Remove functional v1

Author: NicolasHug

torchvision/transforms/functional.py

@@ -1506,25 +1506,6 @@ def equalize(img: Tensor) -> Tensor:
     return F_t.equalize(img)
 
 
-def gaussian_noise(img: Tensor, mean: float = 0.0, var: float = 1.0) -> Tensor:
-    """Add gaussian noise to the image. Samples from `N(0, 1)` (standard normal distribution) by default.
-
-    Args:
-        img (PIL Image or Tensor): Image on which equalize is applied.
-        mean (float): Mean of the sampled gaussian distribution. Default is 0.
-        var (float): Variance of the sampled gaussian distribution. Default is 1.
-
-    Returns:
-        PIL Image or Tensor: An image that was equalized.
-    """
-    if not torch.jit.is_scripting() and not torch.jit.is_tracing():
-        _log_api_usage_once(gaussian_noise)
-    if not isinstance(img, torch.Tensor):
-        F_pil.gaussian_noise(img, mean, var)
-
-    return F_t.gaussian_noise(img, mean, var)
-
-
 def elastic_transform(
     img: Tensor,
     displacement: Tensor,