TorchSharp-cuda-linux
0.105.0
dotnet add package TorchSharp-cuda-linux --version 0.105.0
NuGet\Install-Package TorchSharp-cuda-linux -Version 0.105.0
<PackageReference Include="TorchSharp-cuda-linux" Version="0.105.0" />
<PackageVersion Include="TorchSharp-cuda-linux" Version="0.105.0" />
<PackageReference Include="TorchSharp-cuda-linux" />
paket add TorchSharp-cuda-linux --version 0.105.0
#r "nuget: TorchSharp-cuda-linux, 0.105.0"
#addin nuget:?package=TorchSharp-cuda-linux&version=0.105.0
#tool nuget:?package=TorchSharp-cuda-linux&version=0.105.0
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 (>= 0.105.0)
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 | |
---|---|---|---|
0.105.0 | 921 | 12/12/2024 | |
0.104.0 | 339 | 12/5/2024 | |
0.103.1 | 1,827 | 10/24/2024 | |
0.103.0 | 2,280 | 8/6/2024 | |
0.102.8 | 504 | 8/1/2024 | |
0.102.7 | 448 | 7/17/2024 | |
0.102.6 | 711 | 6/20/2024 | |
0.102.5 | 436 | 6/7/2024 | |
0.102.4 | 664 | 4/17/2024 | |
0.102.3 | 817 | 3/26/2024 | |
0.102.2 | 583 | 3/5/2024 | |
0.102.1 | 505 | 3/5/2024 | |
0.102.0 | 655 | 2/27/2024 | |
0.101.6 | 616 | 2/9/2024 | |
0.101.5 | 552 | 12/20/2023 | |
0.101.4 | 711 | 12/15/2023 | |
0.101.3 | 611 | 12/13/2023 | |
0.101.2 | 509 | 11/14/2023 | |
0.101.1 | 334 | 11/2/2023 | |
0.101.0 | 469 | 11/2/2023 | |
0.100.7 | 468 | 10/25/2023 | |
0.100.6 | 417 | 10/19/2023 | |
0.100.5 | 745 | 9/21/2023 | |
0.100.4 | 539 | 8/14/2023 | |
0.100.3 | 835 | 6/25/2023 | |
0.100.2 | 388 | 6/14/2023 | |
0.100.1 | 270 | 6/5/2023 | |
0.100.0 | 1,341 | 5/15/2023 | |
0.99.6 | 1,022 | 4/28/2023 | |
0.99.5 | 1,399 | 4/26/2023 | |
0.99.4 | 1,397 | 4/4/2023 | |
0.99.3 | 1,244 | 2/22/2023 | |
0.99.2 | 1,795 | 1/17/2023 | |
0.99.1 | 1,947 | 11/30/2022 | |
0.99.0 | 2,125 | 11/8/2022 | |
0.98.3 | 2,227 | 11/2/2022 | |
0.98.2 | 2,307 | 11/1/2022 | |
0.98.1 | 2,080 | 10/13/2022 | |
0.98.0 | 1,874 | 10/4/2022 | |
0.97.6 | 2,718 | 9/16/2022 | |
0.97.5 | 2,452 | 9/13/2022 | |
0.97.4 | 2,071 | 9/12/2022 | |
0.97.3 | 2,226 | 8/17/2022 | |
0.97.2 | 2,470 | 8/9/2022 | |
0.97.1 | 2,298 | 8/2/2022 | |
0.97.0 | 2,434 | 7/20/2022 | |
0.96.8 | 2,297 | 6/21/2022 | |
0.96.7 | 2,625 | 6/2/2022 | |
0.96.6 | 3,229 | 5/14/2022 | |
0.96.5 | 2,070 | 4/19/2022 | |
0.96.4 | 3,203 | 4/19/2022 | |
0.96.3 | 3,324 | 2/23/2022 | |
0.96.1 | 3,077 | 2/22/2022 | |
0.96.0 | 12,111 | 2/3/2022 | |
0.95.4 | 3,088 | 12/3/2021 | |
0.95.3 | 3,788 | 11/15/2021 | |
0.95.2 | 2,819 | 11/10/2021 | |
0.95.1 | 2,446 | 11/6/2021 | |
0.95.0 | 2,511 | 11/5/2021 | |
0.93.9 | 3,090 | 10/29/2021 | |
0.93.8 | 3,860 | 10/25/2021 | |
0.93.6 | 3,093 | 10/20/2021 | |
0.93.5 | 6,417 | 10/8/2021 | |
0.93.4 | 3,370 | 10/7/2021 | |
0.93.3 | 3,817 | 10/6/2021 |