lint + doc

torchvision/transforms/v2/_misc.py

@@ -206,10 +206,12 @@ def _transform(self, inpt: Any, params: Dict[str, Any]) -> Any:
 
 
 class GaussianNoise(Transform):
-    """Add gaussian noise to the image.
+    """Add gaussian noise to images or videos.
 
     The input tensor is expected to be in [..., 1 or 3, H, W] format,
     where ... means it can have an arbitrary number of leading dimensions.
+    Each image or frame in a batch will be transformed independently i.e. the
+    noise added to each image will be different.
 
     The input tensor is also expected to be of float dtype in ``[0, 1]``.
     This transform does not support PIL images.

torchvision/transforms/v2/functional/_misc.py

@@ -6,7 +6,6 @@
 from torch.nn.functional import conv2d, pad as torch_pad
 
 from torchvision import tv_tensors
-from torchvision.transforms import _functional_pil as _FP
 from torchvision.transforms._functional_tensor import _max_value
 from torchvision.transforms.functional import pil_to_tensor, to_pil_image