GPU is GeForce GTX 1080 Ti and PyTorch was installed using conda.
Yes I’m using virtual environment, so everything is installed using conda.
Do you mean that conda will install CUDA10.0 that will not disturb the local CUDA installation? In such cases, is it possible to select local CUDA version and bypass conda’s CUDA binary?
I tried PyTorch 1.5 or higher with cudatoolkit=10.0, but there are conflicts with many other packages.