我用的是Nvidia GTX 660M的显卡，最高只能安装到CUDA 10.1和Torch 1.8.1的版本。请问我还能运行你的这个程序吗？

[TechVillain]

I am a music instructor and I would love to introduce this lovely AI software to our students to try out.

Here in my school we have several Windows 7 Pro 64-bit computers in our classrooms, running on Nvidia GeForce GTX 660M GPU. According to Nvidia, the highest version of graphic driver we can install is 425.31, and the highest CUDA Toolkit we can install would be 10.1.

According to pytorch dot org, with CUDA version 10.1, the highest torch we can install would be: _“torch-1.8.1+cu101-cp39-cp39-winamd64.whl”.

Here, “cu101” in the file name, is referring to CUDA 10.1.

Any torch version higher than 1.8.1, will have a higher “cu” number attached in the whl file name, such as: _“torch-1.10.0+cu102-cp36-cp36m-winamd64.whl”, or _“torch-1.13.0+cu116-cp310-cp310-winamd64.whl”, etc.

In other words, our school can not install any torch higher than version 1.8.1.

In the non-fork so-vits-svc-4.0 program folder, there is a file called “requirements.txt”. We opened that file, and can see it says “torch==1.13.1”. Can we assume torch version 1.13.1 is the lowest minimum requirement for so-vits-svc program to run?

Does it mean we can not install your amazing software on our school’s computers, because our Nvidia GPU are too old, and can’t reach your required pytorch 1.13.1 version? Or maybe it doesn’t matter, a lower pytorch 1.8.1 version can still run?

Too bad! My colleagues have already trained several G_43200.pth models on their home computers, and they can just simply copy these models to our school’s computers and start the voice inference right away. We don’t need to train on the classroom’s computers, we just need to infer on existing models, to demonstrate to our students. Inferring takes an awful lot less of GPU powers to do.

Has anyone tested this program on CUDA 10.1?

Please let me know. So, should I give up? Is it a death penalty for our students to see this?

[DLSeed]

可以试一试的，支持cuda的显卡应该都可以，只是高低端卡训练时间有差别。如果爆显存了可以适当调低batchsize

[TechVillain]

我乐队的朋友已经培训好了一个周杰伦的G_模型，但是他是用CUDA 11.7和TORCH 1.13.1的环境培训的。请问如果我推理的环境跟他的不一样，比他的低，我的环境是CUDA 10.1和TORCH 1.8.1，那么我还能够使用他的那个模型吗？

[DLSeed]

我不是这样的软硬件配置，所以不确定。如果已经有了模型的话可以试试，推理所用的算力、试错所需的时间比训练都少多了。

[patient1234]

我试过，不行