TorchSharp

TorchSharp is a .NET library that provides access to the library that powers PyTorch. It is a work in progress, but already provides a .NET API that can be used to perform (1) various operations on ATen Tensors; (2) scoring of TorchScript models; (3) Training of simple neural networks.

Our current focus is to bind the entire API surfaced by libtorch.

Things that you can try:

using AtenSharp;

var x = new FloatTensor (100);   // 1D-tensor with 100 elements
FloatTensor result = new FloatTensor (100);

FloatTensor.Add (x, 23, result);

Console.WriteLine (x [12]);

Discussions

We have a chat room on Gitter

Building

Windows

Requirements:

Visual Studio
git
cmake (tested with 3.14)

Commands:

Building: build.cmd
Building from Visual Studio: first build using the command line
See all configurations: build.cmd -?
Run tests from command line: build.cmd -runtests
Build packages: build.cmd -buildpackages

Linux/Mac

Requirements:

requirements to run .NET Core 2.0
git
cmake (tested with 3.14)
clang 3.9

Commands:

Building: ./build.sh
Building from Visual Studio: first build using the command line
See all configurations: ./build.sh -?
Run tests from command line: ./build.sh -runtests
Build packages: ./build.sh -buildpackages

Updating pacakge version for new release

To change the pacakage version update this file. Everything is currently considered in preview.

Use the following two MSBuild arguments in order to control the -preview and the build numbers in the name of the nuget packages produced (use one of the two generally):

Name	Value	Example Version Output
StabilizePackageVersion	true	1.0.0
IncludeBuildNumberInPackageVersion	false	1.0.0-preview

Sample command: ./build.cmd -release -buildpackages -- /p:StabilizePackageVersion=true

Examples

Porting of the more famous network architectures to TorchSharp is in progress. For the moment we only support MNIST and AlexNet