@mrshenli
Yes, there is a part that GIL avoids. I was trying to use multiprocessing (torch version), it gave some memory issues. I understand your point.
I was trying to run this on K80 GPUs. I didn’t get the graph as shown in the tutorial. Does old hardware could be an issue for not getting the expected graph?
Could you share the script run command, I assumed it is just python scripy.py
do I have to use any specific flags or CUDA env variables that need to be set.
I am just curious why the performance is not there as expected in the tutorial.