NumSharp.Interop.OpenBLAS
0.81.0
dotnet add package NumSharp.Interop.OpenBLAS --version 0.81.0
NuGet\Install-Package NumSharp.Interop.OpenBLAS -Version 0.81.0
<PackageReference Include="NumSharp.Interop.OpenBLAS" Version="0.81.0" />
<PackageVersion Include="NumSharp.Interop.OpenBLAS" Version="0.81.0" />
<PackageReference Include="NumSharp.Interop.OpenBLAS" />
paket add NumSharp.Interop.OpenBLAS --version 0.81.0
#r "nuget: NumSharp.Interop.OpenBLAS, 0.81.0"
#:package NumSharp.Interop.OpenBLAS@0.81.0
#addin nuget:?package=NumSharp.Interop.OpenBLAS&version=0.81.0
#tool nuget:?package=NumSharp.Interop.OpenBLAS&version=0.81.0
Optional external-CBLAS matrix-product backend for NumSharp. Reference the package and np.dot / np.matmul compute float32/float64 products through OpenBLAS instead of NumSharp's managed SIMD GEMM — faster on large matrices, and BIT-IDENTICAL to NumPy, via a route-for-route port of NumPy's two matrix-product dispatchers. Ships the prebuilt OpenBLAS binaries NumPy itself bundles (scipy-openblas 0.3.34.106.0, the version numpy 2.5.4 pins) as per-RID runtime assets, so the same binary is loaded on Windows, Linux and macOS with no Python installed; a locally discovered or explicitly named CBLAS still takes precedence. NumSharp.Core itself stays 100% managed C# with no native dependency: with this package absent, every kernel is NumSharp's own.
| Product | Versions Compatible and additional computed target framework versions. |
|---|---|
| .NET | net8.0 is compatible. net8.0-android was computed. net8.0-browser was computed. net8.0-ios was computed. net8.0-maccatalyst was computed. net8.0-macos was computed. net8.0-tvos was computed. net8.0-windows was computed. net9.0 was computed. net9.0-android was computed. net9.0-browser was computed. net9.0-ios was computed. net9.0-maccatalyst was computed. net9.0-macos was computed. net9.0-tvos was computed. net9.0-windows was computed. net10.0 is compatible. net10.0-android was computed. net10.0-browser was computed. net10.0-ios was computed. net10.0-maccatalyst was computed. net10.0-macos was computed. net10.0-tvos was computed. net10.0-windows was computed. |
NuGet packages (1)
Showing the top 1 NuGet packages that depend on NumSharp.Interop.OpenBLAS:
| Package | Downloads |
|---|---|
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OptunaSharp
OptunaSharp is a .NET port of Optuna 5.x, the define-by-run hyperparameter optimization framework, for C# and F#, built on NumSharp. It brings Optuna's study and trial API with its samplers (TPE, CMA-ES, GP, QMC, NSGA-II, NSGA-III, Grid, Random, BruteForce and more), pruners, distributions, in-memory and journal storages, parameter importance, terminators and the visualization data layer. Names, defaults and error messages follow Optuna, and the test suite checks seeded runs against live Python Optuna. Database storages, plotting, ML integrations, the CLI and the Python bridges ship as separate OptunaSharp.* packages. Part of the SciSharp STACK. |
GitHub repositories
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