DiffSharp-cuda-linux 1.0.7-preview1873603133

This is a prerelease version of DiffSharp-cuda-linux.
There is a newer version of this package available.
See the version list below for details.
dotnet add package DiffSharp-cuda-linux --version 1.0.7-preview1873603133
                    
NuGet\Install-Package DiffSharp-cuda-linux -Version 1.0.7-preview1873603133
                    
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="DiffSharp-cuda-linux" Version="1.0.7-preview1873603133" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="DiffSharp-cuda-linux" Version="1.0.7-preview1873603133" />
                    
Directory.Packages.props
<PackageReference Include="DiffSharp-cuda-linux" />
                    
Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package.
paket add DiffSharp-cuda-linux --version 1.0.7-preview1873603133
                    
#r "nuget: DiffSharp-cuda-linux, 1.0.7-preview1873603133"
                    
#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.
#:package DiffSharp-cuda-linux@1.0.7-preview1873603133
                    
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package.
#addin nuget:?package=DiffSharp-cuda-linux&version=1.0.7-preview1873603133&prerelease
                    
Install as a Cake Addin
#tool nuget:?package=DiffSharp-cuda-linux&version=1.0.7-preview1873603133&prerelease
                    
Install as a Cake Tool

DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and installation instructions visit: https://diffsharp.github.io/

Product Compatible and additional computed target framework versions.
.NET net5.0 is compatible.  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.  net9.0 was computed.  net9.0-android was computed.  net9.0-browser was computed.  net9.0-ios was computed.  net9.0-maccatalyst was computed.  net9.0-macos was computed.  net9.0-tvos was computed.  net9.0-windows was computed.  net10.0 was computed.  net10.0-android was computed.  net10.0-browser was computed.  net10.0-ios was computed.  net10.0-maccatalyst was computed.  net10.0-macos was computed.  net10.0-tvos was computed.  net10.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (1)

Showing the top 1 NuGet packages that depend on DiffSharp-cuda-linux:

Package Downloads
DiffSharp-cuda

DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and installation instructions visit: https://diffsharp.github.io/

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last Updated
1.0.7 2,469 3/26/2022
1.0.7-preview2044360861 450 3/26/2022
1.0.7-preview1873603133 518 2/21/2022
1.0.7-preview1872895008 442 2/20/2022
1.0.7-preview1872194677 464 2/20/2022
1.0.7-preview1867437105 474 2/19/2022
1.0.7-preview1838897476 468 2/14/2022
1.0.7-preview1838869913 481 2/14/2022
1.0.6 5,106 2/9/2022
1.0.6-preview1838805210 453 2/14/2022
1.0.6-preview1838790927 508 2/14/2022
1.0.6-preview1838781533 473 2/14/2022
1.0.6-preview1838761310 492 2/14/2022
1.0.6-preview1838574327 586 2/14/2022
1.0.6-preview1838238393 514 2/13/2022
1.0.6-preview1837967313 542 2/13/2022
1.0.5 959 2/9/2022
1.0.4 1,873 2/8/2022
1.0.3 2,233 2/8/2022
1.0.2 2,266 2/8/2022
Loading failed