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A unified PyTorch-native library for subquadratic alternatives to quadratic attention methods with optimized CUDA kernels.
pip install nvsubquadratic
PyPI declares 17 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<2.11.0,>=2.10.0<0.26.0,>=0.25.0>=0.6.0>=1.21.0<20.0.0,>=14.0.0>=2.14.0>=2.0.0>=2.3.0>=0.15.0>=13.0.0The compact report shows 12 of 17 declarations. The interactive dependency graph loads the complete metadata.
nvsubquadratic publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12.
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 .