ParallelReverseAutoDiff 1.0.0
There is a newer version of this package available.
See the version list below for details.
See the version list below for details.
dotnet add package ParallelReverseAutoDiff --version 1.0.0
NuGet\Install-Package ParallelReverseAutoDiff -Version 1.0.0
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="ParallelReverseAutoDiff" Version="1.0.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add ParallelReverseAutoDiff --version 1.0.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: ParallelReverseAutoDiff, 1.0.0"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install ParallelReverseAutoDiff as a Cake Addin
#addin nuget:?package=ParallelReverseAutoDiff&version=1.0.0
// Install ParallelReverseAutoDiff as a Cake Tool
#tool nuget:?package=ParallelReverseAutoDiff&version=1.0.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
ParallelReverseAutoDiff
Parallel Reverse Mode Automatic Differentiation in C#
ParallelAutoDiff is a thread-safe C# library for reverse mode automatic differentiation, optimized for parallel computation. It leverages semaphores and locks to coordinate between threads, ensuring accuracy during gradient accumulation. Each operation in the library is implemented as a node with a forward and a backward function, facilitating efficient calculation of derivatives. A unique aspect of this library is its use of the visitor pattern: it includes a specialized 'Neural Network Visitor' which traverses neural network nodes across different threads. This visitor is responsible for gradient accumulation on nodes shared across multiple threads. This design allows for parallelized computations while maintaining consistency and avoiding race conditions. The result is an efficient, scalable automatic differentiation solution, ideal for machine learning applications and neural network training.
| Product | Versions Compatible and additional computed target framework versions. |
|---|---|
| .NET | net5.0 was computed. net5.0-windows was computed. net6.0 was computed. 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. |
| .NET Core | netcoreapp3.0 was computed. netcoreapp3.1 was computed. |
| .NET Standard | netstandard2.1 is compatible. |
| MonoAndroid | monoandroid was computed. |
| MonoMac | monomac was computed. |
| MonoTouch | monotouch was computed. |
| Tizen | tizen60 was computed. |
| Xamarin.iOS | xamarinios was computed. |
| Xamarin.Mac | xamarinmac was computed. |
| Xamarin.TVOS | xamarintvos was computed. |
| Xamarin.WatchOS | xamarinwatchos was computed. |
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.
-
.NETStandard 2.1
- StyleCop.Analyzers (>= 1.1.118)
NuGet packages
This package is not used by any NuGet packages.
GitHub repositories
This package is not used by any popular GitHub repositories.
| Version | Downloads | Last updated | |
|---|---|---|---|
| 1.2.1 | 106 | 4/13/2024 | |
| 1.2.0 | 92 | 4/1/2024 | |
| 1.1.65 | 112 | 1/20/2024 | |
| 1.1.64 | 97 | 1/10/2024 | |
| 1.1.63 | 99 | 1/9/2024 | |
| 1.1.62 | 111 | 1/8/2024 | |
| 1.1.61 | 99 | 1/7/2024 | |
| 1.1.60 | 100 | 1/7/2024 | |
| 1.1.59 | 91 | 1/7/2024 | |
| 1.1.58 | 98 | 1/6/2024 | |
| 1.1.57 | 102 | 1/6/2024 | |
| 1.1.56 | 101 | 1/6/2024 | |
| 1.1.55 | 89 | 1/6/2024 | |
| 1.1.54 | 104 | 1/5/2024 | |
| 1.1.53 | 102 | 1/4/2024 | |
| 1.1.52 | 95 | 1/4/2024 | |
| 1.1.51 | 98 | 1/4/2024 | |
| 1.1.50 | 97 | 1/3/2024 | |
| 1.1.49 | 100 | 1/3/2024 | |
