DiffSharp-cuda-linux
1.0.7
dotnet add package DiffSharp-cuda-linux --version 1.0.7
NuGet\Install-Package DiffSharp-cuda-linux -Version 1.0.7
<PackageReference Include="DiffSharp-cuda-linux" Version="1.0.7" />
paket add DiffSharp-cuda-linux --version 1.0.7
#r "nuget: DiffSharp-cuda-linux, 1.0.7"
// Install DiffSharp-cuda-linux as a Cake Addin
#addin nuget:?package=DiffSharp-cuda-linux&version=1.0.7
// Install DiffSharp-cuda-linux as a Cake Tool
#tool nuget:?package=DiffSharp-cuda-linux&version=1.0.7
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 | Versions |
|---|---|
| .NET | net6.0 net6.0-android net6.0-ios net6.0-maccatalyst net6.0-macos net6.0-tvos net6.0-windows net7.0 net7.0-android net7.0-ios net7.0-maccatalyst net7.0-macos net7.0-tvos net7.0-windows |
-
net6.0
- DiffSharp.Backends.Reference (>= 1.0.7)
- DiffSharp.Backends.Torch (>= 1.0.7)
- DiffSharp.Core (>= 1.0.7)
- DiffSharp.Data (>= 1.0.7)
- FSharp.Core (>= 6.0.1)
- TorchSharp-cuda-linux (>= 0.96.0)
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
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