Add transforms to dataloader test

tests/test_dataloaders.py

@@ -7,6 +7,7 @@ def test_uspsdataset0_6():
 
     import h5py
     import numpy as np
+    from torchvision import transforms
 
     # Create a temporary directory (deleted after the test)
     with TemporaryDirectory() as tempdir:
@@ -20,7 +21,13 @@ def test_uspsdataset0_6():
             f["train/data"] = np.random.rand(10, 16 * 16)
             f["train/target"] = np.array([6, 5, 4, 3, 2, 1, 0, 0, 0, 0])
 
-        dataset = USPSDataset0_6(data_path=tempdir, train=True)
+        trans = transforms.Compose(
+            [
+                transforms.Resize((16, 16)),  # At least for USPS
+                transforms.ToTensor(),
+            ]
+        )
+        dataset = USPSDataset0_6(data_path=tempdir, train=True, transform=trans)
         assert len(dataset) == 10
         data, target = dataset[0]
         assert data.shape == (1, 16, 16)