No, cuda-gdb comes with a locally installed CUDA toolkit.
As a quick way to share the backtrace you could start a docker container with an installed CUDA toolkit e.g. nvidia/cuda:11.4.0-devel-ubuntu20.04. You can then start it and mount the folder where the coredump is located and execute cuda-gdb inside it:
docker run -it --gpus=all  -v /folder_with_coredump:/debug nvidia/cuda:11.4.0-devel-ubuntu20.04

The coredump will then be located in /debug inside the container.



 hankdikeman:

I have no problem sharing the code and coredump with you, but since this is in relation to unpublished work I would probably need to send the file links to you over the messaging on this forum or somewhere else rather than post the links or files openly in this thread.


No, you shouldn’t share unreleased code with anyone, so let’s try to get the stacktrace first.
One interesting point would be to know, if you are using any custom CUDA extensions or plain PyTorch code?