Datablock for multiple inputs

[Archaeologist (Jürgen Landauer)]

I guess you just need a TransformBlock that loads a torch floatTensor. Does this discussion help?

Loading Torch Tensors into the DataBlock API

There’s likely a better way to do this but here’s the implementation I came up with to load some dummy tensors. from fastai.vision.all import * def get_mask(fname, masklabel, tensorlabel): path_pieces = fname.parts new_path = [] for i in range(len(path_pieces)): if path_pieces[i] == tensorlabel: new_path.append(masklabel) continue new_path.append(path_pieces[i]) mask_path = os.sep.join(new_path) return Path(mask_path) def MaskGette…