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## 环境准备
我们实践了两种平台进行选择
* 在[autodl](https://www.autodl.com/)平台中租一个3090等24G显存的显卡机器，如下图所示镜像选择`PyTorch`-->`2.0.0`-->`3.8(ubuntu20.04)`-->`11.8`
![autodl](Images/autodl.png)
![autodl](images/autodl.png)
* 在 [InternStudio](https://studio.intern-ai.org.cn/) 平台中选择 A100(1/4) 的配置，如下图所示镜像选择 `Cuda11.7-conda`，如下图所示：
![internstudio](Images/internstudio.png)
![internstudio](images/internstudio.png)
在Terminal中，进行pip换源和安装依赖包
```shell