TorchSharp-cuda-linux
0.96.0
See the version list below for details.
dotnet add package TorchSharp-cuda-linux --version 0.96.0
NuGet\Install-Package TorchSharp-cuda-linux -Version 0.96.0
<PackageReference Include="TorchSharp-cuda-linux" Version="0.96.0" />
<PackageVersion Include="TorchSharp-cuda-linux" Version="0.96.0" />
<PackageReference Include="TorchSharp-cuda-linux" />
paket add TorchSharp-cuda-linux --version 0.96.0
#r "nuget: TorchSharp-cuda-linux, 0.96.0"
#:package TorchSharp-cuda-linux@0.96.0
#addin nuget:?package=TorchSharp-cuda-linux&version=0.96.0
#tool nuget:?package=TorchSharp-cuda-linux&version=0.96.0
TorchSharp makes PyTorch available for .NET users. This package combines the TorchSharp package with LibTorch 1.10.0 CUDA 11.3 support for Linux.
| Product | Versions Compatible and additional computed target framework versions. |
|---|---|
| .NET | net5.0 was computed. 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. |
| .NET Core | netcoreapp3.1 is compatible. |
-
.NETCoreApp 3.1
- libtorch-cuda-11.3-linux-x64 (>= 1.10.0.1)
- TorchSharp (>= 0.96.0)
NuGet packages (3)
Showing the top 3 NuGet packages that depend on TorchSharp-cuda-linux:
| Package | Downloads |
|---|---|
|
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/ |
|
|
PointProcessDecoder.Cuda.Linux
A wrapper for TorchSharp-cuda-linux. Enables running the PointProcessDecoder package on the GPU on linux. |
|
|
Furnace-cuda-linux
Furnace is a Production-grade machine learning library bringing the power and precision of F# to Torch GPU acceleration |
GitHub repositories
This package is not used by any popular GitHub repositories.
| Version | Downloads | Last Updated | |
|---|---|---|---|
| 0.105.1 | 942 | 7/2/2025 | |
| 0.105.0 | 1,704 | 12/12/2024 | |
| 0.104.0 | 907 | 12/5/2024 | |
| 0.103.1 | 2,007 | 10/24/2024 | |
| 0.103.0 | 2,435 | 8/6/2024 | |
| 0.102.8 | 674 | 8/1/2024 | |
| 0.102.7 | 690 | 7/17/2024 | |
| 0.102.6 | 888 | 6/20/2024 | |
| 0.102.5 | 612 | 6/7/2024 | |
| 0.102.4 | 890 | 4/17/2024 | |
| 0.102.3 | 1,004 | 3/26/2024 | |
| 0.102.2 | 815 | 3/5/2024 | |
| 0.102.1 | 696 | 3/5/2024 | |
| 0.102.0 | 826 | 2/27/2024 | |
| 0.101.6 | 799 | 2/9/2024 | |
| 0.101.5 | 747 | 12/20/2023 | |
| 0.101.4 | 877 | 12/15/2023 | |
| 0.101.3 | 791 | 12/13/2023 | |
| 0.101.2 | 654 | 11/14/2023 | |
| 0.101.1 | 485 | 11/2/2023 | |
| 0.101.0 | 593 | 11/2/2023 | |
| 0.100.7 | 609 | 10/25/2023 | |
| 0.100.6 | 584 | 10/19/2023 | |
| 0.100.5 | 911 | 9/21/2023 | |
| 0.100.4 | 716 | 8/14/2023 | |
| 0.100.3 | 1,156 | 6/25/2023 | |
| 0.100.2 | 541 | 6/14/2023 | |
| 0.100.1 | 423 | 6/5/2023 | |
| 0.100.0 | 1,520 | 5/15/2023 | |
| 0.99.6 | 1,199 | 4/28/2023 | |
| 0.99.5 | 1,588 | 4/26/2023 | |
| 0.99.4 | 1,546 | 4/4/2023 | |
| 0.99.3 | 1,397 | 2/22/2023 | |
| 0.99.2 | 1,964 | 1/17/2023 | |
| 0.99.1 | 2,122 | 11/30/2022 | |
| 0.99.0 | 2,302 | 11/8/2022 | |
| 0.98.3 | 2,387 | 11/2/2022 | |
| 0.98.2 | 2,487 | 11/1/2022 | |
| 0.98.1 | 2,240 | 10/13/2022 | |
| 0.98.0 | 2,049 | 10/4/2022 | |
| 0.97.6 | 2,880 | 9/16/2022 | |
| 0.97.5 | 2,633 | 9/13/2022 | |
| 0.97.4 | 2,246 | 9/12/2022 | |
| 0.97.3 | 2,380 | 8/17/2022 | |
| 0.97.2 | 2,675 | 8/9/2022 | |
| 0.97.1 | 2,489 | 8/2/2022 | |
| 0.97.0 | 2,625 | 7/20/2022 | |
| 0.96.8 | 2,501 | 6/21/2022 | |
| 0.96.7 | 2,809 | 6/2/2022 | |
| 0.96.6 | 3,394 | 5/14/2022 | |
| 0.96.5 | 2,260 | 4/19/2022 | |
| 0.96.4 | 3,381 | 4/19/2022 | |
| 0.96.3 | 3,531 | 2/23/2022 | |
| 0.96.1 | 3,261 | 2/22/2022 | |
| 0.96.0 | 13,011 | 2/3/2022 | |
| 0.95.4 | 3,269 | 12/3/2021 | |
| 0.95.3 | 3,981 | 11/15/2021 | |
| 0.95.2 | 3,001 | 11/10/2021 | |
| 0.95.1 | 2,613 | 11/6/2021 | |
| 0.95.0 | 2,880 | 11/5/2021 | |
| 0.93.9 | 3,294 | 10/29/2021 | |
| 0.93.8 | 4,044 | 10/25/2021 | |
| 0.93.6 | 3,281 | 10/20/2021 | |
| 0.93.5 | 6,673 | 10/8/2021 | |
| 0.93.4 | 3,593 | 10/7/2021 | |
| 0.93.3 | 4,002 | 10/6/2021 |