I just got a new desktop. It has a rtx 3080 gpu. I have torch 1.12.0+cpu installed. cuda 11.6 installed. visual studio 2019 installed. everytime I do torch.conda.is_available() it returns false. I have been trying for hours with no luck
I just installed torch that is not the cpu only version so the torch version is now
1.12.0. Still no luck
I cannot reproduce the issue on a Windows Laptop with a GPU and can properly use the CUDA runtime:
pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu116 ... >>> import torch >>> torch.__version__ '1.12.0+cu116' >>> torch.version.cuda '11.6' >>> x = torch.randn(1).cuda() >>> x tensor([0.0287], device='cuda:0')
Have you selected the correct interpreter? Otherwise, Visual Studio will default to the default env where it’s not installed. I think the command is
Ctrl + Shift + P to select the interpreter.