Dear community,
I have access to a machine with 64 cores. On this machine I am supposed to train my model using jupyter lab.
The problem is that I am only allowed to utilize 8 of the 64 available cores in order to not disturb the other people who I am sharing the machine with.
May I ask what would be the go-to, best practise approach to limit the amount of cores used?
I believe to understand that pytorch.multiprocessing Pool could allow me to set the number of processes. But is there a better way?
I would love to get your input.
Yours,
Tridelt