Implementation is incomplete, and I don’t think anyone works on it
It is oddly non-polymorphic, i.e. lots of operations are just blocked when names are present. Not only ops with dim=int arguments, but also things like unsqueeze(). If these could re-synchronize names instead, it would be much easier to include code with named tensors into existing codebases.
Related to above, they’re not compatible with many standard routines (first of all, stuff from nn namespace). For example, while F.linear/mm works, convolutions or rnns fail.
Most of ML code doesn’t require dimension permutations, I guess people working with BCHW tensors don’t care about dimension names that much.