Unclear class parameters description in torchvision.transforms

📚 Documentation

https://pytorch.org/docs/stable/torchvision/transforms.html#transforms-on-pil-image

For many of the Transforms on PIL Image classes in torchvision.transforms, there are optional 'interpolation' and 'resample' class parameters that use a mysterious int input.
Ex: torchvision.transforms.Resize
I believe the below is the mapping of int values to image interpolations for torchvision.transforms.Resize, which I found in the PIL.Image.Resize documentation.
NEAREST = NONE = 0
LANCZOS = ANTIALIAS = 1
BILINEAR = LINEAR = 2
BICUBIC = CUBIC = 3
BOX = 4
HAMMING = 5

I think the torchvision.transforms docs should explicitly list the mapping of interpolation/resample filter types for better clarity. I had to look through PIL.Image.resize() source code to find the mapping for the 'interpolation' parameter in torchvision.transforms.Resize, which is harder than it needs be.

Start with the torchvision.transforms documentation linked in the issue, focusing on the Resize class and its interpolation or resample parameters. Confirm the integer-to-filter mapping against the referenced PIL.Image.resize behavior, then document the supported values so the page clearly explains each filter.