in quant/data/data_loaders.py [0:0]
def get_train_loader(self) -> DataLoader:
"""Get a PyTorch data loader for the training set."""
train_loader = torch.utils.data.DataLoader(
datasets.MNIST(
self.dataset_path,
train=True,
download=self.download,
transform=self.transform_fn,
),
batch_size=self.train_batch_size,
shuffle=True,
)
return train_loader