TensorFlowSharp-Lite 2.8.0

.NET Standard 2.0 This package targets .NET Standard 2.0. The package is compatible with this framework or higher. .NET Framework 4.7.2 This package targets .NET Framework 4.7.2. The package is compatible with this framework or higher. 
dotnet add package TensorFlowSharp-Lite --version 2.8.0                

                    
                

            
NuGet\Install-Package TensorFlowSharp-Lite -Version 2.8.0
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="TensorFlowSharp-Lite" Version="2.8.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add TensorFlowSharp-Lite --version 2.8.0                

                    
                

            
#r "nuget: TensorFlowSharp-Lite, 2.8.0"
#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. 
// Install TensorFlowSharp-Lite as a Cake Addin
#addin nuget:?package=TensorFlowSharp-Lite&version=2.8.0

// Install TensorFlowSharp-Lite as a Cake Tool
#tool nuget:?package=TensorFlowSharp-Lite&version=2.8.0

.NET Bindings for TensorFlow

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
.NET Core netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 is compatible.  netstandard2.1 was computed. 
.NET Framework net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 is compatible.  net48 was computed.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen40 was computed.  tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

  • .NETFramework 4.7.2

    • No dependencies.

  • .NETStandard 2.0

    • No dependencies.

NuGet packages (3)

Showing the top 3 NuGet packages that depend on TensorFlowSharp-Lite:

Package Downloads
Bonsai.DeepLabCut

Bonsai Library for real-time markerless pose estimation using DeepLabCut. TensorFlow 2.8.0 or compatible is required.
Bonsai.Sleap

Bonsai Library for real-time multi-pose tracking using SLEAP. TensorFlow 2.8.0 or compatible is required.
Bonsai.TensorFlow.MoveNet

Bonsai Library for real-time human pose estimation using MoveNet. TensorFlow 2.8.0 or compatible is required.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
2.8.0 3,101 5/10/2022
1.15.2 1,625 4/17/2020

2.8.0: Updated to TensorFlow 2.8.0; 1.15.3: Fixed libtensorflow.dll not being copied to output directory on .NET Core; 1.15.1: Add a Runner.Run method that does not allocate - contribution from Enrico Minack; 1.15.0: Updated to TensorFlow 1.15; 1.13.1: Fixes boolean and ushort tensor construction fixes from Enrico Minack;  Runner.AddInput fixes from Colin Versteeg; captainst provided a convenience function for the samples; Zeeshan Ahmed added AdamOptimizer; Kevin Malenfant fixes a few bugs; Enrico Minack added support for mutable tensors;  1.13.0: An optimization implementation now exists for C#, contributed by Zeeshan Ahmed from the Microsoft data science team (RMSProp, SGD optimizer bindings);  TFSession now has a static method for loading models;  New methods for loading strings into tensors (also Zeeshan)