utils/common.py [106:113]:
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            if args.ddp:
                ood_sampler = torch.utils.data.distributed.DistributedSampler(ood_set)
            else:
                ood_sampler = None
            ood_loader = DataLoader(ood_set, batch_size=train_batch_size, shuffle=not args.ddp, num_workers=num_workers,
                                        drop_last=True, pin_memory=True, sampler=ood_sampler)
            ood_num = len(ood_set)
            print('Training on %s with %d images and %d validation images | %d OOD training images.' % (args.dataset, len(train_set), len(test_set), len(ood_set)))
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utils/common.py [128:135]:
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            if args.ddp:
                ood_sampler = torch.utils.data.distributed.DistributedSampler(ood_set)
            else:
                ood_sampler = None
            ood_loader = DataLoader(ood_set, batch_size=train_batch_size, shuffle=not args.ddp, num_workers=num_workers,
                                        drop_last=True, pin_memory=True, sampler=ood_sampler)
            ood_num = len(ood_set)
            print('Training on %s with %d images and %d validation images | %d OOD training images.' % (args.dataset, len(train_set), len(test_set), len(ood_set)))
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