Closed suvayu closed 1 year ago
We do not use nvcc, so it is not much of an issue, but I didn't know this was the case.
This is in the package description:
The CUDA Toolkit from NVIDIA provides everything you need to develop GPU-accelerated applications. This CUDA Toolkit includes GPU-accelerated libraries, and the CUDA runtime for the Conda ecosystem. For the full CUDA Toolkit with a compiler and development tools visit https://developer.nvidia.com/cuda-downloads
Something similar could work, saying that if you want all development tools you can download them yourself from https://developer.nvidia.com/cuda-downloads but that we do not need them for this lesson.
I added a note. Hope that addresses the issue.
Add instructions to setup a local environment using
pip
orconda
I chose this way of installation, because it takes care of installing cudatoolkit automatically. The downside is, this way
nvcc
is not available. Fornvcc
, you need to install cudatoolkit manually. Should I add this as a note in the end? Or would that be too much information?