DiffSharp.Backends.Torch 1.0.0-preview-368681212

This is a prerelease version of DiffSharp.Backends.Torch.
There is a newer version of this package available.
See the version list below for details.
dotnet add package DiffSharp.Backends.Torch --version 1.0.0-preview-368681212
                    
NuGet\Install-Package DiffSharp.Backends.Torch -Version 1.0.0-preview-368681212
                    
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="DiffSharp.Backends.Torch" Version="1.0.0-preview-368681212" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="DiffSharp.Backends.Torch" Version="1.0.0-preview-368681212" />
                    
Directory.Packages.props
<PackageReference Include="DiffSharp.Backends.Torch" />
                    
Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package.
paket add DiffSharp.Backends.Torch --version 1.0.0-preview-368681212
                    
#r "nuget: DiffSharp.Backends.Torch, 1.0.0-preview-368681212"
                    
#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.
#:package DiffSharp.Backends.Torch@1.0.0-preview-368681212
                    
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package.
#addin nuget:?package=DiffSharp.Backends.Torch&version=1.0.0-preview-368681212&prerelease
                    
Install as a Cake Addin
#tool nuget:?package=DiffSharp.Backends.Torch&version=1.0.0-preview-368681212&prerelease
                    
Install as a Cake Tool

Package Description

Product 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.  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 netcoreapp3.1 is compatible. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (6)

Showing the top 5 NuGet packages that depend on DiffSharp.Backends.Torch:

