diff --git a/README-zh-Hans.md b/README-zh-Hans.md index 1ef8ade85..54d97af82 100644 --- a/README-zh-Hans.md +++ b/README-zh-Hans.md @@ -273,6 +273,7 @@ Colossal-AI 为您提供了一系列并行组件。我们的目标是让您的
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## 安装 +> Colossal-AI 目前仅支持Linux操作系统,没有在其他操作系统如Windows和macOS进行测试 ### 从PyPI安装 diff --git a/README.md b/README.md index 65763325e..bb1b0e216 100644 --- a/README.md +++ b/README.md @@ -275,6 +275,7 @@ Acceleration of [AlphaFold Protein Structure](https://alphafold.ebi.ac.uk/) ## Installation +> Colossal-AI currently only supports the Linux operating system and has not been tested on other OS such as Windows and macOS. ### Install from PyPI diff --git a/docs/source/en/get_started/installation.md b/docs/source/en/get_started/installation.md index b4285a40e..1757b4241 100644 --- a/docs/source/en/get_started/installation.md +++ b/docs/source/en/get_started/installation.md @@ -1,4 +1,5 @@ # Setup +> Colossal-AI currently only supports the Linux operating system and has not been tested on other OS such as Windows and macOS. ## Download From PyPI diff --git a/docs/source/zh-Hans/get_started/installation.md b/docs/source/zh-Hans/get_started/installation.md index bcb2112bb..5f2351ffe 100755 --- a/docs/source/zh-Hans/get_started/installation.md +++ b/docs/source/zh-Hans/get_started/installation.md @@ -1,4 +1,5 @@ # 安装 +> Colossal-AI 目前仅支持Linux操作系统,没有在其他操作系统如Windows和macOS进行测试 ## 从PyPI上安装 diff --git a/examples/tutorial/README.md b/examples/tutorial/README.md index 1da77e831..000cf2117 100644 --- a/examples/tutorial/README.md +++ b/examples/tutorial/README.md @@ -1,5 +1,7 @@ # Colossal-AI Tutorial Hands-on +> This path is an abbreviated tutorial prepared for specific activities and may not be maintained in real time. For use of Colossal-AI, please refer to other [examples](https://github.com/hpcaitech/ColossalAI/tree/main/examples) and [documents](https://www.colossalai.org/). + ## Introduction Welcome to the [Colossal-AI](https://github.com/hpcaitech/ColossalAI) tutorial, which has been accepted as official tutorials by top conference [SC](https://sc22.supercomputing.org/), [AAAI](https://aaai.org/Conferences/AAAI-23/), [PPoPP](https://ppopp23.sigplan.org/), [CVPR](https://cvpr2023.thecvf.com/), etc. @@ -38,16 +40,7 @@ If you encounter any problem while running these tutorials, you may want to rais ## 🛠️ Setup environment [[video]](https://www.youtube.com/watch?v=dpMYj974ZIc) You should use `conda` to create a virtual environment, we recommend **python 3.8**, e.g. `conda create -n colossal python=3.8`. This installation commands are for CUDA 11.3, if you have a different version of CUDA, please download PyTorch and Colossal-AI accordingly. - -``` -# install torch -# visit https://pytorch.org/get-started/locally/ to download other versions -pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu113 - -# install latest ColossalAI -# visit https://colossalai.org/download to download corresponding version of Colossal-AI -pip install colossalai==0.1.11rc3+torch1.12cu11.3 -f https://release.colossalai.org -``` +You can refer to the [Installation](https://github.com/hpcaitech/ColossalAI#installation) to set up your environment. You can run `colossalai check -i` to verify if you have correctly set up your environment 🕹️. 