cotengra is a python library for contracting tensor networks or einsum
expressions involving large numbers of tensors - the main docs can be found
at cotengra.readthedocs.io.
Some of the key feautures of cotengra include:
- drop-in
einsumandnconreplacement - 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
- simulated annealing as an alternative optimizing and slicing strategy
- support for hyper edge tensor networks and thus arbitrary einsum equations
- paths that can be supplied to
numpy.einsum,opt_einsum,quimbamong others - performing contractions with tensors from many libraries via
autoray, even if they don't provideeinsumortensordotbut do have (batch) matrix multiplication
1 maintainer
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Release files for cotengra 0.8.3
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| File | Size | Uploaded | Provenance | |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cotengra-0.8.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.8 MB
Release files / cotengra-0.8.3.tar.gz
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