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@ -20,7 +20,7 @@ def create_dataloader(dataset, dataset_opt, opt=None, sampler=None, collate_fn=N
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batch_size = dataset_opt['batch_size']
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return torch.utils.data.DataLoader(dataset, batch_size=batch_size, shuffle=shuffle,
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num_workers=num_workers, sampler=sampler, drop_last=True,
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pin_memory=pin_memory, collate_fn=collate_fn)
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pin_memory=pin_memory, collate_fn=collate_fn, persistent_workers=True)
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else:
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batch_size = dataset_opt['batch_size'] or 1
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return torch.utils.data.DataLoader(dataset, batch_size=batch_size, shuffle=False, num_workers=0,
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