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A workaround I stumbled upon is first logging a 2xN tensor to the same entity path and then overwriting it with the original 1xN tensor, which makes the 1xN tensor show up in the viewer:
rr.log('1x10', rr.Tensor(torch.zeros(2, 10)) # dummy 2xNrr.log('1x10', rr.Tensor(torch.zeros(1, 10)) # original
The text was updated successfully, but these errors were encountered:
Describe the bug
Logged 1xN tensors don't seem to be visualizable (potentially related to #3709?)
Screenshots
Rerun version
Additional context
A workaround I stumbled upon is first logging a 2xN tensor to the same entity path and then overwriting it with the original 1xN tensor, which makes the 1xN tensor show up in the viewer:
The text was updated successfully, but these errors were encountered: