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This repository has been archived by the owner on Feb 16, 2023. It is now read-only.
When iterating over a slice of a tensor, the new chunks aren't registered. So far, the only known problem with this is that printing large tensors raises an AttributeError, although there are likely other bugs that result that we just don't know about yet.
Code to reproduce: print(torch.FloatTensor(128,128)).
The text was updated successfully, but these errors were encountered:
Normally, when you do this in pure PyTorch, it will show you a condensed string representation of the tensor (with ellipses in between the first few and last few rows/columns). The code that constructs that string representation is what's breaking on our end.
When iterating over a slice of a tensor, the new chunks aren't registered. So far, the only known problem with this is that printing large tensors raises an AttributeError, although there are likely other bugs that result that we just don't know about yet.
Code to reproduce:
print(torch.FloatTensor(128,128))
.The text was updated successfully, but these errors were encountered: