Gradient 0.1.10-tech-preview4

A technical preview of full TensorFlow 1.10 API binding for .NET.


Allows building arbitrary machine learning models, training them, and loading and executing pre-trained models using the most popular machine learning framework out there: TensorFlow. All from your favorite comfy .NET language. Supports both CPU and GPU training (the later requires CUDA or a special build of TensorFlow).


Provides access to full tf.keras and tf.contrib APIs, including estimators.


This preview will expire.


!!NOTE!!

This version requires Python 3.6 x64 to be installed with tensorflow or tensorflow-gpu. See the official installation instructions in https://www.tensorflow.org/install/ (ensure you are installing version 1.10 to avoid hard-to-debug issues).


For community support, please use https://stackoverflow.com/ with tags (must be all 3 together) tensorflow, gradient, and .net.

Please, report any issues to https://github.com/losttech/Gradient/issues

For on-site/remote support for this preview email contact@losttech.software .


More information in NuGet package release notes and at the project web page: https://github.com/losttech/Gradient .

Install-Package Gradient -Version 0.1.10-tech-preview4

dotnet add package Gradient --version 0.1.10-tech-preview4

<PackageReference Include="Gradient" Version="0.1.10-tech-preview4" />

paket add Gradient --version 0.1.10-tech-preview4

#r "nuget: Gradient, 0.1.10-tech-preview4"

// Install Gradient as a Cake Addin
#addin nuget:?package=Gradient&version=0.1.10-tech-preview4&prerelease

// Install Gradient as a Cake Tool
#tool nuget:?package=Gradient&version=0.1.10-tech-preview4&prerelease

Release Notes

This version requires Python 3.6 x64 to be installed with tensorflow or tensorflow-gpu. See the official installation instructions in https://www.tensorflow.org/install/ (ensure you are installing version 1.10 to avoid hard-to-debug issues).

If your app, that uses Gradient, targets net4xx (like net472), you need to specify a proper runtime identifier to run and publish. e.g. "dotnet publish -r win" and "dotnet run -r win7-x64". Note, "run" requires specific identifier.

What's new

Preview 4:

- added XML documentation

- support for Ubuntu 18.04 x64 and MacOS with .NET Core; other *nix OS might work too

- bug fixes


Preview 3:

- fixed inability to reenter TensorFlow from a callback


Preview 2:

- dynamically typed overloads, that enable fallback for tricky signatures

- a common interface for tf.Variable and tf.Tensor

- enabled enumeration over TensorFlow collection types

Dependencies

• .NETStandard 2.0

  • Python.Runtime.UnofficialNetStandard (>= 2.4.0-a6)
  • SharPy.Runtime (>= 0.1.0-a2)
  • WhichPython (>= 0.2.0-CI-20190212-231024)

Used By

Version History