Fixed links

Author: vfdev-5

test/test_transforms_tensor.py

@@ -732,8 +732,7 @@ def test_autoaugment_save(augmentation, tmpdir):
 def test_autoaugment__op_apply_shear(interpolation, mode):
     # We check that torchvision's implementation of shear is equivalent
     # to official CIFAR10 autoaugment implementation:
-    # https://github.com/tensorflow/models/blob/885fda091c46c59d6c7bb5c7e760935eacc229da/
-    # research/autoaugment/augmentation_transforms.py#L273-L290
+    # https://github.com/tensorflow/models/blob/885fda091c46c59d6c7bb5c7e760935eacc229da/research/autoaugment/augmentation_transforms.py#L273-L290
     image_size = 32
 
     def shear(pil_img, level, mode, resample):

torchvision/transforms/autoaugment.py

@@ -16,12 +16,10 @@ def _apply_op(
     if op_name == "ShearX":
         # magnitude should be arctan(magnitude)
         # official autoaug: (1, level, 0, 0, 1, 0)
-        # https://github.com/tensorflow/models/blob/dd02069717128186b88afa8d857ce57d17957f03/
-        # research/autoaugment/augmentation_transforms.py#L290
+        # https://github.com/tensorflow/models/blob/dd02069717128186b88afa8d857ce57d17957f03/research/autoaugment/augmentation_transforms.py#L290
         # compared to
         # torchvision:      (1, tan(level), 0, 0, 1, 0)
-        # https://github.com/pytorch/vision/blob/0c2373d0bba3499e95776e7936e207d8a1676e65/
-        # torchvision/transforms/functional.py#L976
+        # https://github.com/pytorch/vision/blob/0c2373d0bba3499e95776e7936e207d8a1676e65/torchvision/transforms/functional.py#L976
         img = F.affine(
             img,
             angle=0.0,