Use `torch.nested.nested_tensor` when it's not a prototype anymore

[vict0rsch]

https://pytorch.org/docs/stable/nested.html#module-torch.nested

[vict0rsch]

>>> a
tensor([0, 1, 2])
>>> b
tensor([3, 4, 5, 6, 7])
>>> nt = torch.nested.nested_tensor([a, b])
>>> nt
nested_tensor([
  tensor([0, 1, 2]),
  tensor([3, 4, 5, 6, 7])
])

[josephdviviano]

Oh nice -- this is for storing trajectories of different lengths (for e.g.)?

[vict0rsch]

Yes!