| 1.1.48 | 105 | 1/3/2024 | |
| 1.1.47 | 103 | 1/3/2024 | |
| 1.1.46 | 95 | 1/3/2024 | |
| 1.1.45 | 98 | 1/3/2024 | |
| 1.1.44 | 102 | 1/3/2024 | |
| 1.1.43 | 98 | 1/3/2024 | |
| 1.1.42 | 102 | 1/2/2024 | |
| 1.1.41 | 106 | 1/2/2024 | |
| 1.1.40 | 109 | 1/2/2024 | |
| 1.1.39 | 116 | 1/1/2024 | |
| 1.1.38 | 106 | 1/1/2024 | |
| 1.1.37 | 111 | 1/1/2024 | |
| 1.1.36 | 120 | 1/1/2024 | |
| 1.1.35 | 100 | 1/1/2024 | |
| 1.1.34 | 112 | 12/31/2023 | |
| 1.1.33 | 104 | 12/25/2023 | |
| 1.1.32 | 82 | 12/25/2023 | |
| 1.1.31 | 107 | 12/24/2023 | |
| 1.1.30 | 90 | 12/24/2023 | |
| 1.1.29 | 140 | 9/25/2023 | |
| 1.1.28 | 103 | 9/25/2023 | |
| 1.1.27 | 106 | 9/16/2023 | |
| 1.1.26 | 130 | 9/7/2023 | |
| 1.1.25 | 118 | 9/7/2023 | |
| 1.1.24 | 122 | 9/7/2023 | |
| 1.1.23 | 108 | 9/7/2023 | |
| 1.1.22 | 122 | 9/6/2023 | |
| 1.1.21 | 121 | 9/6/2023 | |
| 1.1.20 | 116 | 9/6/2023 | |
| 1.1.19 | 125 | 9/5/2023 | |
| 1.1.18 | 124 | 9/4/2023 | |
| 1.1.17 | 99 | 9/4/2023 | |
| 1.1.16 | 121 | 9/4/2023 | |
| 1.1.15 | 119 | 9/4/2023 | |
| 1.1.14 | 150 | 7/12/2023 | |
| 1.1.13 | 144 | 7/11/2023 | |
| 1.1.12 | 139 | 7/10/2023 | |
| 1.1.11 | 135 | 7/9/2023 | |
| 1.1.10 | 136 | 7/9/2023 | |
| 1.1.9 | 125 | 7/9/2023 | |
| 1.1.8 | 132 | 7/8/2023 | |
| 1.1.7 | 138 | 7/8/2023 | |
| 1.1.6 | 117 | 7/7/2023 | |
| 1.1.5 | 129 | 7/7/2023 | |
| 1.1.4 | 149 | 7/6/2023 | |
| 1.1.3 | 119 | 7/5/2023 | |
| 1.1.2 | 141 | 7/5/2023 | |
| 1.1.1 | 149 | 7/3/2023 | |
| 1.1.0 | 149 | 7/3/2023 | |
| 1.0.61 | 163 | 7/1/2023 | |
| 1.0.60 | 139 | 6/30/2023 | |
| 1.0.59 | 151 | 6/29/2023 | |
| 1.0.58 | 136 | 6/27/2023 | |
| 1.0.57 | 142 | 6/27/2023 | |
| 1.0.56 | 146 | 6/26/2023 | |
| 1.0.55 | 137 | 6/26/2023 | |
| 1.0.54 | 145 | 6/24/2023 | |
| 1.0.53 | 143 | 6/24/2023 | |
| 1.0.52 | 145 | 6/23/2023 | |
| 1.0.51 | 142 | 6/21/2023 | |
| 1.0.50 | 146 | 6/20/2023 | |
| 1.0.49 | 141 | 6/20/2023 | |
| 1.0.48 | 146 | 6/20/2023 | |
| 1.0.47 | 146 | 6/19/2023 | |
| 1.0.46 | 126 | 6/17/2023 | |
| 1.0.45 | 141 | 6/16/2023 | |
| 1.0.44 | 141 | 6/16/2023 | |
| 1.0.43 | 156 | 6/14/2023 | |
| 1.0.42 | 141 | 6/13/2023 | |
| 1.0.41 | 146 | 6/13/2023 | |
| 1.0.40 | 169 | 6/11/2023 | |
| 1.0.39 | 150 | 5/30/2023 | |
| 1.0.38 | 153 | 5/30/2023 | |
| 1.0.37 | 155 | 5/30/2023 | |
| 1.0.36 | 151 | 5/30/2023 | |
| 1.0.35 | 153 | 5/29/2023 | |
| 1.0.34 | 158 | 5/28/2023 | |
| 1.0.33 | 151 | 5/27/2023 | |
| 1.0.32 | 161 | 5/22/2023 | |
| 1.0.31 | 150 | 5/18/2023 | |
| 1.0.30 | 152 | 5/18/2023 | |
| 1.0.29 | 149 | 5/18/2023 | |
| 1.0.28 | 133 | 5/16/2023 | |
| 1.0.27 | 154 | 5/16/2023 | |
| 1.0.26 | 153 | 5/13/2023 | |
| 1.0.25 | 135 | 5/12/2023 | |
| 1.0.24 | 176 | 5/12/2023 | |
| 1.0.23 | 163 | 5/12/2023 | |
| 1.0.22 | 166 | 5/12/2023 | |
| 1.0.21 | 167 | 5/12/2023 | |
| 1.0.20 | 164 | 5/12/2023 | |
| 1.0.19 | 169 | 5/12/2023 | |
| 1.0.18 | 168 | 5/10/2023 | |
| 1.0.17 | 172 | 5/9/2023 | |
| 1.0.16 | 177 | 5/9/2023 | |
| 1.0.15 | 165 | 5/9/2023 | |
| 1.0.14 | 175 | 5/9/2023 | |
| 1.0.13 | 158 | 5/9/2023 | |
| 1.0.12 | 167 | 5/8/2023 | |
| 1.0.11 | 191 | 5/8/2023 | |
| 1.0.10 | 200 | 5/8/2023 | |
| 1.0.9 | 175 | 5/7/2023 | |
| 1.0.8 | 168 | 5/6/2023 | |
| 1.0.7 | 163 | 5/5/2023 | |
| 1.0.6 | 152 | 5/4/2023 | |
| 1.0.5 | 152 | 5/4/2023 | |
| 1.0.4 | 152 | 5/4/2023 | |
| 1.0.3 | 174 | 5/3/2023 | |
| 1.0.2 | 184 | 5/3/2023 | |
| 1.0.1 | 160 | 5/3/2023 | |
| 1.0.0 | 172 | 5/2/2023 |
First release of ParallelReverseAutoDiff.