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@ -86,13 +86,10 @@ https://github.com/open-mmlab/mmpretrain/assets/26739999/e4dcd3a2-f895-4d1b-a351
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## What's new
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🌟 v1.0.2 was released in 15/08/2023
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🌟 v1.1.0 was released in 12/10/2023
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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).
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🌟 v1.0.1 was released in 28/07/2023
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Fix some bugs and enhance the codebase. Please refer to [changelog](https://mmpretrain.readthedocs.io/en/latest/notes/changelog.html) for more details.
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- Support Mini-GPT4 training and provide a Chinese model (based on Baichuan-7B)
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- Support zero-shot classification based on CLIP.
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🌟 v1.0.0 was released in 04/07/2023
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@ -84,13 +84,10 @@ https://github.com/open-mmlab/mmpretrain/assets/26739999/e4dcd3a2-f895-4d1b-a351
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## 更新日志
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🌟 2023/8/15 发布了 v1.0.2 版本
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🌟 2023/10/12 发布了 v1.1.0 版本
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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)。
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🌟 2023/7/28 发布了 v1.0.1 版本
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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)。
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- 支持 Mini-GPT4 训练并提供一个基于 Baichuan-7B 的中文模型
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- 支持基于 CLIP 的零样本分类。
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🌟 2023/7/4 发布了 v1.0.0 版本
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@ -1,9 +1,9 @@
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ARG PYTORCH="1.12.1"
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ARG CUDA="11.3"
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ARG PYTORCH="2.0.1"
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ARG CUDA="11.7"
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ARG CUDNN="8"
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FROM pytorch/torchserve:latest-gpu
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ARG MMPRE="1.0.2"
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ARG MMPRE="1.1.0"
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ENV PYTHONUNBUFFERED TRUE
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@ -1,5 +1,27 @@
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# Changelog (MMPreTrain)
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## v1.1.0(12/10/2023)
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### New Features
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- [Feature] Implement of Zero-Shot CLIP Classifier ([#1737](https://github.com/open-mmlab/mmpretrain/pull/1737))
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- [Feature] Add minigpt4 gradio demo and training script. ([#1758](https://github.com/open-mmlab/mmpretrain/pull/1758))
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### Improvements
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- [Config] New Version of config Adapting MobileNet Algorithm ([#1774](https://github.com/open-mmlab/mmpretrain/pull/1774))
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- [Config] Support DINO self-supervised learning in project ([#1756](https://github.com/open-mmlab/mmpretrain/pull/1756))
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- [Config] New Version of config Adapting Swin Transformer Algorithm ([#1780](https://github.com/open-mmlab/mmpretrain/pull/1780))
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- [Enhance] Add iTPN Supports for Non-three channel image ([#1735](https://github.com/open-mmlab/mmpretrain/pull/1735))
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- [Docs] Update dataset download script from opendatalab to openXlab ([#1765](https://github.com/open-mmlab/mmpretrain/pull/1765))
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- [Docs] Update COCO-Retrieval dataset docs. ([#1806](https://github.com/open-mmlab/mmpretrain/pull/1806))
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### Bug Fix
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- Update `train.py` to compat with new config.
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- Update OFA module to compat with the latest huggingface.
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- Fix pipeline bug in ImageRetrievalInferencer.
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## v1.0.2(15/08/2023)
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### New Features
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@ -16,7 +16,7 @@ and make sure you fill in all required information in the template.
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| MMPretrain version | MMEngine version | MMCV version |
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| :----------------: | :---------------: | :--------------: |
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| 1.0.2 (main) | mmengine >= 0.8.3 | mmcv >= 2.0.0 |
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| 1.1.0 (main) | mmengine >= 0.8.3 | mmcv >= 2.0.0 |
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| 1.0.0 | mmengine >= 0.8.0 | mmcv >= 2.0.0 |
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| 1.0.0rc8 | mmengine >= 0.7.1 | mmcv >= 2.0.0rc4 |
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| 1.0.0rc7 | mmengine >= 0.5.0 | mmcv >= 2.0.0rc4 |
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| MMPretrain 版本 | MMEngine 版本 | MMCV 版本 |
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| :-------------: | :---------------: | :--------------: |
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| 1.0.2 (main) | mmengine >= 0.8.3 | mmcv >= 2.0.0 |
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| 1.1.0 (main) | mmengine >= 0.8.3 | mmcv >= 2.0.0 |
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| 1.0.0 | mmengine >= 0.8.0 | mmcv >= 2.0.0 |
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| 1.0.0rc8 | mmengine >= 0.7.1 | mmcv >= 2.0.0rc4 |
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| 1.0.0rc7 | mmengine >= 0.5.0 | mmcv >= 2.0.0rc4 |
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@ -7,7 +7,7 @@ from .apis import * # noqa: F401, F403
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from .version import __version__
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mmcv_minimum_version = '2.0.0'
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mmcv_maximum_version = '2.1.0'
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mmcv_maximum_version = '2.2.0'
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mmcv_version = digit_version(mmcv.__version__)
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mmengine_minimum_version = '0.8.3'
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# Copyright (c) OpenMMLab. All rights reserved
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__version__ = '1.0.2'
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__version__ = '1.1.0'
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def parse_version_info(version_str):
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Reference in New Issue