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A python library for contracting tensor networks or einsum expressions involving large numbers of tensors. Some of the key feautures of cotengra include: * drop-in einsum replacement * an explicit contraction tree object that can be flexibly built, modified and visualized * a 'hyper optimizer' that samples trees while tuning the generating meta-paremeters * dynamic slicing for massive memory savings and parallelism * support for hyper edge tensor networks and thus arbitrary einsum equations * paths that can be supplied to numpy.einsum, opt_einsum, quimb among others * performing contractions with tensors from many libraries via cotengra, even if they don't provide einsum or tensordot but do have (batch) matrix multiplication
| Package | Summary | Distribution | Download |
| python312-cotengra-0.6.2-1.4.noarch.html | Hyper optimized contraction trees for large tensor networks and einsums | OpenSuSE Tumbleweed for noarch | python312-cotengra-0.6.2-1.4.noarch.rpm |
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