See the version list below for details.
dotnet add package ManagedCuda-NVRTC --version 8.0.13
NuGet\Install-Package ManagedCuda-NVRTC -Version 8.0.13
<PackageReference Include="ManagedCuda-NVRTC" Version="8.0.13" />
paket add ManagedCuda-NVRTC --version 8.0.13
#r "nuget: ManagedCuda-NVRTC, 8.0.13"
// Install ManagedCuda-NVRTC as a Cake Addin #addin nuget:?package=ManagedCuda-NVRTC&version=8.0.13 // Install ManagedCuda-NVRTC as a Cake Tool #tool nuget:?package=ManagedCuda-NVRTC&version=8.0.13
managedCuda-wrapper for NVRTC, only for x64-platform
|.NET Framework||net40 net403 net45 net451 net452 net46 net461 net462 net463 net47 net471 net472 net48|
- ManagedCuda-80 (>= 8.0.13)
NuGet packages (2)
Showing the top 2 NuGet packages that depend on ManagedCuda-NVRTC:
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.
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:
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 and so on.