multi-processing

pytorch Distributed DataParallel 설명 (multi-gpu 하는 법)

from torch.utils.data.distributed import DistributedSampler train_dataset = datasets.ImageFolder(traindir, ...) train_sampler = DistributedSampler(train_dataset) train_loader = torch.utils.data.DataLoader( train_dataset, batch_size=args.batch_size, shuffle=False, num_workers=args.workers, pin_memory=True, sampler=train_sampler) pytorch에서 모델을 학습시킬 때 multi-gpu를 사용하려면 DataParallel이나 DistributedData..