DiffSharp.Backends.Torch
1.0.6-preview1838781533
See the version list below for details.
dotnet add package DiffSharp.Backends.Torch --version 1.0.6-preview1838781533
NuGet\Install-Package DiffSharp.Backends.Torch -Version 1.0.6-preview1838781533
<PackageReference Include="DiffSharp.Backends.Torch" Version="1.0.6-preview1838781533" />
<PackageVersion Include="DiffSharp.Backends.Torch" Version="1.0.6-preview1838781533" />
<PackageReference Include="DiffSharp.Backends.Torch" />
paket add DiffSharp.Backends.Torch --version 1.0.6-preview1838781533
#r "nuget: DiffSharp.Backends.Torch, 1.0.6-preview1838781533"
#:package DiffSharp.Backends.Torch@1.0.6-preview1838781533
#addin nuget:?package=DiffSharp.Backends.Torch&version=1.0.6-preview1838781533&prerelease
#tool nuget:?package=DiffSharp.Backends.Torch&version=1.0.6-preview1838781533&prerelease
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 | 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. |
-
net5.0
- DiffSharp.Core (>= 1.0.6-preview1838781533)
- FSharp.Core (>= 5.0.2)
- TorchSharp (>= 0.96.0)
NuGet packages (6)
Showing the top 5 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/ |
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FAkka.Mathnet.Symbolic.withTensorSupported
Package Description |
GitHub repositories
This package is not used by any popular GitHub repositories.
| Version | Downloads | Last Updated |
|---|---|---|
| 1.0.7 | 6,655 | 3/26/2022 |
| 1.0.7-preview2044360861 | 656 | 3/26/2022 |
| 1.0.7-preview1873603133 | 711 | 2/21/2022 |
| 1.0.7-preview1872895008 | 705 | 2/20/2022 |
| 1.0.7-preview1872194677 | 698 | 2/20/2022 |
| 1.0.7-preview1867437105 | 682 | 2/19/2022 |
| 1.0.7-preview1838897476 | 679 | 2/14/2022 |
| 1.0.7-preview1838869913 | 687 | 2/14/2022 |
| 1.0.6 | 6,930 | 2/9/2022 |
| 1.0.6-preview1838805210 | 683 | 2/14/2022 |
| 1.0.6-preview1838790927 | 751 | 2/14/2022 |
| 1.0.6-preview1838781533 | 689 | 2/14/2022 |
| 1.0.6-preview1838761310 | 708 | 2/14/2022 |
| 1.0.6-preview1838574327 | 774 | 2/14/2022 |
| 1.0.6-preview1838238393 | 713 | 2/13/2022 |
| 1.0.6-preview1837967313 | 749 | 2/13/2022 |
| 1.0.6-preview1837932839 | 518 | 2/13/2022 |
| 1.0.6-preview1837857091 | 511 | 2/13/2022 |
| 1.0.5 | 3,860 | 2/9/2022 |
| 1.0.4 | 4,025 | 2/8/2022 |