different remember to adjust the version number to the one you are after.
Possible problem #1
While, Pytorch comes with its own CUDA toolkit, to build these two projects you must have an identical version of CUDA
installed system-wide.
For example, if you installed pytorch with cudatoolkit==10.2 in the Python environment, you also need to have
CUDA 10.2 installed system-wide.
The exact location may vary from system to system, but /usr/local/cuda-10.2 is the most common location on many
Unix systems. When CUDA is correctly set up and added to the PATH environment variable, one can find the
installation location by doing:
bash
which nvcc
If you don't have CUDA installed system-wide, install it first. You will find the instructions by using your favorite
search engine. For example, if you're on Ubuntu you may want to search for: ubuntu cuda 10.2 install.
