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Why broadcast_buffers=False in train.py? #15

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huiliukeith-mineral opened this issue Nov 29, 2023 · 0 comments

huiliukeith-mineral commented

Hi,

I see this code in trian.py
model = DistributedDataParallel(model, device_ids=[args.local_rank], broadcast_buffers=False)

since queue is in buffer. Does it mean that each GPU will have its own buffer and update by itself? If so, should we sync the queue across GPUs?

Thanks!!

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