DiffSharp.Backends.Torch
1.0.7
dotnet add package DiffSharp.Backends.Torch --version 1.0.7
NuGet\Install-Package DiffSharp.Backends.Torch -Version 1.0.7
<PackageReference Include="DiffSharp.Backends.Torch" Version="1.0.7" />
paket add DiffSharp.Backends.Torch --version 1.0.7
#r "nuget: DiffSharp.Backends.Torch, 1.0.7"
// Install DiffSharp.Backends.Torch as a Cake Addin
#addin nuget:?package=DiffSharp.Backends.Torch&version=1.0.7
// Install DiffSharp.Backends.Torch as a Cake Tool
#tool nuget:?package=DiffSharp.Backends.Torch&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 Compatible and additional computed target framework versions. |
|---|---|
| .NET | net6.0 is compatible. 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-ios was computed. net8.0-maccatalyst was computed. net8.0-macos was computed. net8.0-tvos was computed. net8.0-windows was computed. |
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net6.0
- DiffSharp.Core (>= 1.0.7)
- FSharp.Core (>= 6.0.3)
- TorchSharp (>= 0.96.0)
NuGet packages (4)
Showing the top 4 NuGet packages that depend on DiffSharp.Backends.Torch:
| Package | Downloads |
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DiffSharp-cuda-windows
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/ |
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DiffSharp-cuda-linux
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/ |
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DiffSharp-cpu
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/ |
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DiffSharp-lite
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.