AttributeError: 'DistributedSampler' object has no attribute 'num_samples'

[MRK4863]

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AttributeError Traceback (most recent call last)

in 1 # define data loaders ----> 2 train_lb_loader = get_data_loader(config, lb_dataset, config.batch_size) 3 train_ulb_loader = get_data_loader(config, ulb_dataset, int(config.batch_size * config.uratio)) 4 eval_loader = get_data_loader(config, eval_dataset, config.eval_batch_size)

1 frames

/content/drive/MyDrive/RUPESH_RESEARCH_IMPLEMENTATIONS/Semi-supervised-learning/semilearn/datasets/utils.py in get_data_loader(args, dset, batch_size, shuffle, num_workers, pin_memory, data_sampler, num_epochs, num_iters, generator, drop_last, distributed) 161 num_samples = per_epoch_steps * batch_size * num_replicas 162 # print(num_samples) --> 163 return DataLoader(dset, batch_size=batch_size, shuffle=False, num_workers=num_workers, collate_fn=collact_fn,pin_memory=pin_memory, sampler=data_sampler(dset, num_replicas=num_replicas, rank=rank, num_samples=num_samples), 164 generator=generator, drop_last=drop_last) 165

/content/drive/MyDrive/RUPESH_RESEARCH_IMPLEMENTATIONS/Semi-supervised-learning/semilearn/datasets/samplers/sampler.py in init(self, dataset, num_replicas, rank, num_samples) 29 def init(self, dataset, num_replicas=None, rank=None, num_samples=None): 30 if not isinstance(num_samples, int) or num_samples <= 0: ---> 31 raise ValueError("num_samples should be a positive integeral value, but got num_samples={}".format(self.num_samples)) 32 33 if num_replicas is None:

AttributeError: 'DistributedSampler' object has no attribute 'num_samples'

Any suggestions on how to solve this issue?