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[![Build Status](https://migueldeicaza.visualstudio.com/TorchSharp/_apis/build/status/TorchSharp-CI)](https://migueldeicaza.visualstudio.com/TorchSharp/_build/latest?definitionId=5)
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TorchSharp
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==========
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TorchSharp is a .NET library that provides access to the library that powers
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PyTorch. It is a work in progress, but already provides a .NET API that can
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be used to perform various operations on Tensors.
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be used to perform (1) various operations on ATen Tensors; (2) scoring of
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TorchScript models; (3) Training of simple neural networks.
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Our current focus is to bind the entire C API surfaced by libtorch.
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Our current focus is to bind the entire API surfaced by libtorch.
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Things that you can try:
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```csharp
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using TorchSharp;
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using AtenSharp;
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var x = new FloatTensor (100); // 1D-tensor with 100 elements
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FloatTensor result = new FloatTensor (100);
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https://gitter.im/xamarin/TorchSharp
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Status
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======
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Currently I am binding the Tensor APIs, opportunities to bind other APIs
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are wide open.
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[API Documentation](https://xamarin.github.io/TorchSharp/api/TorchSharp.html)
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Running this
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============
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To run this, you will need libtorch and its dependencies (on Mac that
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To run this, you will need libTorchSharp, libTorch and its dependencies (on Mac that
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includes libc10) installed in a location that your dynamic linker can
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get to.
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Running On Linux (on Windows)
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Running On Windows
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-----------------------------
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The following was tested on Ubuntu 18.04 on the Windows Subsytem for Linux.
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The following was tested on Windows.
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1. Install the [.NET Core SDK](https://www.microsoft.com/net/download).
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2. Install [libtorch](https://pytorch.org/), and make it available to the
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1. Install [libTorch](https://pytorch.org/), and make it available to the
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dynamic linker.
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2. Download and compile [libTorchSharp](https://github.com/interesaaat/LibTorchSharp/), and make it available to the
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dynamic linker.
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3. Run `dotnet run` in the `Tester` subfolder.
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3. Run `dotnet run` in the `Test` subfolder.

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