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mmpretrain.models.selfsup.densecl — MMPretrain 1.0.0rc7 …
WebJun 7, 2024 · When we apply dist.all_gather () operation, suppose the there are 4 gpus, and each gpu will get the value of others, and when we apply the result of all_gather with ground truth to calculate loss, does loss can backward? or the dist.all_gather operation will break the graph like the operation of detach ()? Webits moral duty to care for and nurture its young genius: One in a million. But don’t let all the wins and competitive stuff confuse you, Gary has earned himself the title as the “nicest … terry evanshen today
ngp_pl/train.py at master · kwea123/ngp_pl · GitHub
WebNov 19, 2024 · When using the DDP backend, there's a separate process running for every GPU. They don't have access to each other's data, but there are a few special operations ( reduce, all_reduce, gather, all_gather) that make the processes synchronize. WebAug 30, 2024 · A single tensor is broadcast from a process when using all_gather. A list of tensors is broadcast from a process when using all_gather_multigpu. not sure about that. … WebHow FSDP works¶. In DistributedDataParallel, (DDP) training, each process/ worker owns a replica of the model and processes a batch of data, finally it uses all-reduce to sum up gradients over different workers.In DDP the model weights and optimizer states are replicated across all workers. FSDP is a type of data parallelism that shards model … terry evans obituary