[doc] specified operating system requirement (#3019)

* [doc] specified operating system requirement

* polish code

README-zh-Hans.md

@@ -274,19 +274,26 @@ Colossal-AI 为您提供了一系列并行组件。我们的目标是让您的
 <p align="right">(<a href="#top">返回顶端</a>)</p>
 
 ## 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。
->
-> 环境要求: PyTorch 1.10 ~ 1.12 (更新版本正在兼容中), Python >= 3.7, CUDA >= 11.0。如果你遇到安装问题，可以向本项目 [反馈](https://github.com/hpcaitech/ColossalAI/issues/new/choose)。
+
+环境要求:
+
+- PyTorch >= 1.11 (PyTorch 2.x 正在适配中)
+- Python >= 3.7
+- CUDA >= 11.0
+  
+如果你遇到安装问题，可以向本项目 [反馈](https://github.com/hpcaitech/ColossalAI/issues/new/choose)。
 
 
 ### 从PyPI安装
 
-您可以用下面的命令直接从PyPI上下载并安装Colossal-AI。我们默认不会安装PyTorch扩展包
+您可以用下面的命令直接从PyPI上下载并安装Colossal-AI。我们默认不会安装PyTorch扩展包。
 
 ```bash
 pip install colossalai
 ```
 
+**注：目前只支持Linux。**
+
 但是，如果你想在安装时就直接构建PyTorch扩展，您可以设置环境变量`CUDA_EXT=1`.
 
 ```bash

README.md

@@ -276,9 +276,13 @@ Acceleration of [AlphaFold Protein Structure](https://alphafold.ebi.ac.uk/)
 <p align="right">(<a href="#top">back to top</a>)</p>
 
 ## Installation
-> Colossal-AI currently only supports the Linux operating system and has not been tested on other OS such as Windows and macOS.
->
-> Environment Requirement: PyTorch 1.10 ~ 1.12 (WIP higher version), Python >= 3.7, CUDA >= 11.0. If you encounter any problem about installation, you may want to raise an [issue](https://github.com/hpcaitech/ColossalAI/issues/new/choose) in this repository.
+
+Requirements:
+- PyTorch >= 1.11 (PyTorch 2.x in progress)
+- Python >= 3.7
+- CUDA >= 11.0
+  
+If you encounter any problem about installation, you may want to raise an [issue](https://github.com/hpcaitech/ColossalAI/issues/new/choose) in this repository.
 
 ### Install from PyPI
 
@@ -288,6 +292,8 @@ You can easily install Colossal-AI with the following command. **By default, we
 pip install colossalai
 ```
 
+**Note: only Linux is supported for now.**
+
 However, if you want to build the PyTorch extensions during installation, you can set `CUDA_EXT=1`.
 
 ```bash

docs/source/en/get_started/installation.md

 <!-- doc-test-command: echo "installation.md does not need test" -->
 
 # Setup
-> Colossal-AI currently only supports the Linux operating system and has not been tested on other OS such as Windows and macOS.
->
-> Environment Requirement: PyTorch 1.10 ~ 1.12 (WIP higher version), Python >= 3.7, CUDA >= 11.0. If you encounter any problem about installation, you may want to raise an [issue](https://github.com/hpcaitech/ColossalAI/issues/new/choose) in this repository.
+
+Requirements:
+- PyTorch >= 1.11 (PyTorch 2.x in progress)
+- Python >= 3.7
+- CUDA >= 11.0
+  
+If you encounter any problem about installation, you may want to raise an [issue](https://github.com/hpcaitech/ColossalAI/issues/new/choose) in this repository.
 
 
 ## Download From PyPI
@@ -14,6 +18,8 @@ You can install Colossal-AI with
 pip install colossalai
 ```
 
+**Note: only Linux is supported for now**
+
 If you want to build PyTorch extensions during installation, you can use the command below. Otherwise, the PyTorch extensions will be built during runtime.
 
 ```shell

docs/source/zh-Hans/get_started/installation.md

 # 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
->
-> 环境要求: PyTorch 1.10 ~ 1.12 (更新版本正在兼容中), Python >= 3.7, CUDA >= 11.0。如果你遇到安装问题，可以向本项目 [反馈](https://github.com/hpcaitech/ColossalAI/issues/new/choose)。
+
+环境要求:
+
+- PyTorch >= 1.11 (PyTorch 2.x 正在适配中)
+- Python >= 3.7
+- CUDA >= 11.0
+  
+如果你遇到安装问题，可以向本项目 [反馈](https://github.com/hpcaitech/ColossalAI/issues/new/choose)。
 
 ## 从PyPI上安装
 
@@ -11,6 +16,8 @@
 pip install colossalai
 ```
 
+**注：现在只支持Linux。**
+
 如果你想同时安装PyTorch扩展的话，可以添加`CUDA_EXT=1`。如果不添加的话，PyTorch扩展会在运行时自动安装。
 
 ```shell

setup.py

 import os
+import sys
 from datetime import datetime
 from typing import List
 
@@ -31,6 +32,10 @@ IS_NIGHTLY = int(os.environ.get('NIGHTLY', '0')) == 1
 # a variable to store the op builder
 ext_modules = []
 
+# we do not support windows currently
+if sys.platform == 'win32':
+    raise RuntimeError("Windows is not supported yet. Please try again within the Windows Subsystem for Linux (WSL).")
+
 
 # check for CUDA extension dependencies
 def environment_check_for_cuda_extension_build():