def get_test_loader()

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.CIFAR10(
            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