Package Downloads
DiffSharp-cuda-windows

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/

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/

DiffSharp-cpu

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/

DiffSharp-lite

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/

FAkka.Mathnet.Symbolic.withTensorSupported

Package Description

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last Updated
1.0.7 6,557 3/26/2022
1.0.7-preview2044360861 624 3/26/2022
1.0.7-preview1873603133 685 2/21/2022
1.0.7-preview1872895008 674 2/20/2022
1.0.7-preview1872194677 676 2/20/2022
1.0.7-preview1867437105 654 2/19/2022
1.0.7-preview1838897476 655 2/14/2022
1.0.7-preview1838869913 656 2/14/2022
1.0.6 6,903 2/9/2022
1.0.6-preview1838805210 658 2/14/2022
1.0.6-preview1838790927 731 2/14/2022
1.0.6-preview1838781533 662 2/14/2022
1.0.6-preview1838761310 686 2/14/2022
1.0.6-preview1838574327 746 2/14/2022
1.0.6-preview1838238393 689 2/13/2022
1.0.6-preview1837967313 720 2/13/2022
1.0.6-preview1837932839 490 2/13/2022
1.0.6-preview1837857091 485 2/13/2022
1.0.5 3,834 2/9/2022
1.0.4 3,997 2/8/2022
1.0.3 5,089 2/8/2022
1.0.2 4,209 2/8/2022
1.0.1 5,065 11/8/2021
1.0.0-preview-987646120 821 6/30/2021
1.0.0-preview-964642900 790 6/23/2021
1.0.0-preview-964597118 611 6/23/2021
1.0.0-preview-964532207 690 6/23/2021
1.0.0-preview-964414624 691 6/23/2021
1.0.0-preview-962665709 546 6/23/2021
1.0.0-preview-961120541 586 6/22/2021
1.0.0-preview-958984202 626 6/22/2021
1.0.0-preview-783523654 773 4/25/2021
1.0.0-preview-783503343 682 4/25/2021
1.0.0-preview-783410550 711 4/25/2021
1.0.0-preview-781810429 655 4/25/2021
1.0.0-preview-775752139 745 4/22/2021
1.0.0-preview-774228953 713 4/22/2021
1.0.0-preview-769092916 694 4/21/2021
1.0.0-preview-768013090 671 4/20/2021
1.0.0-preview-762002995 664 4/19/2021
1.0.0-preview-761040762 727 4/18/2021
1.0.0-preview-761018834 731 4/18/2021
1.0.0-preview-756065403 630 4/16/2021
1.0.0-preview-755638011 658 4/16/2021
1.0.0-preview-752421465 693 4/15/2021
1.0.0-preview-748176085 686 4/14/2021
1.0.0-preview-746203897 661 4/13/2021
1.0.0-preview-746138300 687 4/13/2021
1.0.0-preview-745205599 643 4/13/2021
1.0.0-preview-739671157 670 4/12/2021
1.0.0-preview-712483117 681 4/2/2021
1.0.0-preview-699281085 625 3/29/2021
1.0.0-preview-699125312 679 3/29/2021
1.0.0-preview-698458610 725 3/29/2021
1.0.0-preview-697743517 735 3/29/2021
1.0.0-preview-697665469 673 3/29/2021
1.0.0-preview-690194555 678 3/26/2021
1.0.0-preview-688124591 662 3/25/2021
1.0.0-preview-687886352 656 3/25/2021
1.0.0-preview-681551353 674 3/24/2021
1.0.0-preview-681104545 712 3/23/2021
1.0.0-preview-680643606 743 3/23/2021
1.0.0-preview-679950457 681 3/23/2021
1.0.0-preview-669022451 687 3/19/2021
1.0.0-preview-643151273 580 3/11/2021
1.0.0-preview-633398743 649 3/8/2021
1.0.0-preview-633348953 683 3/8/2021
1.0.0-preview-621803110 724 3/4/2021
1.0.0-preview-611561611 710 3/1/2021
1.0.0-preview-611172961 628 3/1/2021
1.0.0-preview-593196134 597 2/23/2021
1.0.0-preview-589424126 645 2/22/2021
1.0.0-preview-589402583 672 2/22/2021
1.0.0-preview-586837684 627 2/21/2021
1.0.0-preview-586440747 682 2/21/2021
1.0.0-preview-498549439 679 1/20/2021
1.0.0-preview-485581354 722 1/14/2021
1.0.0-preview-392545720 788 11/30/2020
1.0.0-preview-392233243 735 11/30/2020
1.0.0-preview-392187079 803 11/30/2020
1.0.0-preview-390203270 725 11/29/2020
1.0.0-preview-387146713 825 11/27/2020
1.0.0-preview-386097798 860 11/26/2020
1.0.0-preview-385867359 862 11/26/2020
1.0.0-preview-385523380 741 11/26/2020
1.0.0-preview-384128234 854 11/25/2020
1.0.0-preview-374537774 813 11/20/2020
1.0.0-preview-374468367 705 11/20/2020
1.0.0-preview-368681212 770 11/17/2020
