TorchSharp.Fun 0.70.0

.NET 6.0 This package targets .NET 6.0. The package is compatible with this framework or higher.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package TorchSharp.Fun --version 0.70.0
                    


                    

                
NuGet\Install-Package TorchSharp.Fun -Version 0.70.0
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.Fun" Version="0.70.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="TorchSharp.Fun" Version="0.70.0" />
                    


                            Directory.Packages.props
                        

                    

                
<PackageReference Include="TorchSharp.Fun" />
                    


                            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.Fun --version 0.70.0
                    


                    

                
#r "nuget: TorchSharp.Fun, 0.70.0"
#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=TorchSharp.Fun&version=0.70.0
                    


                            Install TorchSharp.Fun as a Cake Addin
                        

                    

                
#tool nuget:?package=TorchSharp.Fun&version=0.70.0
                    


                            Install TorchSharp.Fun as a Cake Tool

TorchSharp.Fun

A wrapper over TorchSharp that provides a function-compostion style of model construction. Makes the model structure more apparent. It is easier to make incremental changes to the model. Makes iterative model development faster.

Example usage

let lisht() = 
    F [] [] (fun z ->
        use g = torch.nn.functional.tanh(z)
        z * g
    )

let model =
    torch.nn.EmbeddingBag(EMB_INDX_DIM,EMB_DIM)
    ->> torch.nn.Linear(EMB_DIM,BTL_N)
    ->> lisht()
    ->> torch.nn.Dropout(0.1)
    ->> torch.nn.Linear(BTL_N,BTL_N)
    ->> lisht()
    ->> torch.nn.Dropout(0.1)
    ->> torch.nn.Linear(BTL_N,BASE_TGTS)
Product Compatible and additional computed target framework versions.
.NET 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 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. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
0.90.1 156 3/27/2025
0.90.0 137 3/27/2025
0.82.0 145 9/7/2024
0.81.0 173 2/19/2024
0.80.0 130 2/12/2024
0.79.0 119 1/30/2024
0.77.0 355 2/26/2023
0.76.0 300 2/13/2023
0.75.0 278 2/13/2023
0.74.0 291 2/12/2023
0.73.0 433 11/15/2022
0.70.0 380 11/14/2022
0.61.0 478 10/8/2022
0.60.0 528 8/14/2022
0.50.0 446 5/18/2022
0.4.3 473 4/18/2022

Breaking changes! plus updated to torchsharp 0.99 and F# 7.0.0