Microsoft.ML.OnnxRuntime.Gpu
1.12.0-dev-20220505-0133-084165c74
Prefix Reserved
This is a prerelease version of Microsoft.ML.OnnxRuntime.Gpu.
There is a newer version of this package available.
See the version list below for details.
See the version list below for details.
dotnet add package Microsoft.ML.OnnxRuntime.Gpu --version 1.12.0-dev-20220505-0133-084165c74
NuGet\Install-Package Microsoft.ML.OnnxRuntime.Gpu -Version 1.12.0-dev-20220505-0133-084165c74
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="Microsoft.ML.OnnxRuntime.Gpu" Version="1.12.0-dev-20220505-0133-084165c74" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="Microsoft.ML.OnnxRuntime.Gpu" Version="1.12.0-dev-20220505-0133-084165c74" />
<PackageReference Include="Microsoft.ML.OnnxRuntime.Gpu" />
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 Microsoft.ML.OnnxRuntime.Gpu --version 1.12.0-dev-20220505-0133-084165c74
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Microsoft.ML.OnnxRuntime.Gpu, 1.12.0-dev-20220505-0133-084165c74"
#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 Microsoft.ML.OnnxRuntime.Gpu@1.12.0-dev-20220505-0133-084165c74
#: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=Microsoft.ML.OnnxRuntime.Gpu&version=1.12.0-dev-20220505-0133-084165c74&prerelease
#tool nuget:?package=Microsoft.ML.OnnxRuntime.Gpu&version=1.12.0-dev-20220505-0133-084165c74&prerelease
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
This package contains native shared library artifacts for all supported platforms of ONNX Runtime.
| 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 was computed. 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 was computed. 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 | netcoreapp1.0 was computed. netcoreapp1.1 was computed. netcoreapp2.0 was computed. netcoreapp2.1 was computed. netcoreapp2.2 was computed. netcoreapp3.0 was computed. netcoreapp3.1 was computed. |
| .NET Standard | netstandard1.1 is compatible. netstandard1.2 was computed. netstandard1.3 was computed. netstandard1.4 was computed. netstandard1.5 was computed. netstandard1.6 was computed. netstandard2.0 is compatible. netstandard2.1 was computed. |
| .NET Framework | net45 was computed. net451 was computed. net452 was computed. net46 was computed. net461 was computed. net462 was computed. 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. |
| native | native is compatible. |
| Tizen | tizen30 was computed. tizen40 was computed. tizen60 was computed. |
| Universal Windows Platform | uap was computed. uap10.0 was computed. |
| Windows Phone | wpa81 was computed. |
| Windows Store | netcore was computed. netcore45 was computed. netcore451 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.
-
.NETCoreApp 0.0
- Microsoft.ML.OnnxRuntime.Managed (>= 1.12.0-dev-20220505-0133-084165c74)
-
.NETFramework 0.0
- Microsoft.ML.OnnxRuntime.Managed (>= 1.12.0-dev-20220505-0133-084165c74)
-
.NETStandard 0.0
- Microsoft.ML.OnnxRuntime.Managed (>= 1.12.0-dev-20220505-0133-084165c74)
GitHub repositories (13)
Showing the top 13 popular GitHub repositories that depend on Microsoft.ML.OnnxRuntime.Gpu:
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fagenorn/handcrafted-persona-engine
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codeproject/CodeProject.AI-Server
CodeProject.AI Server is a self contained service that software developers can include in, and distribute with, their applications in order to augment their apps with the power of AI.
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NickSwardh/YoloDotNet
YoloDotNet - A C# .NET 8.0 project for Classification, Object Detection, OBB Detection, Segmentation and Pose Estimation in both images and live video streams.
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microsoft/psi
Platform for Situated Intelligence
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dme-compunet/YoloSharp
🚀 A high performance real-time object detection solution using YOLO11 ⚡️ powered by ONNX-Runtime
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sstainba/Yolov8.Net
A .net 6 implementation to use Yolov5 and Yolov8 models via the ONNX Runtime
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FaceONNX/FaceONNX
Face recognition and analytics library based on deep neural networks and ONNX runtime
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cassiebreviu/StableDiffusion
Inference Stable Diffusion with C# and ONNX Runtime
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TensorStack-AI/OnnxStack
C# Stable Diffusion using ONNX Runtime
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microsoft/Microsoft-Rocket-Video-Analytics-Platform
A highly extensible software stack to empower everyone to build practical real-world live video analytics applications for object detection and counting with cutting edge machine learning algorithms.
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Particle1904/DatasetHelpers
Dataset Helper program to automatically select, re scale and tag Datasets (composed of image and text) for Machine Learning training.
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Lyrcaxis/KokoroSharp
Fast local TTS inference engine in C# with ONNX runtime. Multi-speaker, multi-platform and multilingual. Integrate on your .NET projects using a plug-and-play NuGet package, complete with all voices.
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dje-dev/Ceres
Ceres - an MCTS chess engine for research and recreation
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Release Def:
Branch: refs/heads/master
Commit: 084165c748bcd6fbb3fca4d60b1ece911c04c043
Build: https://aiinfra.visualstudio.com/Lotus/_build/results?buildId=206086