[Docs] Add reminder in docs for macOS M1 users (#2268)

* Add reminder in docs for macOS M1 users

README.md

@@ -82,7 +82,7 @@ There are two versions of MMCV:
 
 a. Install the full version.
 
-Before installing mmcv, make sure that PyTorch has been successfully installed following the [official guide](https://pytorch.org/).
+Before installing mmcv, make sure that PyTorch has been successfully installed following the [official guide](https://pytorch.org/). For macOS M1 users, please make sure you are using `PyTorch Nightly`.
 
 We provide pre-built mmcv packages (recommended) with different PyTorch and CUDA versions to simplify the building for **Linux and Windows systems**. In addition, you can run [check_installation.py](.dev_scripts/check_installation.py) to check the installation of mmcv after running the installation commands.
 

README_zh-CN.md

@@ -81,7 +81,7 @@ MMCV 有两个版本：
 
 a. 安装完整版
 
-在安装 mmcv 之前，请确保 PyTorch 已经成功安装在环境中，可以参考 PyTorch [官方文档](https://pytorch.org/)。
+在安装 mmcv 之前，请确保 PyTorch 已经成功安装在环境中，可以参考 PyTorch [官方文档](https://pytorch.org/)。对于使用 macOS M1 的用户，请确保你的 PyTorch 是 `Nightly` 版本。
 
 我们提供了 **Linux 和 Windows 平台** PyTorch 和 CUDA 版本组合的 mmcv 预编译包，可以大大简化用户安装编译过程。强烈推荐通过预编译包来安装。另外，安装完成后可以运行 [check_installation.py](.dev_scripts/check_installation.py) 脚本检查 mmcv 是否安装成功。
 

docs/en/get_started/build.md

@@ -30,7 +30,7 @@ You can either
   pip install -e .
   ```
 
-If you are on macOS, add the following environment variables before the installing command.
+If you are on macOS, add the following environment variables before the installing command. Meanwhile, please make sure you are using `PyTorch Nightly` in macOS M1.
 
 ```bash
 CC=clang CXX=clang++ CFLAGS='-stdlib=libc++'

docs/en/get_started/installation.md

@@ -11,7 +11,7 @@ Do not install both versions in the same environment, otherwise you may encounte
 
 a. Install the full version.
 
-Before installing mmcv, make sure that PyTorch has been successfully installed following the [official guide](https://pytorch.org/).
+Before installing mmcv, make sure that PyTorch has been successfully installed following the [official guide](https://pytorch.org/). For macOS M1 users, please make sure you are using `PyTorch Nightly`.
 
 We provide pre-built mmcv packages (recommended) with different PyTorch and CUDA versions to simplify the building for **Linux and Windows systems**. In addition, you can run [check_installation.py](https://github.com/open-mmlab/mmcv/blob/2.x/.dev_scripts/check_installation.py) to check the installation of mmcv after running the installation commands.
 

docs/zh_cn/get_started/build.md

@@ -28,7 +28,7 @@ MMCV_WITH_OPS=0 pip install -e .
 pip install -e .
 ```
 
-如果是在 macOS 上编译，则需要在安装命令前添加一些环境变量
+如果是在 macOS 上编译，则需要在安装命令前添加一些环境变量，同时对于使用 macOS M1 的用户，请确保你的 PyTorch 是  `Nightly` 版本。
 
 ```bash
 CC=clang CXX=clang++ CFLAGS='-stdlib=libc++'

docs/zh_cn/get_started/installation.md

@@ -11,7 +11,7 @@ MMCV 有两个版本：
 
 a. 安装完整版
 
-在安装 mmcv 之前，请确保 PyTorch 已经成功安装在环境中，可以参考 PyTorch 官方[文档](https://pytorch.org/)。
+在安装 mmcv 之前，请确保 PyTorch 已经成功安装在环境中，可以参考 PyTorch 官方[文档](https://pytorch.org/)。对于使用 macOS M1 的用户，请确保你的 PyTorch 是 `Nightly` 版本。
 
 我们提供了 **Linux 和 Windows 平台** PyTorch 和 CUDA 版本组合的 mmcv 预编译包，可以大大简化用户安装编译过程。强烈推荐通过预编译包来安装。另外，安装完成后可以运行 [check_installation.py](https://github.com/open-mmlab/mmcv/blob/2.x/.dev_scripts/check_installation.py) 脚本检查 mmcv 是否安装成功。