目录
一、paas平台环境选择
驱动选择：5.10.22及以上
镜像选择：pytorch2.1
二、代码环境准备
1.代码下载
git clone https://github.com/jianchang512/chatTTS-ui
python /torch/src/catch/tools/torch_gpu2mlu/torch_gpu2mlu.py -i chatTTS-ui/
2.环境安装
modelsope
git clone https://github.com/modelscope/modelscope.git
python /torch/src/catch/tools/torch_gpu2mlu/torch_gpu2mlu.py -i modelscope/
pip install -r modelscope/requirements/framework.txt
pip install -e ./modelscope_mlu/
transformers
git clone -b v4.39.2 https://githubfast.com/huggingface/transformers.git
pip install -e ./transformers/
accelerate
git clone https://githubfast.com/huggingface/accelerate.git
pip install -e ./accelerate/
3.常规pip安装
cd chatTTS-ui_mlu && pip install -r requirements.txt
4.代码修改
vocos/heads
+ mag = mag.cpu()
+ x = x.cpu()
+ y = y.cpu()
S = mag * (x + 1j * y)
+ mag = mag.mlu()
+ x = x.mlu()
+ y = y.mlu()
+ S =S.mlu()
4.代码修改
三.算法启动
模型默认采用魔塔路径下载，这里不做模型下载教学
python app.py
MLU体验感拉满了简直
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