Closed m-azzi closed 4 months ago
Hi there,
You don't have to install cupy (CUDA for python, to deal with functions which run on your GPU) if you are not planning to use the heavy duty file-wide high-pass filtering functions. I would stick to the first part of the installation only, 'pip install npyx', ideally in a fresh conda environment! All the core functions of npyx run fine without cupy.
if you do need cupy, it can be a pain to install and it depends on your hardware, you can ask another question here
Closing issue as inactive.
I'm having some trouble with the installation. When I run the first part of the code (ending with " python -c 'import npyx'") I don't seem to get any errors, just this warning: "UserWarning: CUDA path could not be detected. Set CUDA_PATH environment variable if CuPy fails to load."
When I move on to test the installation, "nvidia-smi" seems to work fine, but "nvcc" returns this error: "nvcc : The term 'nvcc' is not recognized as the name of a cmdlet, function, script file, or operable program. Check the spelling of the name, or if a path was included, verify that the path is correct and try again. At line:1 char:1
How do I resolve this? I'm quite new to coding, so I apologize if the answer is obvious.