Torch.cuda.is_available() returns False with CUDA 7.0

1

Hi all,

I installed PyTorch successfully using the command:

conda install pytorch torchvision -c soumith

After installation, torch.cuda.is_available() returns False, this may due to the older CUDA version 7.0.

Is it possible to set the CUDA path manually for PyTorch to use GPU?

I have tried two ways to deal with the problem:

  1. Update CUDA (failed, no root privilege)
  2. Install from source (failed, no root to update cmake)

But unfortunately both of them are failed due to the above reasons.

2

What happens if you use conda install cuda80 pytorch torchvision -c soumith? PyTorch ships an updated copy of CUDA that you can use without root.

3

I used this command but torch.cuda.is_available() still returns False :frowning: .

4

upgrade your nvidia driver on your machine and it will be fixed.

5

Thanks for your reply, but I do not have the root privilege to update the nvidia driver.

6

we dont support drivers in the cuda 7.0 generation unfortunately