Closed avaer closed 7 months ago
I cannot think of any other remedy than to try upgrading the CUDA toolkit to get a newer version of nvcc. It obviously shouldn't be possible for any sort of source code to make the compiler crash.
There have been reports of nvcc crashes such as this and this, although those are with a later version. It might be possible to fiddle with the compiler options to avoid the crash, but that's pretty much voodoo at this point.
I'm trying to run the samples on my H100 server (using cuda cu118).
This crashes on
nvcc
:My nvcc version:
I am using the following pytorch:
nvidia-smi:
cudatoolkit:
I tried clearing the cache per https://github.com/NVlabs/nvdiffrast/issues/76#issuecomment-1142009426 and that didn't change the result.