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]);We have a chat room on Gitter
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
Requirements:
- requirements to run .NET Core 2.0
- git
- cmake (tested with 3.14)
- clang 3.9
Example to fulfill the requirements in Ubuntu 16:
sudo apt-get update
sudo apt-get install git clang cmake libunwind8 curl
sudo apt-get install libssl1.0.0
sudo apt-get install libomp-dev
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
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
Porting of the more famous network architectures to TorchSharp is in progress. For the moment we only support MNIST and AlexNet