Bump version to v1.1.0

README.md

@@ -86,13 +86,10 @@ https://github.com/open-mmlab/mmpretrain/assets/26739999/e4dcd3a2-f895-4d1b-a351
 
 ## What's new
 
-🌟 v1.0.2 was released in 15/08/2023
+🌟 v1.1.0 was released in 12/10/2023
 
-Support [MFF](./configs/mff/) self-supervised algorithm and enhance the codebase. More details can be found in the [changelog](https://mmpretrain.readthedocs.io/en/latest/notes/changelog.html).
+- Support Mini-GPT4 training and provide a Chinese model (based on Baichuan-7B)
-
+- Support zero-shot classification based on CLIP.
-🌟 v1.0.1 was released in 28/07/2023
-
-Fix some bugs and enhance the codebase. Please refer to [changelog](https://mmpretrain.readthedocs.io/en/latest/notes/changelog.html) for more details.
 
 🌟 v1.0.0 was released in 04/07/2023
 

README_zh-CN.md

@@ -84,13 +84,10 @@ https://github.com/open-mmlab/mmpretrain/assets/26739999/e4dcd3a2-f895-4d1b-a351
 
 ## 更新日志
 
-🌟 2023/8/15 发布了 v1.0.2 版本
+🌟 2023/10/12 发布了 v1.1.0 版本
 
-支持了 [MFF](./configs/mff/) 自监督算法，增强算法库功能。细节请参考 [更新日志](https://mmpretrain.readthedocs.io/zh_CN/latest/notes/changelog.html)。
+- 支持 Mini-GPT4 训练并提供一个基于 Baichuan-7B 的中文模型
-
+- 支持基于 CLIP 的零样本分类。
-🌟 2023/7/28 发布了 v1.0.1 版本
-
-修复部分 bug 和增强算法库功能。细节请参考 [更新日志](https://mmpretrain.readthedocs.io/zh_CN/latest/notes/changelog.html)。
 
 🌟 2023/7/4 发布了 v1.0.0 版本
 

docker/serve/Dockerfile

@@ -1,9 +1,9 @@
-ARG PYTORCH="1.12.1"
+ARG PYTORCH="2.0.1"
-ARG CUDA="11.3"
+ARG CUDA="11.7"
 ARG CUDNN="8"
 FROM pytorch/torchserve:latest-gpu
 
-ARG MMPRE="1.0.2"
+ARG MMPRE="1.1.0"
 
 ENV PYTHONUNBUFFERED TRUE
 

docs/en/notes/changelog.md

@@ -1,5 +1,27 @@
 # Changelog (MMPreTrain)
 
+## v1.1.0(12/10/2023)
+
+### New Features
+
+- [Feature] Implement of Zero-Shot CLIP Classifier ([#1737](https://github.com/open-mmlab/mmpretrain/pull/1737))
+- [Feature] Add minigpt4 gradio demo and training script. ([#1758](https://github.com/open-mmlab/mmpretrain/pull/1758))
+
+### Improvements
+
+- [Config] New Version of config Adapting MobileNet Algorithm ([#1774](https://github.com/open-mmlab/mmpretrain/pull/1774))
+- [Config] Support DINO self-supervised learning in project ([#1756](https://github.com/open-mmlab/mmpretrain/pull/1756))
+- [Config] New Version of config Adapting Swin Transformer Algorithm ([#1780](https://github.com/open-mmlab/mmpretrain/pull/1780))
+- [Enhance] Add iTPN Supports for Non-three channel image ([#1735](https://github.com/open-mmlab/mmpretrain/pull/1735))
+- [Docs] Update dataset download script from opendatalab to openXlab ([#1765](https://github.com/open-mmlab/mmpretrain/pull/1765))
+- [Docs] Update COCO-Retrieval dataset docs. ([#1806](https://github.com/open-mmlab/mmpretrain/pull/1806))
+
+### Bug Fix
+
+- Update `train.py` to compat with new config.
+- Update OFA module to compat with the latest huggingface.
+- Fix pipeline bug in ImageRetrievalInferencer.
+
 ## v1.0.2(15/08/2023)
 
 ### New Features

docs/en/notes/faq.md

@@ -16,7 +16,7 @@ and make sure you fill in all required information in the template.
 
   | MMPretrain version | MMEngine version  |   MMCV version   |
   | :----------------: | :---------------: | :--------------: |
-  |    1.0.2 (main)    | mmengine >= 0.8.3 |  mmcv >= 2.0.0   |
+  |    1.1.0 (main)    | mmengine >= 0.8.3 |  mmcv >= 2.0.0   |
   |       1.0.0        | mmengine >= 0.8.0 |  mmcv >= 2.0.0   |
   |      1.0.0rc8      | mmengine >= 0.7.1 | mmcv >= 2.0.0rc4 |
   |      1.0.0rc7      | mmengine >= 0.5.0 | mmcv >= 2.0.0rc4 |

docs/zh_CN/notes/faq.md

@@ -13,7 +13,7 @@
 
   | MMPretrain 版本 |   MMEngine 版本   |    MMCV 版本     |
   | :-------------: | :---------------: | :--------------: |
-  |  1.0.2 (main)   | mmengine >= 0.8.3 |  mmcv >= 2.0.0   |
+  |  1.1.0 (main)   | mmengine >= 0.8.3 |  mmcv >= 2.0.0   |
   |      1.0.0      | mmengine >= 0.8.0 |  mmcv >= 2.0.0   |
   |    1.0.0rc8     | mmengine >= 0.7.1 | mmcv >= 2.0.0rc4 |
   |    1.0.0rc7     | mmengine >= 0.5.0 | mmcv >= 2.0.0rc4 |

mmpretrain/__init__.py

@@ -7,7 +7,7 @@ from .apis import *  # noqa: F401, F403
 from .version import __version__
 
 mmcv_minimum_version = '2.0.0'
-mmcv_maximum_version = '2.1.0'
+mmcv_maximum_version = '2.2.0'
 mmcv_version = digit_version(mmcv.__version__)
 
 mmengine_minimum_version = '0.8.3'

mmpretrain/version.py

@@ -1,6 +1,6 @@
 # Copyright (c) OpenMMLab. All rights reserved
 
-__version__ = '1.0.2'
+__version__ = '1.1.0'
 
 
 def parse_version_info(version_str):