in quant/data/data_loaders.py [0:0]
def get_test_loader(self) -> DataLoader:
"""Get a PyTorch data loader for the test set."""
transform_test = transforms.Compose(
[transforms.ToTensor(), transforms.Normalize(self.mean_val, self.std_val)]
)
dataset_test = datasets.CIFAR100(
root=self.dataset_path,
train=False,
download=self.download,
transform=transform_test,
)
test_loader = torch.utils.data.DataLoader(
dataset_test,
batch_size=self.test_batch_size,
shuffle=False,
sampler=self.test_sampler,
num_workers=self.workers,
pin_memory=True,
)
return test_loader