RecursiveAI.OneGpu.Kernels 1.0.0

Prefix Reserved
.NET 10.0 This package targets .NET 10.0. The package is compatible with this framework or higher. 
dotnet add package RecursiveAI.OneGpu.Kernels --version 1.0.0
                    


                    

                
NuGet\Install-Package RecursiveAI.OneGpu.Kernels -Version 1.0.0
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="RecursiveAI.OneGpu.Kernels" Version="1.0.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="RecursiveAI.OneGpu.Kernels" Version="1.0.0" />
                    


                            Directory.Packages.props
                        

                    

                
<PackageReference Include="RecursiveAI.OneGpu.Kernels" />
                    


                            Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package. 
paket add RecursiveAI.OneGpu.Kernels --version 1.0.0
                    


                    

                
#r "nuget: RecursiveAI.OneGpu.Kernels, 1.0.0"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
#:package RecursiveAI.OneGpu.Kernels@1.0.0
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package. 
#addin nuget:?package=RecursiveAI.OneGpu.Kernels&version=1.0.0
                    


                            Install as a Cake Addin
                        

                    

                
#tool nuget:?package=RecursiveAI.OneGpu.Kernels&version=1.0.0
                    


                            Install as a Cake Tool

RecursiveAI.OneGpu.Kernels

HLSL compute kernels for machine-learning inference on Vulkan, Metal and WebGPU: GEMM, attention, convolution and more.

Compute kernels written in HLSL and compiled at build time by RecursiveAI.OneShader.Build for Vulkan (SPIR-V), Metal and WebGPU. A family class (Gemm, AttentionKernels, ConvKernels, ReduceKernels, SoftmaxKernels, NormKernels, ElementwiseKernels, GatherKernels, RecurrentKernels, Int8Gemm and others) is created once from a GpuDevice and records passes into your command encoder. It chooses its variant from the device's capabilities (cooperative matrices, subgroup sizes, float16) and keeps a portable fallback. GpuKernelMode.Deterministic gives bit-repeatable GEMM, reductions, softmax and attention on one GPU and driver.

Shapes, strides and offsets are checked in safe code first; a bad one throws GpuKernelShapeException naming the operation and argument.

using var gemm = new Gemm(device, GemmElementType.F32);
gemm.Encode(encoder, new GemmProblem(m, n, k), a, b, c);

Operations, tolerances and determinism rules per family are in the repository's docs/.

Part of onegpu. MIT OR Apache-2.0, © Recursive AI, LLC.

Product Compatible and additional computed target framework versions.
.NET 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. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages

This package is not used by any NuGet packages.

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Version Downloads Last Updated
1.0.0 0 11/12/2026