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CommonPackage.props
CommonPackage.props
 
 
README.md
README.md
 
 
Redist-CPU.nuspec
Redist-CPU.nuspec
 
 
Redist-Windows-GPU.nuspec
Redist-Windows-GPU.nuspec
 
 
SciSharp.TensorFlow.Redist-CPU.nupkgproj
SciSharp.TensorFlow.Redist-CPU.nupkgproj
 
 
SciSharp.TensorFlow.Redist-Windows-GPU.nupkgproj
SciSharp.TensorFlow.Redist-Windows-GPU.nupkgproj
 
 
libtensorflow-cpu-darwin-x86_64-1.14.0.tar.gz.sha
libtensorflow-cpu-darwin-x86_64-1.14.0.tar.gz.sha
 
 
libtensorflow-cpu-linux-x86_64-1.14.0.tar.gz.sha
libtensorflow-cpu-linux-x86_64-1.14.0.tar.gz.sha
 
 
libtensorflow-cpu-windows-x86_64-1.14.0.zip.sha
libtensorflow-cpu-windows-x86_64-1.14.0.zip.sha
 
 
libtensorflow-gpu-windows-x86_64-1.14.0.zip.sha
libtensorflow-gpu-windows-x86_64-1.14.0.zip.sha
 
 

README.md

SciSharp.TensorFlow.Redist

SciSharp.TensorFlow.Redist is a migration from Microsoft.ML.TensorFlow.Redist. ML.NET team will not maintain the package since ML.NET v1.3.0 going forward.

  • CPU version for all platforms (Windows, Linux, OSX)
PM> Install-Package SciSharp.TensorFlow.Redist
  • GPU version for Windows
PM> Install-Package SciSharp.TensorFlow.Redist

https://www.nuget.org/packages/SciSharp.TensorFlow.Redist

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Pack and Deploy

On Windows, the tar command does not support extracting archives with symlinks. So when dotnet pack runs on Windows it will only package the Windows binaries.

  1. Run dotnet pack under src/SciSharp.TensorFlow.Redist directory in Linux.
  2. Run dotnet nuget push SciSharp.TensorFlow.Redist.1.14.0.nupkg -k APIKEY -s https://api.nuget.org/v3/index.json