
NN module forward passes have code that don't support named tensors
  and will error out appropriately.

We also do not support the following subsystems, though some may work
out of the box:


distributions


serialization ("torch.load()", "torch.save()")


multiprocessing


JIT


distributed


ONNX


If any of these would help your use case, please search if an issue
has already been filed and if not, file one.
Named tensor API reference
In this section please find the documentation for named tensor
specific APIs. For a comprehensive reference for how names are
propagated through other PyTorch operators, see Named Tensors operator
coverage.
class torch.Tensor
names
  Stores names for each of this tensor's dimensions.

  "names[idx]" corresponds to the name of tensor dimension "idx".
  Names are either a string if the dimension is named or "None" if
  the dimension is unnamed.

  Dimension names may contain characters or underscore.
