ILGPU 1.0.0-beta3
See the version list below for details.
dotnet add package ILGPU --version 1.0.0-beta3
NuGet\Install-Package ILGPU -Version 1.0.0-beta3
<PackageReference Include="ILGPU" Version="1.0.0-beta3" />
<PackageVersion Include="ILGPU" Version="1.0.0-beta3" />
<PackageReference Include="ILGPU" />
paket add ILGPU --version 1.0.0-beta3
#r "nuget: ILGPU, 1.0.0-beta3"
#:package ILGPU@1.0.0-beta3
#addin nuget:?package=ILGPU&version=1.0.0-beta3&prerelease
#tool nuget:?package=ILGPU&version=1.0.0-beta3&prerelease
ILGPU compiler and runtime library for convenient and high-performance GPU programming in .Net.
            Samples can be found in the GitHub repository: https://github.com/m4rs-mt/ILGPU.Samples
| Product | Versions Compatible and additional computed target framework versions. | 
|---|---|
| .NET | net5.0 is compatible. 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. 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. | 
| .NET Core | netcoreapp3.0 was computed. netcoreapp3.1 was computed. | 
| .NET Standard | netstandard2.1 is compatible. | 
| .NET Framework | net47 is compatible. net471 was computed. net472 was computed. net48 was computed. net481 was computed. | 
| 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. | 
- 
                                                    
.NETFramework 4.7
- System.Collections.Immutable (>= 1.7.0)
 - System.Memory (>= 4.5.4)
 - System.Reflection.Metadata (>= 1.8.0)
 - System.Runtime.CompilerServices.Unsafe (>= 4.7.1)
 
 - 
                                                    
.NETStandard 2.1
- System.Collections.Immutable (>= 1.7.0)
 - System.Memory (>= 4.5.4)
 - System.Reflection.Metadata (>= 1.8.0)
 - System.Runtime.CompilerServices.Unsafe (>= 4.7.1)
 
 - 
                                                    
net5.0
- System.Collections.Immutable (>= 1.7.0)
 - System.Memory (>= 4.5.4)
 - System.Reflection.Metadata (>= 1.8.0)
 - System.Runtime.CompilerServices.Unsafe (>= 4.7.1)
 
 
NuGet packages (24)
Showing the top 5 NuGet packages that depend on ILGPU:
| Package | Downloads | 
|---|---|
| 
                                                        
                                                            ILGPU.Algorithms
                                                        
                                                         ILGPU Algorithms library for high-level GPU programming. Samples can be found in the GitHub repository: https://github.com/m4rs-mt/ILGPU/tree/master/Samples  | 
                                                    |
| 
                                                        
                                                            ParallelReverseAutoDiff
                                                        
                                                         A library for parallelized reverse mode automatic differentiation in C# for custom neural network development.  | 
                                                    |
| 
                                                        
                                                            FonsecaFramework.GPU
                                                        
                                                         C# to Native GPU library  | 
                                                    |
| 
                                                        
                                                            ILGPU.Lightning
                                                        
                                                         ILGPU Lightning library for high-level GPU programming. Samples can be found in the GitHub repository: https://github.com/m4rs-mt/ILGPU.Samples  | 
                                                    |
| 
                                                        
                                                            VI.Neural
                                                        
                                                         Package Description  | 
                                                    
GitHub repositories (2)
Showing the top 2 popular GitHub repositories that depend on ILGPU:
| Repository | Stars | 
|---|---|
| 
                                                        
                                                            b-editor/beutl
                                                        
                                                         
                                                            Cross-platform video editing (compositing) software.
                                                         
                                                     | 
                                                    |
| 
                                                        
                                                            VedAstro/VedAstro
                                                        
                                                         
                                                            A non-profit, open source project to make Vedic Astrology easily available to all.
                                                         
                                                     | 
                                                    
| Version | Downloads | Last Updated | 
|---|---|---|
| 1.5.3 | 8,480 | 7/12/2025 | 
| 1.5.2 | 12,453 | 3/6/2025 | 
| 1.5.1 | 80,926 | 9/13/2023 | 
| 1.5.0 | 17,124 | 8/23/2023 | 
| 1.5.0-beta1 | 1,090 | 7/21/2023 | 
| 1.4.0 | 31,393 | 5/18/2023 | 
| 1.4.0-rc2 | 388 | 5/2/2023 | 
| 1.4.0-rc1 | 619 | 3/19/2023 | 
| 1.3.1 | 7,979 | 12/27/2022 | 
| 1.3.0 | 58,796 | 11/27/2022 | 
| 1.3.0-beta2 | 489 | 10/24/2022 | 
| 1.3.0-beta1 | 450 | 9/1/2022 | 
| 1.2.0 | 55,793 | 5/29/2022 | 
| 1.2.0-beta1 | 529 | 4/7/2022 | 
| 1.1.0 | 33,422 | 3/23/2022 | 
| 1.1.0-rc1 | 525 | 2/24/2022 | 
| 1.1.0-beta1 | 642 | 1/28/2022 | 
| 1.0.0 | 33,383 | 12/1/2021 | 
| 1.0.0-rc3 | 849 | 11/22/2021 | 
| 1.0.0-rc2 | 1,176 | 10/12/2021 | 
| 1.0.0-rc1 | 1,657 | 9/10/2021 | 
| 1.0.0-beta3 | 1,472 | 8/2/2021 | 
| 1.0.0-beta2 | 627 | 7/2/2021 | 
| 1.0.0-beta1 | 633 | 5/25/2021 | 
| 0.10.1 | 46,507 | 4/6/2021 | 
| 0.10.0 | 19,432 | 2/14/2021 | 
| 0.10.0-beta2 | 1,188 | 1/23/2021 | 
| 0.10.0-beta1 | 1,018 | 12/9/2020 | 
| 0.9.2 | 6,450 | 11/22/2020 | 
| 0.9.2-beta1 | 1,258 | 11/1/2020 | 
| 0.9.1 | 5,437 | 10/1/2020 | 
| 0.9.1-beta1 | 835 | 9/21/2020 | 
| 0.9.0 | 3,531 | 8/16/2020 | 
| 0.9.0-beta1 | 1,260 | 7/26/2020 | 
| 0.8.1.1 | 3,266 | 7/3/2020 | 
| 0.8.1-beta1 | 1,009 | 6/21/2020 | 
| 0.8.0 | 2,535 | 5/15/2020 | 
| 0.8.0-beta3 | 817 | 5/4/2020 | 
| 0.8.0-beta2 | 841 | 4/26/2020 | 
| 0.8.0-beta1 | 962 | 3/10/2020 | 
| 0.7.1 | 5,139 | 1/26/2020 | 
| 0.7.0 | 1,480 | 11/30/2019 | 
| 0.6.0 | 4,669 | 7/22/2019 | 
| 0.5.1 | 3,753 | 3/24/2019 | 
| 0.5.0 | 2,882 | 2/2/2019 | 
| 0.5.0-beta | 1,689 | 12/24/2018 | 
| 0.4.0-beta | 1,092 | 11/5/2018 | 
| 0.3.0 | 15,118 | 4/1/2018 | 
| 0.2.1 | 12,911 | 12/1/2017 | 
| 0.2.0 | 8,715 | 11/1/2017 | 
| 0.1.4 | 9,608 | 8/1/2017 | 
| 0.1.3 | 8,654 | 7/1/2017 | 
| 0.1.2 | 8,045 | 6/11/2017 | 
| 0.1.1 | 7,416 | 5/21/2017 |