System.Numerics.Tensors
10.0.0-preview.5.25280.105
.NET 8.0
This package targets .NET 8.0. The package is compatible with this framework or higher.
.NET Standard 2.0
This package targets .NET Standard 2.0. The package is compatible with this framework or higher.
.NET Framework 4.6.2
This package targets .NET Framework 4.6.2. The package is compatible with this framework or higher.
This is a prerelease version of System.Numerics.Tensors.
dotnet add package System.Numerics.Tensors --version 10.0.0-preview.5.25280.105
NuGet\Install-Package System.Numerics.Tensors -Version 10.0.0-preview.5.25280.105
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="System.Numerics.Tensors" Version="10.0.0-preview.5.25280.105" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="System.Numerics.Tensors" Version="10.0.0-preview.5.25280.105" />
<PackageReference Include="System.Numerics.Tensors" />
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 System.Numerics.Tensors --version 10.0.0-preview.5.25280.105
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: System.Numerics.Tensors, 10.0.0-preview.5.25280.105"
#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.
#addin nuget:?package=System.Numerics.Tensors&version=10.0.0-preview.5.25280.105&prerelease
#tool nuget:?package=System.Numerics.Tensors&version=10.0.0-preview.5.25280.105&prerelease
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
About
Provides methods for performing mathematical operations over tensors represented as spans. These methods are accelerated to use SIMD (Single instruction, multiple data) operations supported by the CPU where available.
Key Features
- Numerical operations on tensors represented as
ReadOnlySpan<float>
- Element-wise arithmetic: Add, Subtract, Multiply, Divide, Exp, Log, Cosh, Tanh, etc.
- Tensor arithmetic: CosineSimilarity, Distance, Dot, Normalize, Softmax, Sigmoid, etc.
How to Use
using System.Numerics.Tensors;
var movies = new[] {
new { Title="The Lion King", Embedding= new [] { 0.10022575f, -0.23998135f } },
new { Title="Inception", Embedding= new [] { 0.10327095f, 0.2563685f } },
new { Title="Toy Story", Embedding= new [] { 0.095857024f, -0.201278f } },
new { Title="Pulp Function", Embedding= new [] { 0.106827796f, 0.21676421f } },
new { Title="Shrek", Embedding= new [] { 0.09568083f, -0.21177962f } }
};
var queryEmbedding = new[] { 0.12217915f, -0.034832448f };
var top3MoviesTensorPrimitives =
movies
.Select(movie =>
(
movie.Title,
Similarity: TensorPrimitives.CosineSimilarity(queryEmbedding, movie.Embedding)
))
.OrderByDescending(movies => movies.Similarity)
.Take(3);
foreach (var movie in top3MoviesTensorPrimitives)
{
Console.WriteLine(movie);
}
Main Types
The main types provided by this library are:
System.Numerics.Tensors.TensorPrimitives
Additional Documentation
Feedback & Contributing
System.Numerics.Tensors is released as open source under the MIT license. Bug reports and contributions are welcome at the GitHub repository.
Product | Versions Compatible and additional computed target framework versions. |
---|---|
.NET | net5.0 was computed. net5.0-windows was computed. net6.0 was computed. net6.0-android was computed. net6.0-ios was computed. net6.0-maccatalyst was computed. net6.0-macos was computed. net6.0-tvos was computed. net6.0-windows was computed. net7.0 was computed. net7.0-android was computed. net7.0-ios was computed. net7.0-maccatalyst was computed. net7.0-macos was computed. net7.0-tvos was computed. net7.0-windows was computed. 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 is compatible. 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. |
.NET Core | netcoreapp2.0 was computed. netcoreapp2.1 was computed. netcoreapp2.2 was computed. netcoreapp3.0 was computed. netcoreapp3.1 was computed. |
.NET Standard | netstandard2.0 is compatible. netstandard2.1 was computed. |
.NET Framework | net461 was computed. net462 is compatible. net463 was computed. net47 was computed. net471 was computed. net472 was computed. net48 was computed. net481 was computed. |
MonoAndroid | monoandroid was computed. |
MonoMac | monomac was computed. |
MonoTouch | monotouch was computed. |
Tizen | tizen40 was computed. tizen60 was computed. |
Xamarin.iOS | xamarinios was computed. |
Xamarin.Mac | xamarinmac was computed. |
Xamarin.TVOS | xamarintvos was computed. |
Xamarin.WatchOS | xamarinwatchos was computed. |
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.
-
.NETFramework 4.6.2
- Microsoft.Bcl.Numerics (>= 10.0.0-preview.5.25280.105)
- System.Memory (>= 4.6.3)
- System.Numerics.Vectors (>= 4.6.1)
-
.NETStandard 2.0
- Microsoft.Bcl.Numerics (>= 10.0.0-preview.5.25280.105)
- System.Memory (>= 4.6.3)
- System.Numerics.Vectors (>= 4.6.1)
-
net10.0
- No dependencies.
-
net8.0
- No dependencies.
-
net9.0
- No dependencies.
GitHub repositories (21)
Showing the top 20 popular GitHub repositories that depend on System.Numerics.Tensors:
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microsoft/semantic-kernel
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A C#/.NET library to run LLM (🦙LLaMA/LLaVA) on your local device efficiently.
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dotnet/extensions
This repository contains a suite of libraries that provide facilities commonly needed when creating production-ready applications.
|
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microsoft/kernel-memory
RAG architecture: index and query any data using LLM and natural language, track sources, show citations, asynchronous memory patterns.
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ppy/osu-framework
A game framework written with osu! in mind.
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A .NET library that provides access to the library that powers PyTorch.
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DevExpress/Blazor
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microsoft/onnxruntime-training-examples
Examples for using ONNX Runtime for model training.
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allisterb/jemalloc.NET
A native memory manager for .NET
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JasonBock/Rocks
A mocking library based on the Compiler APIs (Roslyn + Mocks)
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microsoft/CryptoNets
CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Therefore, it allows keeping data private while outsourcing computation (see here and here for more about Homomorphic E
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TensorStack-AI/OnnxStack
C# Stable Diffusion using ONNX Runtime
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microsoft/typechat.net
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SteveSandersonMS/dotnet-ai-workshop
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Amine-Smahi/C-Sharp-Learning-Journey
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Version | Downloads | Last updated |
---|---|---|
10.0.0-preview.5.25280.105 | 0 | 6/2/2025 |
10.0.0-preview.5.25277.114 | 0 | 6/3/2025 |
10.0.0-preview.5.25277.101 | 0 | 5/29/2025 |
10.0.0-preview.5.25266.103 | 0 | 5/20/2025 |
10.0.0-preview.4.25255.103 | 0 | 5/12/2025 |
0.2.0-preview.19073.11 | 1 | 1/28/2019 |
0.2.0-preview.18571.3 | 1 | 11/30/2018 |