Fix a test

Author: NicolasHug

test/test_transforms_v2.py

@@ -5529,9 +5529,10 @@ def test_errors(self):
         input_pure_tensor = input_tv_tensor.as_subclass(torch.Tensor)
         format, canvas_size = input_tv_tensor.format, input_tv_tensor.canvas_size
 
-        for format_, canvas_size_ in [(None, None), (format, None), (None, canvas_size)]:
+        for format_, canvas_size_, clamping_mode_ in itertools.product(
+            (format, None), (canvas_size, None), (input_tv_tensor.clamping_mode, None)):
             with pytest.raises(
-                ValueError, match="For pure tensor inputs, `format` and `canvas_size` have to be passed."
+                ValueError, match="For pure tensor inputs, `format`, `canvas_size` and `clamping_mode` have to be passed."
             ):
                 F.clamp_bounding_boxes(input_pure_tensor, format=format_, canvas_size=canvas_size_)
 

torchvision/transforms/v2/functional/_meta.py

@@ -551,7 +551,6 @@ def clamp_bounding_boxes(
 
     if torch.jit.is_scripting() or is_pure_tensor(inpt):
 
-        # TODOBB
         if format is None or canvas_size is None or clamping_mode is None:
             raise ValueError("For pure tensor inputs, `format`, `canvas_size` and `clamping_mode` have to be passed.")
         if tv_tensors.is_rotated_bounding_format(format):