@pritamdamania87 I don’t know what additional worker doing exactly.
In previous, It will be enough 4 workers for 4 GPUs system. They cannot MemcpyH2D simultaneously. So I just added 1 more worker. Profiler shows what I expected…
Workers are passed to data loader I guess. If you see the PyTorch document, they told that worker is a sort of subprocess of data loader. So, I think it will not be any problem for performance comparison…