Fixing code format

Author: vfdev-5

test/test_prototype_transforms.py

@@ -689,7 +689,6 @@ def test__transform(self, kernel_size, sigma, mocker):
         else:
             assert transform.sigma == (sigma, sigma)
 
-
         fn = mocker.patch("torchvision.prototype.transforms.functional.gaussian_blur")
         inpt = features.Image(torch.rand(1, 3, 32, 32))
         # vfdev-5, Feature Request: let's store params as Transform attribute

test/test_prototype_transforms_functional.py

@@ -508,7 +508,7 @@ def center_crop_segmentation_mask():
 def gaussian_blur_image_tensor():
     for image, kernel_size, sigma in itertools.product(
         make_images(extra_dims=((4,),)),
-        [[3, 3], ],
+        [[3, 3]],
         [None, [3.0, 3.0]],
     ):
         yield SampleInput(image, kernel_size=kernel_size, sigma=sigma)

torchvision/prototype/transforms/_misc.py

@@ -2,8 +2,8 @@
 from typing import Any, List, Type, Callable, Dict, Sequence, Union
 
 import torch
-from torchvision.transforms.transforms import _setup_size
 from torchvision.prototype.transforms import Transform, functional as F
+from torchvision.transforms.transforms import _setup_size
 
 
 class Identity(Transform):