 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           |
 
 ```{note}
 由于 `master` 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
@@ -34,7 +35,7 @@ MMClassification 和 MMCV 的适配关系如下，请安装正确版本的 MMCV
 a. 创建 conda 虚拟环境，并激活
 
 ```shell
-conda create -n open-mmlab python=3.7 -y
+conda create -n open-mmlab python=3.8 -y
 conda activate open-mmlab
 ```
 
@@ -49,18 +50,18 @@ conda install pytorch torchvision -c pytorch
 可以参照 [PyTorch 官网](https://pytorch.org/) 对预编译包所支持的 CUDA 版本进行核对。
 ```
 
-`例 1`：如果用户的 `/usr/local/cuda` 文件夹下已安装 CUDA 10.1 版本，并且想要安装 PyTorch 1.5 版本，
+`例 1`：如果用户的 `/usr/local/cuda` 文件夹下已安装 CUDA 10.1 版本，并且想要安装 PyTorch 1.5.1 版本，
 则需要安装 CUDA 10.1 下预编译的 PyTorch。
 
 ```shell
-conda install pytorch cudatoolkit=10.1 torchvision -c pytorch
+conda install pytorch==1.5.1 torchvision==0.6.1 cudatoolkit=10.1 -c pytorch
 ```
 
-`例 2`：如果用户的 `/usr/local/cuda` 文件夹下已安装 CUDA 9.2 版本，并且想要安装 PyTorch 1.3.1 版本，
-则需要安装 CUDA 9.2 下预编译的 PyTorch。
+`例 2`：如果用户的 `/usr/local/cuda` 文件夹下已安装 CUDA 11.3 版本，并且想要安装 PyTorch 1.10.0 版本，
+则需要安装 CUDA 11.3 下预编译的 PyTorch。
 
 ```shell
-conda install pytorch=1.3.1 cudatoolkit=9.2 torchvision=0.4.2 -c pytorch
+conda install pytorch==1.10.0 torchvision==0.11.1 cudatoolkit=11.3 -c pytorch
 ```
 
 如果 PyTorch 是由源码进行编译安装（而非直接下载预编译好的安装包），则可以使用更多的 CUDA 版本（如 9.0 版本）。

diff --git a/mmcls/version.py b/mmcls/version.py
@@ -1,6 +1,6 @@
 # Copyright (c) OpenMMLab. All rights reserved
 
-__version__ = '0.16.0'
+__version__ = '0.17.0'
 
 
 def parse_version_info(version_str):