Microsoft.ML.OnnxRuntime.Gpu
1.22.0
Prefix Reserved
dotnet add package Microsoft.ML.OnnxRuntime.Gpu --version 1.22.0
NuGet\Install-Package Microsoft.ML.OnnxRuntime.Gpu -Version 1.22.0
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="Microsoft.ML.OnnxRuntime.Gpu" Version="1.22.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="Microsoft.ML.OnnxRuntime.Gpu" Version="1.22.0" />
<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 1.22.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Microsoft.ML.OnnxRuntime.Gpu, 1.22.0"
#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.
#addin nuget:?package=Microsoft.ML.OnnxRuntime.Gpu&version=1.22.0
#tool nuget:?package=Microsoft.ML.OnnxRuntime.Gpu&version=1.22.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
About
ONNX Runtime is a cross-platform machine-learning inferencing accelerator.
ONNX Runtime can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms.
Learn more → here
NuGet Packages
ONNX Runtime Native packages
Microsoft.ML.OnnxRuntime
- Native libraries for all supported platforms
- CPU Execution Provider
- CoreML Execution Provider on macOS/iOS
- XNNPACK Execution Provider on Android/iOS
Microsoft.ML.OnnxRuntime.Gpu
- Windows and Linux
- TensorRT Execution Provider
- CUDA Execution Provider
- CPU Execution Provider
Microsoft.ML.OnnxRuntime.DirectML
- Windows
- DirectML Execution Provider
- CPU Execution Provider
Microsoft.ML.OnnxRuntime.QNN
- 64-bit Windows
- QNN Execution Provider
- CPU Execution Provider
Intel.ML.OnnxRuntime.OpenVino
- 64-bit Windows
- OpenVINO Execution Provider
- CPU Execution Provider
Other packages
Microsoft.ML.OnnxRuntime.Managed
- C# language bindings
Microsoft.ML.OnnxRuntime.Extensions
- Custom operators for pre/post processing on all supported platforms.
There are no supported framework assets in this package.
Learn more about Target Frameworks and .NET Standard.
-
.NETCoreApp 0.0
- Microsoft.ML.OnnxRuntime.Gpu.Linux (>= 1.22.0)
- Microsoft.ML.OnnxRuntime.Gpu.Windows (>= 1.22.0)
- Microsoft.ML.OnnxRuntime.Managed (>= 1.22.0)
-
.NETFramework 0.0
- Microsoft.ML.OnnxRuntime.Gpu.Linux (>= 1.22.0)
- Microsoft.ML.OnnxRuntime.Gpu.Windows (>= 1.22.0)
- Microsoft.ML.OnnxRuntime.Managed (>= 1.22.0)
-
.NETStandard 0.0
- Microsoft.ML.OnnxRuntime.Gpu.Linux (>= 1.22.0)
- Microsoft.ML.OnnxRuntime.Gpu.Windows (>= 1.22.0)
- Microsoft.ML.OnnxRuntime.Managed (>= 1.22.0)
GitHub repositories (12)
Showing the top 12 popular GitHub repositories that depend on Microsoft.ML.OnnxRuntime.Gpu:
| Repository | Stars |
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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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fagenorn/handcrafted-persona-engine
An AI-powered interactive avatar engine using Live2D, LLM, ASR, TTS, and RVC. Ideal for VTubing, streaming, and virtual assistant applications.
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microsoft/psi
Platform for Situated Intelligence
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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 videos.
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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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cassiebreviu/StableDiffusion
Inference Stable Diffusion with C# and 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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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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dje-dev/Ceres
Ceres - an MCTS chess engine for research and recreation
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Release Def:
Branch: refs/heads/rel-1.22.0
Commit: f217402897f40ebba457e2421bc0a4702771968e
Build: https://aiinfra.visualstudio.com/Lotus/_build/results?buildId=781523