[fbsync] Update docstring of Resize with shape constraint (#7480)

Summary: Co-authored-by: Philip Meier <github.pmeier@posteo.de>

Reviewed By: vmoens

Differential Revision: D45183667

fbshipit-source-id: 6b50f267d813f72ef26604f7b7d8530a3b6a39bf

torchvision/transforms/transforms.py

@@ -283,7 +283,7 @@ def __repr__(self) -> str:
 class Resize(torch.nn.Module):
     """Resize the input image to the given size.
     If the image is torch Tensor, it is expected
-    to have [..., H, W] shape, where ... means an arbitrary number of leading dimensions
+    to have [..., H, W] shape, where ... means a maximum of two leading dimensions
 
     .. warning::
         The output image might be different depending on its type: when downsampling, the interpolation of PIL images