fastNLP\core\dataloaders\torch_dataloader\fdl.py in init(self, dataset, batch_size, shuffle, sampler, batch_sampler, num_workers, collate_fn, pin_memory, drop_last, timeout, worker_init_fn, multiprocessing_context, generator, prefetch_factor, persistent_workers, **kwargs)
150 persistent_workers=persistent_workers)
...
--> 245 raise ValueError('prefetch_factor option could only be specified in multiprocessing.'
246 'let num_workers > 0 to enable multiprocessing, otherwise set prefetch_factor to None.')
247 elif num_workers > 0 and prefetch_factor is None:
ValueError: prefetch_factor option could only be specified in multiprocessing.let num_workers > 0 to enable multiprocessing, otherwise set prefetch_factor to None.
fastNLP\core\dataloaders\torch_dataloader\fdl.py in init(self, dataset, batch_size, shuffle, sampler, batch_sampler, num_workers, collate_fn, pin_memory, drop_last, timeout, worker_init_fn, multiprocessing_context, generator, prefetch_factor, persistent_workers, **kwargs)
150 persistent_workers=persistent_workers)
...
--> 245 raise ValueError('prefetch_factor option could only be specified in multiprocessing.'
246 'let num_workers > 0 to enable multiprocessing, otherwise set prefetch_factor to None.')
247 elif num_workers > 0 and prefetch_factor is None:
ValueError: prefetch_factor option could only be specified in multiprocessing.let num_workers > 0 to enable multiprocessing, otherwise set prefetch_factor to None.