Remove torchscript workaround for center_crop (#3118)

This has been fixed in PyTorch in https://github.com/pytorch/pytorch/pull/40897

torchvision/transforms/functional.py

@@ -463,14 +463,8 @@ def center_crop(img: Tensor, output_size: List[int]) -> Tensor:
     image_width, image_height = _get_image_size(img)
     crop_height, crop_width = output_size
 
-    # crop_top = int(round((image_height - crop_height) / 2.))
-    # Result can be different between python func and scripted func
-    # Temporary workaround:
-    crop_top = int((image_height - crop_height + 1) * 0.5)
-    # crop_left = int(round((image_width - crop_width) / 2.))
-    # Result can be different between python func and scripted func
-    # Temporary workaround:
-    crop_left = int((image_width - crop_width + 1) * 0.5)
+    crop_top = int(round((image_height - crop_height) / 2.))
+    crop_left = int(round((image_width - crop_width) / 2.))
     return crop(img, crop_top, crop_left, crop_height, crop_width)