TorchSharp-cuda-linux
0.105.1
dotnet add package TorchSharp-cuda-linux --version 0.105.1
NuGet\Install-Package TorchSharp-cuda-linux -Version 0.105.1
<PackageReference Include="TorchSharp-cuda-linux" Version="0.105.1" />
<PackageVersion Include="TorchSharp-cuda-linux" Version="0.105.1" />
<PackageReference Include="TorchSharp-cuda-linux" />
paket add TorchSharp-cuda-linux --version 0.105.1
#r "nuget: TorchSharp-cuda-linux, 0.105.1"
#addin nuget:?package=TorchSharp-cuda-linux&version=0.105.1
#tool nuget:?package=TorchSharp-cuda-linux&version=0.105.1
TorchSharp makes PyTorch available for .NET users. This package combines the TorchSharp package with LibTorch 2.5.1 CUDA 12.1 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-12.1-linux-x64 (>= 2.5.1)
- TorchSharp (>= 0.105.1)
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 | 5 | 7/2/2025 | |
0.105.0 | 1,156 | 12/12/2024 | |
0.104.0 | 348 | 12/5/2024 | |
0.103.1 | 1,839 | 10/24/2024 | |
0.103.0 | 2,296 | 8/6/2024 | |
0.102.8 | 521 | 8/1/2024 | |
0.102.7 | 458 | 7/17/2024 | |
0.102.6 | 719 | 6/20/2024 | |
0.102.5 | 450 | 6/7/2024 | |
0.102.4 | 693 | 4/17/2024 | |
0.102.3 | 827 | 3/26/2024 | |
0.102.2 | 616 | 3/5/2024 | |
0.102.1 | 519 | 3/5/2024 | |
0.102.0 | 667 | 2/27/2024 | |
0.101.6 | 630 | 2/9/2024 | |
0.101.5 | 567 | 12/20/2023 | |
0.101.4 | 720 | 12/15/2023 | |
0.101.3 | 618 | 12/13/2023 | |
0.101.2 | 516 | 11/14/2023 | |
0.101.1 | 339 | 11/2/2023 | |
0.101.0 | 474 | 11/2/2023 | |
0.100.7 | 483 | 10/25/2023 | |
0.100.6 | 424 | 10/19/2023 | |
0.100.5 | 758 | 9/21/2023 | |
0.100.4 | 548 | 8/14/2023 | |
0.100.3 | 860 | 6/25/2023 | |
0.100.2 | 399 | 6/14/2023 | |
0.100.1 | 281 | 6/5/2023 | |
0.100.0 | 1,353 | 5/15/2023 | |
0.99.6 | 1,036 | 4/28/2023 | |
0.99.5 | 1,413 | 4/26/2023 | |
0.99.4 | 1,409 | 4/4/2023 | |
0.99.3 | 1,256 | 2/22/2023 | |
0.99.2 | 1,808 | 1/17/2023 | |
0.99.1 | 1,958 | 11/30/2022 | |
0.99.0 | 2,135 | 11/8/2022 | |
0.98.3 | 2,236 | 11/2/2022 | |
0.98.2 | 2,318 | 11/1/2022 | |
0.98.1 | 2,091 | 10/13/2022 | |
0.98.0 | 1,886 | 10/4/2022 | |
0.97.6 | 2,729 | 9/16/2022 | |
0.97.5 | 2,462 | 9/13/2022 | |
0.97.4 | 2,087 | 9/12/2022 | |
0.97.3 | 2,241 | 8/17/2022 | |
0.97.2 | 2,491 | 8/9/2022 | |
0.97.1 | 2,316 | 8/2/2022 | |
0.97.0 | 2,448 | 7/20/2022 | |
0.96.8 | 2,316 | 6/21/2022 | |
0.96.7 | 2,645 | 6/2/2022 | |
0.96.6 | 3,245 | 5/14/2022 | |
0.96.5 | 2,091 | 4/19/2022 | |
0.96.4 | 3,221 | 4/19/2022 | |
0.96.3 | 3,349 | 2/23/2022 | |
0.96.1 | 3,093 | 2/22/2022 | |
0.96.0 | 12,132 | 2/3/2022 | |
0.95.4 | 3,107 | 12/3/2021 | |
0.95.3 | 3,814 | 11/15/2021 | |
0.95.2 | 2,836 | 11/10/2021 | |
0.95.1 | 2,462 | 11/6/2021 | |
0.95.0 | 2,547 | 11/5/2021 | |
0.93.9 | 3,112 | 10/29/2021 | |
0.93.8 | 3,878 | 10/25/2021 | |
0.93.6 | 3,112 | 10/20/2021 | |
0.93.5 | 6,437 | 10/8/2021 | |
0.93.4 | 3,390 | 10/7/2021 | |
0.93.3 | 3,834 | 10/6/2021 |