latence-solver
latence-solver is the Tabu Search Quadratic Knapsack solver used by voyager-index
for both local refinement and the canonical OSS /reference/optimize contract.
The default build is CPU fallback (deterministic Rust). Optional Cargo features enable
experimental CUDA (NVIDIA) and wgpu hooks; when unavailable or disabled, the solver
falls back to the CPU backend. Python builds expose cuda_available() / gpu_available()
and backend_status() for runtime reporting.
Build locally (Python extension) with:
python -m pip install ./src/kernels/knapsack_solver
This repo currently ships the solver through local source install rather than a separate PyPI release.
CUDA-enabled wheels require building with --features cuda (see Cargo.toml) and a suitable
CUDA toolkit/runtime on the build machine.
1 maintainer
Metadata
1 maintainer
Release files for latence-solver 0.1.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| latence_solver-0.1.6.tar.gz | 84.8 kB | Details |
Built distributions (wheels)
Total release size: 4.7 MB
Release files / latence_solver-0.1.6.tar.gz
| Download URL | latence_solver-0.1.6.tar.gz |
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| Size | 84.8 kB |
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