lint

Author: AntoineSimoulin

test/test_cvcuda.py

@@ -175,15 +175,15 @@ class TestNVCVToTensor:
     )
     def test_functional_and_transform(self, num_channels, dtype, fn):
         input = make_nvcv_image(num_channels=num_channels, dtype=dtype)
-        
+
         # Delay function reference until test execution time
         if fn == "functional":
             fn_ref = F.nvcv_to_tensor
         else:  # fn == "transform"
             fn_ref = transform_cls_to_functional(
                 lambda: __import__("torchvision.transforms.v2", fromlist=["NVCVToTensor"]).NVCVToTensor
             )
-        
+
         output = fn_ref(input)
 
         assert isinstance(output, torch.Tensor)