Toro.NN 0.4.0

Prefix Reserved

dotnet add package Toro.NN --version 0.4.0

NuGet\Install-Package Toro.NN -Version 0.4.0

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="Toro.NN" Version="0.4.0" />

For projects that support PackageReference, copy this XML node into the project file to reference the package.

<PackageVersion Include="Toro.NN" Version="0.4.0" />
                    

                            Directory.Packages.props

<PackageReference Include="Toro.NN" />
                    

                            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 Toro.NN --version 0.4.0

The NuGet Team does not provide support for this client. Please contact its maintainers for support.

#r "nuget: Toro.NN, 0.4.0"

#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 Toro.NN@0.4.0

#: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=Toro.NN&version=0.4.0
                    

                            Install as a Cake Addin

#tool nuget:?package=Toro.NN&version=0.4.0
                    

                            Install as a Cake Tool

The NuGet Team does not provide support for this client. Please contact its maintainers for support.

Toro.NN

Neural network building blocks for Toro. Layers, composition, optimizers, and training utilities with F# records.

Documentation

Installation

dotnet add package Toro.NN
dotnet add package TorchSharp-cpu

Quick Example

open Toro
open Toro.NN

let x = Tensor.ofList ([ [ 0f; 0f ]; [ 0f; 1f ]; [ 1f; 0f ]; [ 1f; 1f ] ], Cpu)
let y = Tensor.ofList ([ [ 0f ]; [ 1f ]; [ 1f ]; [ 0f ] ], Cpu)

let l1 = Linear.init 2 16 F32 Cpu
let l2 = Linear.init 16 1 F32 Cpu
let model = sequential { l1; Relu; l2 }

let opt = AdamW.createWithLr 0.01 (Model.trainableVars model)

for epoch in 1..500 do
    scoped {
        opt.zeroGrad ()
        let pred = model.forward x
        let loss = Loss.mse pred y
        loss.backward ()
        opt.step ()
    }

Features

Layers -- Linear, Conv1d/Conv2d, Embedding, BatchNorm, LayerNorm, GroupNorm, Dropout, pooling, activations
Blocks -- LSTM, GRU, MultiHeadAttention, TransformerBlock, KV cache
Composition -- sequential { } and pipeline { } CEs
Training -- SGD, AdamW, learning-rate schedulers, loss functions, metrics, gradient clipping, checkpoints

License

MIT

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.

net10.0
- FSharp.Core (>= 10.1.302)
- Toro (>= 0.4.0)

NuGet packages (1)

Showing the top 1 NuGet packages that depend on Toro.NN:

Package	Downloads
Toro.GNN Graph Neural Network layers for Toro	169

GitHub repositories

This package is not used by any popular GitHub repositories.

Version	Downloads	Last Updated
0.4.0	54	8/11/2026
0.3.0	86	8/10/2026
0.2.2	78	8/10/2026
0.2.1	80	8/10/2026