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Bump v0.26.0 (open-mmlab#1731)
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MengzhangLI authored Jul 1, 2022
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -75,7 +75,7 @@ The master branch works with **PyTorch 1.5+**.

## What's New

v0.25.0 was released in 6/2/2022:
v0.26.0 was released in 7/1/2022:

- Support PyTorch backend on MLU

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2 changes: 1 addition & 1 deletion README_zh-CN.md
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Expand Up @@ -72,7 +72,7 @@ MMSegmentation 是一个基于 PyTorch 的语义分割开源工具箱。它是 O

## 最新进展

最新版本 v0.25.0 在 2022.6.2 发布:
最新版本 v0.26.0 在 2022.7.1 发布:

- 支持 PyTorch MLU 后端

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2 changes: 1 addition & 1 deletion docker/serve/Dockerfile
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Expand Up @@ -4,7 +4,7 @@ ARG CUDNN="8"
FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel

ARG MMCV="1.5.0"
ARG MMSEG="0.25.0"
ARG MMSEG="0.26.0"

ENV PYTHONUNBUFFERED TRUE

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37 changes: 37 additions & 0 deletions docs/en/changelog.md
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## Changelog

### V0.26.0 (7/1/2022)

**Highlights**

- Update New SegFormer models on ADE20K ([1705](https://github.com/open-mmlab/mmsegmentation/pull/1705))
- Dedicated MMSegWandbHook for MMSegmentation ([1603](https://github.com/open-mmlab/mmsegmentation/pull/1603))

**New Features**

- Update New SegFormer models on ADE20K ([1705](https://github.com/open-mmlab/mmsegmentation/pull/1705))
- Dedicated MMSegWandbHook for MMSegmentation ([1603](https://github.com/open-mmlab/mmsegmentation/pull/1603))
- Add UPerNet r18 results ([1669](https://github.com/open-mmlab/mmsegmentation/pull/1669))

**Enhancement**

- Keep dimension of `cls_token_weight` for easier ONNX deployment ([1642](https://github.com/open-mmlab/mmsegmentation/pull/1642))
- Support infererence with padding ([1607](https://github.com/open-mmlab/mmsegmentation/pull/1607))

**Bug Fixes**

- Fix typos ([#1640](https://github.com/open-mmlab/mmsegmentation/pull/1640), [#1667](https://github.com/open-mmlab/mmsegmentation/pull/1667), [#1656](https://github.com/open-mmlab/mmsegmentation/pull/1656), [#1699](https://github.com/open-mmlab/mmsegmentation/pull/1699), [#1702](https://github.com/open-mmlab/mmsegmentation/pull/1702), [#1695](https://github.com/open-mmlab/mmsegmentation/pull/1695), [#1707](https://github.com/open-mmlab/mmsegmentation/pull/1707), [#1708](https://github.com/open-mmlab/mmsegmentation/pull/1708), [#1721](https://github.com/open-mmlab/mmsegmentation/pull/1721))

**Documentation**

- Fix `mdformat` version to support python3.6 and remove ruby installation ([1672](https://github.com/open-mmlab/mmsegmentation/pull/1672))

**Contributors**

- @RunningLeon made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1642
- @zhouzaida made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1655
- @tkhe made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1667
- @rotorliu made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1656
- @EvelynWang-0423 made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1679
- @ZhaoYi1222 made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1616
- @Sanster made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1704
- @ayulockin made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1603

### V0.25.0 (6/2/2022)

**Highlights**
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1 change: 1 addition & 0 deletions docs/en/faq.md
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Expand Up @@ -9,6 +9,7 @@ The compatible MMSegmentation and MMCV versions are as below. Please install the
| MMSegmentation version | MMCV version | MMClassification version |
| :--------------------: | :-------------------------: | :----------------------: |
| master | mmcv-full>=1.5.0, \<=1.6.0 | mmcls>=0.20.1, \<=1.0.0 |
| 0.26.0 | mmcv-full>=1.5.0, \<=1.6.0 | mmcls>=0.20.1, \<=1.0.0 |
| 0.25.0 | mmcv-full>=1.5.0, \<=1.6.0 | mmcls>=0.20.1, \<=1.0.0 |
| 0.24.1 | mmcv-full>=1.4.4, \<=1.6.0 | mmcls>=0.20.1, \<=1.0.0 |
| 0.23.0 | mmcv-full>=1.4.4, \<=1.6.0 | mmcls>=0.20.1, \<=1.0.0 |
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2 changes: 1 addition & 1 deletion mmseg/version.py
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# Copyright (c) Open-MMLab. All rights reserved.

__version__ = '0.25.0'
__version__ = '0.26.0'


def parse_version_info(version_str):
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