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Drop-in throughput and memory optimisations for FAIR Hiera. 0.2: graph-safe MAE for torch.compile(reduce-overhead) — 2.37x on Hiera-Base GH200 over eager.
pip install hiera-optim
PyPI declares 11 unique dependency rules for this release. Environment markers are shown when supplied by the project.
hiera-optim publishes 1 wheel and 1 source archive for version 0.2.1. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12.
An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.
PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .