Fix issue 7911 (#7978)

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

torchvision/transforms/functional.py

@@ -1326,7 +1326,7 @@ def erase(img: Tensor, i: int, j: int, h: int, w: int, v: Tensor, inplace: bool
 def gaussian_blur(img: Tensor, kernel_size: List[int], sigma: Optional[List[float]] = None) -> Tensor:
     """Performs Gaussian blurring on the image by given kernel.
     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 at most one leading dimension.
 
     Args:
         img (PIL Image or Tensor): Image to be blurred

torchvision/transforms/transforms.py

@@ -1760,7 +1760,7 @@ class RandomErasing(torch.nn.Module):
 class GaussianBlur(torch.nn.Module):
     """Blurs image with randomly chosen Gaussian blur.
     If the image is torch Tensor, it is expected
-    to have [..., C, H, W] shape, where ... means an arbitrary number of leading dimensions.
+    to have [..., C, H, W] shape, where ... means at most one leading dimension.
 
     Args:
         kernel_size (int or sequence): Size of the Gaussian kernel.