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tntorch: Tensor Network Learning with PyTorch. (arXiv:2206.11128v1 [cs.LG])
June 23, 2022, 1:11 a.m. | Mikhail Usvyatsov, Rafael Ballester-Ripoll, Konrad Schindler
cs.LG updates on arXiv.org arxiv.org
We present tntorch, a tensor learning framework that supports multiple
decompositions (including Candecomp/Parafac, Tucker, and Tensor Train) under a
unified interface. With our library, the user can learn and handle low-rank
tensors with automatic differentiation, seamless GPU support, and the
convenience of PyTorch's API. Besides decomposition algorithms, tntorch
implements differentiable tensor algebra, rank truncation, cross-approximation,
batch processing, comprehensive tensor arithmetics, and more.
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