JYPPX.TensorRT.CSharp.API 4.0.6170

.NET 5.0 This package targets .NET 5.0. The package is compatible with this framework or higher. .NET Core 3.1 This package targets .NET Core 3.1. The package is compatible with this framework or higher. .NET Framework 4.6 This package targets .NET Framework 4.6. The package is compatible with this framework or higher. 
dotnet add package JYPPX.TensorRT.CSharp.API --version 4.0.6170
                    


                    

                
NuGet\Install-Package JYPPX.TensorRT.CSharp.API -Version 4.0.6170
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="JYPPX.TensorRT.CSharp.API" Version="4.0.6170" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="JYPPX.TensorRT.CSharp.API" Version="4.0.6170" />
                    


                            Directory.Packages.props
                        

                    

                
<PackageReference Include="JYPPX.TensorRT.CSharp.API" />
                    


                            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 JYPPX.TensorRT.CSharp.API --version 4.0.6170
                    


                    

                
#r "nuget: JYPPX.TensorRT.CSharp.API, 4.0.6170"
#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 JYPPX.TensorRT.CSharp.API@4.0.6170
#: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=JYPPX.TensorRT.CSharp.API&version=4.0.6170
                    


                            Install as a Cake Addin
                        

                    

                
#tool nuget:?package=JYPPX.TensorRT.CSharp.API&version=4.0.6170
                    


                            Install as a Cake Tool

JYPPX.TensorRT.CSharp.API

This package contains the managed TensorRtSharp4.0 assemblies:

  • JYPPX.TensorRtSharp
  • JYPPX.CudaSharp
  • JYPPX.Shared

Install one matching runtime package for native assets. Runtime package names include the target TensorRT, CUDA, and cuDNN major.minor versions, for example:

  • JYPPX.TensorRT.CSharp.API.Runtime.win-x64.trt8.6.cuda11.8.cudnn8.9
  • JYPPX.TensorRT.CSharp.API.Runtime.win-x64.trt8.6.cuda12.1.cudnn8.9
  • JYPPX.TensorRT.CSharp.API.Runtime.win-x64.trt10.11.cuda11.8.cudnn8.9
  • JYPPX.TensorRT.CSharp.API.Runtime.win-x64.trt10.11.cuda12.9.cudnn9.22
  • JYPPX.TensorRT.CSharp.API.Runtime.win-x64.trt11.0.cuda12.9.cudnn9.22
  • JYPPX.TensorRT.CSharp.API.Runtime.win-x64.trt11.0.cuda13.2.cudnn9.22

The package metadata keeps the full vendor versions, such as TensorRT 10.11.0.33 and cuDNN 8.9.7.29. CUDA 12.9 is installed locally and must be used for cuda12.9 runtime packages; the earlier CUDA 12.3 fallback is retired and must not be used for locally validated packages.

TensorRT, CUDA, and cuDNN runtime packages are versioned independently from this managed package. Publish the CudaCudnn and TensorRt component packages only when those dependency sets change. Publish the bridge component package when the local C ABI bridge changes. The original runtime package ID is kept as a lightweight collection package that pins one tested component-version combination.

Split runtime package names follow the component role:

  • <runtime-package-id>.Bridge
  • <runtime-package-id>.CudaCudnn
  • <runtime-package-id>.TensorRt

Large stable dependency component packages may stay on GitHub Packages or GitHub Releases when they exceed nuget.org package-size limits. NVIDIA redistribution terms must be reviewed for the exact binaries being shipped.

Product Compatible and additional computed target framework versions.
.NET net5.0 is compatible.  net5.0-windows was computed.  net6.0 is compatible.  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 is compatible.  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 netcoreapp3.1 is compatible. 
.NET Framework net46 is compatible.  net461 is compatible.  net462 is compatible.  net463 was computed.  net47 is compatible.  net471 is compatible.  net472 is compatible.  net48 is compatible.  net481 is compatible. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

  • net8.0

    • No dependencies.

NuGet packages (2)

Showing the top 2 NuGet packages that depend on JYPPX.TensorRT.CSharp.API:

Package Downloads
JYPPX.DeploySharp

DeploySharp is a cross-platform model deployment framework designed for C# developers, offering end-to-end solutions from model loading and configuration management to inference execution. Its modular namespace architecture significantly reduces the complexity of integrating deep learning models into the C# ecosystem.
sevencat.ai.algo

Package Description

GitHub repositories (1)

Showing the top 1 popular GitHub repositories that depend on JYPPX.TensorRT.CSharp.API:

Repository Stars
guojin-yan/DeploySharp
Deploying deep learning models on multiple platforms (OpenVINO/ONNX Runtime, etc.)
Version Downloads Last Updated
4.0.6170 41 6/18/2026
0.0.5.2 1,189 1/27/2026
0.0.5.1 123 1/27/2026
0.0.5 611 1/9/2026
0.0.4 142 1/4/2026
0.0.3 275 12/7/2025
0.0.2 439 11/18/2025
0.0.1 260 10/19/2025