Factual package intelligence from PyPI
Memory-efficient optimum einsum using opt_einsum planning and PyTorch kernels.
pip install opt-einsum-torch
PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.
opt-einsum-torch publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.
Declared Python classifiers: 3.6.
PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .