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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
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