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TorchSharp-cuda-linux 0.107.0 

dotnet add package TorchSharp-cuda-linux --version 0.107.0
 
 
NuGet\Install-Package TorchSharp-cuda-linux -Version 0.107.0
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="TorchSharp-cuda-linux" Version="0.107.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="TorchSharp-cuda-linux" Version="0.107.0" />
 


 Directory.Packages.props
 

 

 
<PackageReference Include="TorchSharp-cuda-linux" />
 


 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 TorchSharp-cuda-linux --version 0.107.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support. 
#r "nuget: TorchSharp-cuda-linux, 0.107.0"
#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 TorchSharp-cuda-linux@0.107.0
#: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=TorchSharp-cuda-linux&version=0.107.0
 


 Install as a Cake Addin
 

 

 
#tool nuget:?package=TorchSharp-cuda-linux&version=0.107.0
 


 Install as a Cake Tool
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

TorchSharp makes PyTorch available for .NET users. This package combines the TorchSharp package with LibTorch 2.10.0 CUDA 12.8 support for Linux.

Product Versions Compatible and additional computed target framework versions.
.NET net8.0 net8.0 is compatible.  net8.0-android net8.0-android was computed.  net8.0-browser net8.0-browser was computed.  net8.0-ios net8.0-ios was computed.  net8.0-maccatalyst net8.0-maccatalyst was computed.  net8.0-macos net8.0-macos was computed.  net8.0-tvos net8.0-tvos was computed.  net8.0-windows net8.0-windows was computed.  net9.0 net9.0 was computed.  net9.0-android net9.0-android was computed.  net9.0-browser net9.0-browser was computed.  net9.0-ios net9.0-ios was computed.  net9.0-maccatalyst net9.0-maccatalyst was computed.  net9.0-macos net9.0-macos was computed.  net9.0-tvos net9.0-tvos was computed.  net9.0-windows net9.0-windows was computed.  net10.0 net10.0 was computed.  net10.0-android net10.0-android was computed.  net10.0-browser net10.0-browser was computed.  net10.0-ios net10.0-ios was computed.  net10.0-maccatalyst net10.0-maccatalyst was computed.  net10.0-macos net10.0-macos was computed.  net10.0-tvos net10.0-tvos was computed.  net10.0-windows 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 (3)

Showing the top 3 NuGet packages that depend on TorchSharp-cuda-linux:

Package Downloads
DiffSharp-cuda-linux

DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and installation instructions visit: https://diffsharp.github.io/
PointProcessDecoder.Cuda.Linux

A wrapper for TorchSharp-cuda-linux. Enables running the PointProcessDecoder package on the GPU on linux.
Furnace-cuda-linux

Furnace is a Production-grade machine learning library bringing the power and precision of F# to Torch GPU acceleration

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last Updated
0.107.0 355 5/7/2026
0.106.0 688 2/13/2026
0.105.2 1,387 12/11/2025
0.105.1 1,916 7/2/2025
0.105.0 2,368 12/12/2024
0.104.0 1,275 12/5/2024
0.103.1 2,308 10/24/2024
0.103.0 2,734 8/6/2024
0.102.8 986 8/1/2024
0.102.7 1,078 7/17/2024
0.102.6 1,185 6/20/2024
0.102.5 895 6/7/2024
0.102.4 1,176 4/17/2024
0.102.3 1,306 3/26/2024
0.102.2 1,109 3/5/2024
0.102.1 979 3/5/2024
0.102.0 1,116 2/27/2024
0.101.6 1,091 2/9/2024
0.101.5 1,027 12/20/2023
0.101.4 1,157 12/15/2023
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