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[chore] update README

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dijunkun
2025-10-20 21:51:09 +08:00
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35
README.md
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@@ -55,24 +55,45 @@ git submodule init
git submodule update git submodule update
xmake b crossdesk xmake b -vy crossdesk
``` ```
#### 无 CUDA 环境下的开发支持
对于未安装 **CUDA 环境** 的Linux开发者，这里提供了预配置的 [Ubuntu 22.04 Docker 镜像](https://hub.docker.com/r/crossdesk/ubuntu22.04)。 运行
该镜像内置必要的构建依赖，可在容器中开箱即用，无需额外配置即可直接编译项目。 ```
xmake r crossdesk
```
### 无 CUDA 环境下的开发支持
对于未安装 **CUDA 环境** 的 Linux 开发者，这里提供了预配置的 [Ubuntu 22.04 Docker 镜像](https://hub.docker.com/r/crossdesk/ubuntu22.04)。该镜像内置必要的构建依赖，可在容器中开箱即用，无需额外配置即可直接编译项目。
进入容器，下载工程后执行： 进入容器，下载工程后执行：
``` ```
export CUDA_PATH=/usr/local/cuda export CUDA_PATH=/usr/local/cuda
export XMAKE_GLOBALDIR=/data export XMAKE_GLOBALDIR=/data
xmake b --root crossdesk xmake b --root -vy crossdesk
``` ```
运行 对于未安装 **CUDA 环境** 的 Windows 开发者，执行下面的命令安装 CUDA 编译环境：
``` ```
xmake r crossdesk xmake require -vy "cuda 12.6.3"
```
安装完成后执行:
```
xmake require --info "cuda 12.6.3"
```
输出如下:
<img width="860" height="226" alt="Image" src="https://github.com/user-attachments/assets/999ac365-581a-4b9a-806e-05eb3e4cf44d" />
根据上述输出获取到 CUDA 的安装目录，即 installdir 指向的位置。将 CUDA_PATH 加入系统环境变量，或在终端中输入：
```
set CUDA_PATH=path_to_cuda_installdir
```
重新执行：
```
xmake b -vy crossdesk
``` ```
#### 注意 #### 注意

32
README_EN.md
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@@ -55,12 +55,17 @@ git submodule init
git submodule update git submodule update
xmake b crossdesk xmake b -vy crossdesk
```
Run:
```
xmake r crossdesk
``` ```
#### Development Without CUDA Environment #### Development Without CUDA Environment
For developers who do not have a **CUDA environment** installed, a preconfigured [Ubuntu 22.04 Docker image](https://hub.docker.com/r/crossdesk/ubuntu22.04) is provided. For **Linux** developers who do not have a **CUDA environment** installed, a preconfigured [Ubuntu 22.04 Docker image](https://hub.docker.com/r/crossdesk/ubuntu22.04) is provided.
This image comes with all required build dependencies and allows you to build the project directly inside the container without any additional setup. This image comes with all required build dependencies and allows you to build the project directly inside the container without any additional setup.
After entering the container, download the project and run: After entering the container, download the project and run:
@@ -68,12 +73,29 @@ After entering the container, download the project and run:
export CUDA_PATH=/usr/local/cuda export CUDA_PATH=/usr/local/cuda
export XMAKE_GLOBALDIR=/data export XMAKE_GLOBALDIR=/data
xmake b --root crossdesk xmake b --root -vy crossdesk
``` ```
Run: For **Windows** developers without a **CUDA environment** installed, run the following command to install the CUDA build environment:
``` ```
xmake r crossdesk xmake require -vy "cuda 12.6.3"
```
After the installation is complete, execute:
```
xmake require --info "cuda 12.6.3"
```
The output will look like this:
<img width="860" height="226" alt="Image" src="https://github.com/user-attachments/assets/999ac365-581a-4b9a-806e-05eb3e4cf44d" />
From the output above, locate the CUDA installation directory — this is the path pointed to by installdir.
Add this path to your system environment variable CUDA_PATH, or set it in the terminal using:
```
set CUDA_PATH=path_to_cuda_installdir:
```
Then re-run:
```
xmake b -vy crossdesk
``` ```
#### Notice #### Notice