TorchSharp-cuda-linux
0.105.2
dotnet add package TorchSharp-cuda-linux --version 0.105.2
NuGet\Install-Package TorchSharp-cuda-linux -Version 0.105.2
<PackageReference Include="TorchSharp-cuda-linux" Version="0.105.2" />
<PackageVersion Include="TorchSharp-cuda-linux" Version="0.105.2" />
<PackageReference Include="TorchSharp-cuda-linux" />
paket add TorchSharp-cuda-linux --version 0.105.2
#r "nuget: TorchSharp-cuda-linux, 0.105.2"
#:package TorchSharp-cuda-linux@0.105.2
#addin nuget:?package=TorchSharp-cuda-linux&version=0.105.2
#tool nuget:?package=TorchSharp-cuda-linux&version=0.105.2
TorchSharp makes PyTorch available for .NET users. This package combines the TorchSharp package with LibTorch 2.7.1 CUDA 12.8 support for Linux.
| 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-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. |
-
net6.0
- libtorch-cuda-12.8-linux-x64 (>= 2.7.1)
- TorchSharp (>= 0.105.2)
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/ |
|
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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 | |
|---|---|---|---|
| 0.105.2 | 601 | 12/11/2025 | |
| 0.105.1 | 1,263 | 7/2/2025 | |
| 0.105.0 | 1,799 | 12/12/2024 | |
| 0.104.0 | 984 | 12/5/2024 | |
| 0.103.1 | 2,059 | 10/24/2024 | |
| 0.103.0 | 2,485 | 8/6/2024 | |
| 0.102.8 | 726 | 8/1/2024 | |
| 0.102.7 | 744 | 7/17/2024 | |
| 0.102.6 | 938 | 6/20/2024 | |
| 0.102.5 | 669 | 6/7/2024 | |
| 0.102.4 | 942 | 4/17/2024 | |
| 0.102.3 | 1,055 | 3/26/2024 | |
| 0.102.2 | 866 | 3/5/2024 | |
| 0.102.1 | 753 | 3/5/2024 | |
| 0.102.0 | 878 | 2/27/2024 | |
| 0.101.6 | 852 | 2/9/2024 | |
| 0.101.5 | 800 | 12/20/2023 | |
| 0.101.4 | 929 | 12/15/2023 | |
| 0.101.3 | 842 | 12/13/2023 | |
| 0.101.2 | 692 | 11/14/2023 | |
| 0.101.1 | 526 | 11/2/2023 | |
| 0.101.0 | 631 | 11/2/2023 | |
| 0.100.7 | 649 | 10/25/2023 | |
| 0.100.6 | 620 | 10/19/2023 | |
| 0.100.5 | 961 | 9/21/2023 | |
| 0.100.4 | 755 | 8/14/2023 | |
| 0.100.3 | 1,198 | 6/25/2023 | |
| 0.100.2 | 584 | 6/14/2023 | |
| 0.100.1 | 466 | 6/5/2023 | |
| 0.100.0 | 1,565 | 5/15/2023 | |
| 0.99.6 | 1,247 | 4/28/2023 | |
| 0.99.5 | 1,633 | 4/26/2023 | |
| 0.99.4 | 1,590 | 4/4/2023 | |
| 0.99.3 | 1,445 | 2/22/2023 | |
| 0.99.2 | 2,008 | 1/17/2023 | |
| 0.99.1 | 2,169 | 11/30/2022 | |
| 0.99.0 | 2,353 | 11/8/2022 | |
| 0.98.3 | 2,439 | 11/2/2022 | |
| 0.98.2 | 2,535 | 11/1/2022 | |
| 0.98.1 | 2,289 | 10/13/2022 | |
| 0.98.0 | 2,094 | 10/4/2022 | |
| 0.97.6 | 2,930 | 9/16/2022 | |
| 0.97.5 | 2,683 | 9/13/2022 | |
| 0.97.4 | 2,291 | 9/12/2022 | |
| 0.97.3 | 2,429 | 8/17/2022 | |
| 0.97.2 | 2,723 | 8/9/2022 | |
| 0.97.1 | 2,536 | 8/2/2022 | |
| 0.97.0 | 2,669 | 7/20/2022 | |
| 0.96.8 | 2,545 | 6/21/2022 | |
| 0.96.7 | 2,858 | 6/2/2022 | |
| 0.96.6 | 3,441 | 5/14/2022 | |
| 0.96.5 | 2,311 | 4/19/2022 | |
| 0.96.4 | 3,434 | 4/19/2022 | |
| 0.96.3 | 3,579 | 2/23/2022 | |
| 0.96.1 | 3,306 | 2/22/2022 | |
| 0.96.0 | 13,059 | 2/3/2022 | |
| 0.95.4 | 3,317 | 12/3/2021 | |
| 0.95.3 | 4,027 | 11/15/2021 | |
| 0.95.2 | 3,047 | 11/10/2021 | |
| 0.95.1 | 2,659 | 11/6/2021 | |
| 0.95.0 | 2,969 | 11/5/2021 | |
| 0.93.9 | 3,345 | 10/29/2021 | |
| 0.93.8 | 4,089 | 10/25/2021 | |
| 0.93.6 | 3,329 | 10/20/2021 | |
| 0.93.5 | 6,718 | 10/8/2021 | |
| 0.93.4 | 3,646 | 10/7/2021 | |
| 0.93.3 | 4,057 | 10/6/2021 |