Update functional.py

gaussian blur doc - mention padding policy

torchvision/transforms/functional.py

@@ -1301,7 +1301,7 @@ 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.
+    """Performs Gaussian blurring on the image by given kernel, using reflection padding corresponding to the kernel size, to maintain the input shape. 
     If the image is torch Tensor, it is expected
     to have [..., H, W] shape, where ... means at most one leading dimension.