import torch
from utils.dataset import get_dataset

batch_size = 10

kwargs = {'batch_size': batch_size, 'shuffle': True, 'num_workers': 2, 'pin_memory': True}

def get_dataloader():
    test_data = get_dataset()
    test_loader = torch.utils.data.DataLoader(test_data, **kwargs)
    # train_loader = torch.utils.data.DataLoader(train_data, **kwargs)

    return test_loader