ManagedCuda-NVRTC
11.4.47
.NET Core 3.1
.NET Framework 4.0
dotnet add package ManagedCuda-NVRTC --version 11.4.47
NuGet\Install-Package ManagedCuda-NVRTC -Version 11.4.47
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="ManagedCuda-NVRTC" Version="11.4.47" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add ManagedCuda-NVRTC --version 11.4.47
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: ManagedCuda-NVRTC, 11.4.47"
#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 ManagedCuda-NVRTC as a Cake Addin
#addin nuget:?package=ManagedCuda-NVRTC&version=11.4.47
// Install ManagedCuda-NVRTC as a Cake Tool
#tool nuget:?package=ManagedCuda-NVRTC&version=11.4.47
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
managedCuda-wrapper for NVRTC (Windows/Linux/.net Framework 4.x/.net Core 3.x)
Product | Versions |
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.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 net7.0 net7.0-android net7.0-ios net7.0-maccatalyst net7.0-macos net7.0-tvos net7.0-windows |
.NET Core | netcoreapp3.1 |
.NET Framework | net40 net403 net45 net451 net452 net46 net461 net462 net463 net47 net471 net472 net48 |
Compatible target framework(s)
Additional computed target framework(s)
Learn more about Target Frameworks and .NET Standard.
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.NETCoreApp 3.1
- No dependencies.
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.NETFramework 4.0
- No dependencies.
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All Frameworks
- ManagedCuda-11 (>= 11.4.47)
NuGet packages (2)
Showing the top 2 NuGet packages that depend on ManagedCuda-NVRTC:
Package | Downloads |
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DeepNet
Deep learning library for F#. Provides symbolic model differentiation, automatic differentiation and compilation to CUDA GPUs. Includes optimizers and model blocks used in deep learning. Make sure to set the platform of your project to x64. |
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TensorSharp.CUDA
A tensor libaray based on CUDA. It includes many operations and can be used for neural networks |
GitHub repositories (1)
Showing the top 1 popular GitHub repositories that depend on ManagedCuda-NVRTC:
Repository | Stars |
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zhongkaifu/Seq2SeqSharp
Seq2SeqSharp is a tensor based fast & flexible encoder-decoder deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, many different types of encoders/decoders(Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, x64, ARM) and so on.
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