Warning on torch transforms with semantics

[beniz]

Setting up a new session...
create web directory /data1/beniz/models/gan_checkpoints/face_masks_cut_3/web...
/usr/local/lib/python3.6/dist-packages/torchvision/transforms/functional.py:365: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.
  "Argument interpolation should be of type InterpolationMode instead of int. "
/usr/local/lib/python3.6/dist-packages/torchvision/transforms/functional.py:365: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.
  "Argument interpolation should be of type InterpolationMode instead of int. "
/usr/local/lib/python3.6/dist-packages/torchvision/transforms/functional.py:365: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.
  "Argument interpolation should be of type InterpolationMode instead of int. "
/usr/local/lib/python3.6/dist-packages/torchvision/transforms/functional.py:365: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.
  "Argument interpolation should be of type InterpolationMode instead of int. "

I believe we should fix this so that we are certain the interpolation method is the right one, especially when resizing masks with nearest neighbors.

[pnsuau]

fix : #31