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KakaruHayate 2024-03-30 22:53:31 +08:00
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@ -133,15 +133,16 @@ docker run --rm -it --gpus=all --env=is_half=False --volume=G:\GPT-SoVITS-Docker
只能运行在Ubuntu 20.04 LTS（内核版本5.4.X-5.15.X）下，非虚拟机，Intel CORE系列CPU 只能运行在Ubuntu 20.04 LTS（内核版本5.4.X-5.15.X）下，非虚拟机，Intel CORE系列CPU
1.前往[摩尔线程应用商店](https://developer.mthreads.com/sdk/download/musa?equipment=&os=Ubuntu&driverVersion=&version=)下载并按顺序安装`musa driver`、`musa_toolkit`、`mudnn`、`mccl` 1. 前往[摩尔线程应用商店](https://developer.mthreads.com/sdk/download/musa?equipment=&os=Ubuntu&driverVersion=&version=)下载并按顺序安装`musa driver`、`musa_toolkit`、`mudnn`、`mccl`
2.前往[torch_musa](https://github.com/MooreThreads/torch_musa/releases/tag/v1.1.0)，根据你的显卡和python版本下载`torch`、`torch_musa`，将文件名`-linux_x86_64`后部分删除，使用以下命令安装
2. 前往[torch_musa](https://github.com/MooreThreads/torch_musa/releases/tag/v1.1.0)，根据你的显卡和python版本下载`torch`、`torch_musa`，将文件名`-linux_x86_64`后部分删除，使用以下命令安装
``` ```
pip install torch-2.0.0-cp39-cp39-linux_x86_64.whl pip install torch-2.0.0-cp39-cp39-linux_x86_64.whl
pip install torch_musa-1.1.0-cp39-cp39-linux_x86_64.whl pip install torch_musa-1.1.0-cp39-cp39-linux_x86_64.whl
``` ```
3.安装环境 3. 安装环境
``` ```
conda install -c conda-forge gcc conda install -c conda-forge gcc
@ -162,7 +163,7 @@ USE_CUDA=0 python setup.py install
pip install -r requirements.txt pip install -r requirements.txt
``` ```
4.运行`python webui.py` 4. 运行`python webui.py`
## 预训练模型 ## 预训练模型