Hi,
I’m new to PyTorch and was wondering how I should shuffle my training dataset. I’ve seen some examples that use a RandomSampler, as follows:
train_data = TensorDataset(train_inputs, train_masks, train_labels)
train_sampler = RandomSampler(train_data)
train_dataloader = DataLoader(train_data, sampler=train_sampler, batch_size=batch_size)

What if I did not use a sampler at all and instead set the shuffle parameter to True, as follows:
train_data = TensorDataset(train_inputs, train_masks, train_labels)
train_dataloader = DataLoader(train_data, shuffle=True, batch_size=batch_size)

Is this the same thing?
Also, using a SequentialSampler or setting shuffle parameter to False, are they the same thing?
Thanks