downgrade warnign for F.rotate with center and expand=True

test/test_transforms_v2_refactored.py

@@ -1375,7 +1375,6 @@ def test_transform_noop(self, make_input, device):
         assert_equal(output, input)
 
 
-@pytest.mark.filterwarnings("ignore:The provided center argument has no effect")
 class TestRotate:
     _EXHAUSTIVE_TYPE_AFFINE_KWARGS = dict(
         # float, int

torchvision/transforms/v2/_geometry.py

@@ -593,6 +593,11 @@ class RandomRotation(Transform):
             Note that the expand flag assumes rotation around the center and no translation.
         center (sequence, optional): Optional center of rotation, (x, y). Origin is the upper left corner.
             Default is the center of the image.
+
+            ..note::
+
+              In theory, ``center`` has no effect together with ``expand=True``. In practice however, this can lead to
+              off-by-one differences of the resulting image size compared to ``center=None``.
         fill (number or tuple or dict, optional): Pixel fill value used when the  ``padding_mode`` is constant.
             Default is 0. If a tuple of length 3, it is used to fill R, G, B channels respectively.
             Fill value can be also a dictionary mapping data type to the fill value, e.g.

torchvision/transforms/v2/functional/_geometry.py

@@ -977,9 +977,6 @@ def rotate_image(
 
     center_f = [0.0, 0.0]
     if center is not None:
-        if expand:
-            # TODO: Do we actually want to warn, or just document this?
-            warnings.warn("The provided center argument has no effect on the result if expand is True")
         # Center values should be in pixel coordinates but translated such that (0, 0) corresponds to image center.
         center_f = [(c - s * 0.5) for c, s in zip(center, [width, height])]
 
@@ -1017,9 +1014,6 @@ def _rotate_image_pil(
 ) -> PIL.Image.Image:
     interpolation = _check_interpolation(interpolation)
 
-    if center is not None and expand:
-        warnings.warn("The provided center argument has no effect on the result if expand is True")
-
     return _FP.rotate(
         image, angle, interpolation=pil_modes_mapping[interpolation], expand=expand, fill=fill, center=center
     )
@@ -1033,9 +1027,6 @@ def rotate_bounding_boxes(
     expand: bool = False,
     center: Optional[List[float]] = None,
 ) -> Tuple[torch.Tensor, Tuple[int, int]]:
-    if center is not None and expand:
-        warnings.warn("The provided center argument has no effect on the result if expand is True")
-
     return _affine_bounding_boxes_with_expand(
         bounding_boxes,
         format=format,