Fixed some lint issues with CircleCI and added type hints in functional_pil.py as well.

Author: CristianManta

test/test_functional_tensor.py

@@ -172,7 +172,6 @@ def test_adjustments(self):
                     f_img_pil = f(img_pil, factor)
                     f_img = transforms.ToTensor()(f_img_pil)
 
-
                 # F uses uint8 and F_t uses float, so there is a small
                 # difference in values caused by (at most 5) truncations.
                 max_diff = (ft_img - f_img).abs().max()

torchvision/transforms/functional_pil.py

@@ -118,7 +118,7 @@ def adjust_saturation(img, saturation_factor):
 
 
 @torch.jit.unused
-def adjust_hue(img, hue_factor):
+def adjust_hue(img: Tensor, hue_factor: float) -> Tensor:
     """Adjust hue of an image.
 
     The image hue is adjusted by converting the image to HSV and

torchvision/transforms/functional_tensor.py

@@ -128,6 +128,7 @@ def adjust_contrast(img: Tensor, contrast_factor: float) -> Tensor:
 
     return _blend(img, mean, contrast_factor)
 
+
 def adjust_hue(img: Tensor, hue_factor: float) -> Tensor:
     """Adjust hue of an image.