dfx-Dfx.Backends.Torch 1.0.10

.NET 10.0 This package targets .NET 10.0. The package is compatible with this framework or higher. 
dotnet add package dfx-Dfx.Backends.Torch --version 1.0.10
                    


                    

                
NuGet\Install-Package dfx-Dfx.Backends.Torch -Version 1.0.10
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="dfx-Dfx.Backends.Torch" Version="1.0.10" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="dfx-Dfx.Backends.Torch" Version="1.0.10" />
                    


                            Directory.Packages.props
                        

                    

                
<PackageReference Include="dfx-Dfx.Backends.Torch" />
                    


                            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 dfx-Dfx.Backends.Torch --version 1.0.10
                    


                    

                
#r "nuget: dfx-Dfx.Backends.Torch, 1.0.10"
#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 dfx-Dfx.Backends.Torch@1.0.10
#: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=dfx-Dfx.Backends.Torch&version=1.0.10
                    


                            Install as a Cake Addin
                        

                    

                
#tool nuget:?package=dfx-Dfx.Backends.Torch&version=1.0.10
                    


                            Install as a Cake Tool

dfx 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://dfx-org.github.io/dfx/

Product Compatible and additional computed target framework versions.
.NET 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. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (4)

Showing the top 4 NuGet packages that depend on dfx-Dfx.Backends.Torch:

Package Downloads
dfx-cpu

dfx 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://dfx-org.github.io/dfx/
dfx-lite

dfx 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://dfx-org.github.io/dfx/
dfx-cuda-windows

dfx 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://dfx-org.github.io/dfx/
dfx-cuda-linux

dfx 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://dfx-org.github.io/dfx/

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last Updated
1.0.10 97 10/11/2026