I want to make sure that I do not break my installation on my LINUX machine with GPU (cuda 8.0) when attempting to update pytorch, so I am asking here to be sure.
The context is that I had installed PyTorch on my LINUX machine a per the old instructions. Specifically, I have a virtualenv environment, and within that, I pip installed from a wheel.
I would like to now upgrade my PyTorch version to whatever is on master, and the website has this to say about LINUX with CUDA8:
conda install pytorch torchvision cuda80 -c soumith
However, I do not have conda, and anyway I installed via a wheel with pip.
Is there anything I should do (or not do) in particular here to make sure I do not break my system? I want to basically just update my pytorch on my LINUX machine.
Thanks!