TorchSharp 0.96.6

.NET Core 3.1 .NET Standard 2.0
Install-Package TorchSharp -Version 0.96.6
dotnet add package TorchSharp --version 0.96.6
<PackageReference Include="TorchSharp" Version="0.96.6" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add TorchSharp --version 0.96.6
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: TorchSharp, 0.96.6"
#r directive can be used in F# Interactive, C# scripting and .NET Interactive. Copy this into the interactive tool or source code of the script to reference the package.
// Install TorchSharp as a Cake Addin
#addin nuget:?package=TorchSharp&version=0.96.6

// Install TorchSharp as a Cake Tool
#tool nuget:?package=TorchSharp&version=0.96.6
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

.NET Bindings for Torch. Requires reference to one of libtorch-cpu, libtorch-cuda-11.3, libtorch-cuda-11.3-win-x64 or libtorch-cuda-11.3-linux-x64 version 1.10.0.1 to execute.

Product Versions
.NET net5.0 net5.0-windows net6.0 net6.0-android net6.0-ios net6.0-maccatalyst net6.0-macos net6.0-tvos net6.0-windows
.NET Core netcoreapp2.0 netcoreapp2.1 netcoreapp2.2 netcoreapp3.0 netcoreapp3.1
.NET Standard netstandard2.0 netstandard2.1
.NET Framework net461 net462 net463 net47 net471 net472 net48
MonoAndroid monoandroid
MonoMac monomac
MonoTouch monotouch
Tizen tizen40 tizen60
Xamarin.iOS xamarinios
Xamarin.Mac xamarinmac
Xamarin.TVOS xamarintvos
Xamarin.WatchOS xamarinwatchos
Compatible target framework(s)
Additional computed target framework(s)
Learn more about Target Frameworks and .NET Standard.
  • .NETCoreApp 3.1

    • No dependencies.
  • .NETStandard 2.0

    • No dependencies.

NuGet packages (7)

Showing the top 5 NuGet packages that depend on TorchSharp:

Package Downloads
DiffSharp.Backends.Torch

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/

TorchSharp-cuda-windows

TorchSharp makes PyTorch available for .NET users. This package combines the TorchSharp package with LibTorch 1.10.0 CUDA 11.3 support for Windows.

TorchSharp-cuda-linux

TorchSharp makes PyTorch available for .NET users. This package combines the TorchSharp package with LibTorch 1.10.0 CUDA 11.3 support for Linux.

TorchSharp-cpu

TorchSharp makes PyTorch available for .NET users. This package combines the TorchSharp package with LibTorch 1.10.0 CPU support.

TsBERT

BERT model in TorchSharp with the ability to load pre-trained weights from Google BERT checkpoints. This model produces a single value per input sequence - suitable for tasks such as text classification.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
0.96.6 56 5/14/2022
0.96.5 402 4/19/2022
0.96.4 106 4/19/2022
0.96.3 632 2/23/2022
0.96.1 224 2/22/2022
0.96.0 1,687 2/3/2022
0.95.4 988 12/3/2021
0.95.3 819 11/15/2021
0.95.2 812 11/10/2021
0.95.1 753 11/6/2021
0.93.9 808 10/29/2021
0.93.8 1,011 10/25/2021
0.93.6 1,019 10/20/2021
0.93.5 2,451 10/8/2021
0.93.4 1,079 10/7/2021
0.93.3 897 10/6/2021
0.93.1 200 9/30/2021
0.93.0 194 9/29/2021
0.92.52220 260 9/14/2021
0.91.52719 2,194 7/24/2021
0.91.52681 3,538 6/23/2021
0.91.52680 265 6/22/2021
0.91.52672 292 6/22/2021
0.91.52666 291 6/21/2021
0.91.52661 176 6/20/2021
0.91.52660 194 6/20/2021
0.91.52621 210 6/16/2021
0.91.52604 227 5/27/2021
0.91.52577 228 5/10/2021
0.91.52573 171 5/10/2021
0.91.52518 3,496 3/25/2021
0.91.52511 194 3/25/2021
0.91.52508 171 3/25/2021
0.91.52506 200 3/25/2021
0.91.52502 195 3/25/2021
0.91.52475 185 3/24/2021
0.91.52458 748 3/23/2021
0.91.52214-preview-local-Re... 110 9/2/2021
0.9.52445 213 3/19/2021
0.3.52431 218 3/19/2021
0.3.52428 206 3/19/2021
0.3.52423 171 3/18/2021
0.3.52363 772 12/3/2020
0.3.52357 1,773 11/30/2020
0.3.52353 643 11/26/2020
0.3.52348 802 11/20/2020
0.3.52345 232 11/20/2020
0.3.52338 1,069 11/13/2020
0.3.52320 943 11/11/2020
0.3.52318 243 11/11/2020
0.3.52312 248 11/11/2020
0.3.52293 593 11/6/2020
0.3.52276 6,611 9/15/2020
0.3.52267 2,964 6/29/2020
0.3.52264 311 6/27/2020
0.3.52259 356 6/25/2020
0.3.52253 298 6/12/2020
0.3.52249 492 6/8/2020
0.3.52235 352 6/3/2020
0.3.52229 255 6/3/2020
0.3.52216 442 5/24/2020
0.3.52209 439 5/22/2020
0.2.0-preview-27930-2 508 7/31/2019
0.2.0-preview-27915-4 403 7/16/2019
0.2.0-preview-27912-2 326 7/12/2019
0.2.0-preview-27829-1 314 7/5/2019
0.1.0 813 11/13/2018