Venkat Subramanyam
Venkat Subramanyam
Hello @weders.. I have the same issue. Could you resolve it ?
Thanks for quick response @weders. I am not using docker. I cloned the repository and directly ran the setup.py using `"python setup.py install --blas_include_dirs=${CONDA_PREFIX}/include --blas=openblas --force_cuda" ` The problem still...
`torch.cuda.is_available()` was returning `False` in my virtual environment. Matching the CUDA versions resolved the issue. @weders Thanks for your help :)