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[D] Named tensors in the new PyTorch version – what are the advantages compared to tsalib?

In the new PyTorch version, there is experimental support for named tensors, which looks like a big deal for example when vectorizing a pipeline or something of the sort. The idea has been floating in the community for a while, I think it will greatly help with axis bugs. What I am not sure is what advantages does it bring compared to, say tsalib?

https://pytorch.org/docs/stable/named_tensor.html

http://nlp.seas.harvard.edu/NamedTensor

https://github.com/ofnote/tsalib

submitted by /u/dev-ai
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.