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Bump version to v1.0.0rc1 (#1066)
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mzr1996 authored Sep 30, 2022
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5 changes: 5 additions & 0 deletions README.md
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Expand Up @@ -58,6 +58,11 @@ The `1.x` branch works with **PyTorch 1.6+**.

## What's new

v1.0.0rc1 was released in 30/9/2022.

- Support MViT, EdgeNeXt, Swin-Transformer V2, EfficientFormer and MobileOne.
- Support BEiT type transformer layer.

v1.0.0rc0 was released in 31/8/2022.

This release introduced a brand new and flexible training & test engine, but it's still in progress. Welcome
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5 changes: 5 additions & 0 deletions README_zh-CN.md
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Expand Up @@ -57,6 +57,11 @@ MMClassification 是一款基于 PyTorch 的开源图像分类工具箱,是 [O

## 更新日志

2022/9/30 发布了 v1.0.0rc1 版本

- 支持了 MViT,EdgeNeXt,Swin-Transformer V2,EfficientFormer,MobileOne 等主干网络。
- 支持了 BEiT 风格的 transformer 层。

2022/8/31 发布了 v1.0.0rc0 版本

这个版本引入一个全新的,可扩展性强的训练和测试引擎,但目前仍在开发中。欢迎根据[文档](https://mmclassification.readthedocs.io/zh_CN/1.x/)进行试用。
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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="7"
FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel

ARG MMCV="2.0.0rc1"
ARG MMCLS="1.0.0rc0"
ARG MMCLS="1.0.0rc1"

ENV PYTHONUNBUFFERED TRUE

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30 changes: 30 additions & 0 deletions docs/en/notes/changelog.md
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# Changelog

## v1.0.0rc1(30/9/2022)

### New Features

- Support MViT for MMCLS 1.x ([#1023](https://github.com/open-mmlab/mmclassification/pull/1023))
- Add ViT huge architecture. ([#1049](https://github.com/open-mmlab/mmclassification/pull/1049))
- Support EdgeNeXt for dev-1.x. ([#1037](https://github.com/open-mmlab/mmclassification/pull/1037))
- Support Swin Transformer V2 for MMCLS 1.x. ([#1029](https://github.com/open-mmlab/mmclassification/pull/1029))
- Add efficientformer Backbone for MMCls 1.x. ([#1031](https://github.com/open-mmlab/mmclassification/pull/1031))
- Add MobileOne Backbone For MMCls 1.x. ([#1030](https://github.com/open-mmlab/mmclassification/pull/1030))
- Support BEiT Transformer layer. ([#919](https://github.com/open-mmlab/mmclassification/pull/919))

### Improvements

- \[Refactor\] Fix visualization tools. ([#1045](https://github.com/open-mmlab/mmclassification/pull/1045))
- \[Improve\] Update benchmark scripts ([#1028](https://github.com/open-mmlab/mmclassification/pull/1028))
- \[Improve\] Update tools to enable `pin_memory` and `persistent_workers` by default. ([#1024](https://github.com/open-mmlab/mmclassification/pull/1024))
- \[CI\] Update circle-ci and github workflow. ([#1018](https://github.com/open-mmlab/mmclassification/pull/1018))

### Bug Fixes

- Fix verify dataset tool in 1.x. ([#1062](https://github.com/open-mmlab/mmclassification/pull/1062))
- Fix `loss_weight` in `LabelSmoothLoss`. ([#1058](https://github.com/open-mmlab/mmclassification/pull/1058))
- Fix the output position of Swin-Transformer. ([#947](https://github.com/open-mmlab/mmclassification/pull/947))

### Docs Update

- Auto generate model summary table. ([#1010](https://github.com/open-mmlab/mmclassification/pull/1010))
- Refactor new modules tutorial. ([#998](https://github.com/open-mmlab/mmclassification/pull/998))

## v1.0.0rc0(31/8/2022)

MMClassification 1.0.0rc0 is the first version of MMClassification 1.x, a part of the OpenMMLab 2.0 projects.
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5 changes: 3 additions & 2 deletions docs/en/notes/faq.md
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Expand Up @@ -17,8 +17,9 @@ and make sure you fill in all required information in the template.

| MMClassification version | MMCV version |
| :----------------------: | :--------------------: |
| 1.0.0rc0 (1.x) | mmcv>=2.0.0rc1 |
| 0.23.1 (master) | mmcv>=1.4.2, \<1.6.0 |
| 1.0.0rc1 (1.x) | mmcv>=2.0.0rc1 |
| 0.24.0 (master) | mmcv>=1.4.2, \<1.7.0 |
| 0.23.1 | mmcv>=1.4.2, \<1.6.0 |
| 0.22.1 | 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 |
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5 changes: 3 additions & 2 deletions docs/zh_CN/notes/faq.md
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Expand Up @@ -15,8 +15,9 @@

| MMClassification version | MMCV version |
| :----------------------: | :--------------------: |
| 1.0.0rc0 (1.x) | mmcv>=2.0.0rc1 |
| 0.23.1 (master) | mmcv>=1.4.2, \<1.6.0 |
| 1.0.0rc1 (1.x) | mmcv>=2.0.0rc1 |
| 0.24.0 (master) | mmcv>=1.4.2, \<1.7.0 |
| 0.23.1 | mmcv>=1.4.2, \<1.6.0 |
| 0.22.1 | 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 |
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2 changes: 1 addition & 1 deletion mmcls/version.py
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# Copyright (c) OpenMMLab. All rights reserved

__version__ = '1.0.0rc0'
__version__ = '1.0.0rc1'


def parse_version_info(version_str):
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