1.0.0-preview-368659044 863 11/17/2020
1.0.0-preview-364746088 892 11/15/2020
1.0.0-preview-364706087 826 11/15/2020
1.0.0-preview-363372268 743 11/14/2020
1.0.0-preview-362038354 790 11/13/2020
1.0.0-preview-362004577 781 11/13/2020
1.0.0-preview-361488593 728 11/13/2020
1.0.0-preview-360710530 769 11/13/2020
1.0.0-preview-359756455 761 11/12/2020
1.0.0-preview-358333968 819 11/11/2020
1.0.0-preview-358184921 818 11/11/2020
1.0.0-preview-358174946 787 11/11/2020
1.0.0-preview-349704450 878 11/6/2020
1.0.0-preview-349564717 860 11/6/2020
1.0.0-preview-343634015 872 11/3/2020
1.0.0-preview-343610434 778 11/3/2020
1.0.0-preview-328097867 1,083 10/26/2020
1.0.0-preview-322875134 824 10/22/2020
1.0.0-preview-315311536 766 10/19/2020
1.0.0-preview-309180753 809 10/15/2020
1.0.0-preview-309013019 843 10/15/2020
1.0.0-preview-308920132 753 10/15/2020
1.0.0-preview-308837132 824 10/15/2020
1.0.0-preview-308751690 780 10/15/2020
1.0.0-preview-308593840 796 10/15/2020
1.0.0-preview-299173506 881 10/10/2020
1.0.0-preview-292259854 885 10/6/2020
1.0.0-preview-291985511 831 10/6/2020
1.0.0-preview-291903007 804 10/6/2020
1.0.0-preview-291722399 831 10/6/2020
1.0.0-preview-284981464 780 10/2/2020
1.0.0-preview-284595614 768 10/2/2020
1.0.0-preview-280886714 838 9/30/2020
1.0.0-preview-278989673 781 9/29/2020
1.0.0-preview-277686264 781 9/29/2020
1.0.0-preview-277653295 790 9/29/2020
1.0.0-preview-275730148 853 9/28/2020
1.0.0-preview-275727262 820 9/28/2020
1.0.0-preview-267667710 871 9/22/2020
1.0.0-preview-263264614 878 9/20/2020
1.0.0-preview-263250971 897 9/20/2020
1.0.0-preview-262623253 764 9/19/2020
1.0.0-preview-258339834 811 9/16/2020
1.0.0-preview-258210544 835 9/16/2020
1.0.0-preview-258177528 881 9/16/2020
1.0.0-preview-258119380 881 9/16/2020
1.0.0-preview-256594931 833 9/16/2020
1.0.0-preview-256435175 901 9/15/2020
1.0.0-preview-253816091 804 9/14/2020
1.0.0-preview-253197654 823 9/14/2020
1.0.0-preview-247523274 764 9/10/2020
1.0.0-preview-247118168 852 9/9/2020
1.0.0-preview-246444372 894 9/9/2020
1.0.0-preview-246434361 853 9/9/2020
1.0.0-preview-246402060 773 9/9/2020
1.0.0-preview-245105781 784 9/8/2020
1.0.0-preview-244918410 854 9/8/2020
1.0.0-preview-243478925 771 9/7/2020
1.0.0-preview-243471084 822 9/7/2020
1.0.0-preview-243323135 914 9/7/2020
1.0.0-preview-1413494063 715 11/2/2021
1.0.0-preview-1405354284 653 10/31/2021
1.0.0-preview-1338129467 701 10/13/2021
1.0.0-preview-1327345305 794 10/11/2021
1.0.0-preview-1325686991 638 10/10/2021
1.0.0-preview-1324682939 788 10/10/2021
1.0.0-preview-1239345497 715 9/15/2021
1.0.0-preview-1227879651 694 9/13/2021
1.0.0-preview-1227810778 700 9/13/2021
1.0.0-preview-1222163389 693 9/10/2021
1.0.0-preview-1177844564 737 8/28/2021
1.0.0-preview-1176119659 646 8/28/2021
1.0.0-preview-1176116073 647 8/28/2021
1.0.0-preview-1176112166 617 8/28/2021
1.0.0-preview-1172193368 640 8/26/2021
1.0.0-preview-1168287221 625 8/25/2021
1.0.0-preview-1147185155 712 8/19/2021
1.0.0-preview-1133286135 759 8/15/2021
1.0.0-preview-1118120224 722 8/10/2021
1.0.0-preview-1111420036 639 8/9/2021
1.0.0-preview-1111385512 576 8/9/2021
1.0.0-preview-1111166736 634 8/9/2021
1.0.0-preview-1088380884 665 8/1/2021
1.0.0-preview-1088311063 667 8/1/2021
1.0.0-preview-1088021240 742 8/1/2021
1.0.0-preview-1083990424 688 7/31/2021
1.0.0-preview-1080710191 671 7/30/2021
1.0.0-preview-1080701269 693 7/30/2021
1.0.0-preview-1079028054 693 7/29/2021
1.0.0-preview-1079000079 697 7/29/2021
1.0.0-preview-1078977564 769 7/29/2021
1.0.0-preview-1069218438 605 7/26/2021
1.0.0-preview-1065692127 731 7/26/2021
1.0.0-preview-1054554829 648 7/22/2021
1.0.0-preview-1054460177 702 7/22/2021
1.0.0-preview-1044919966 697 7/19/2021
1.0.0-preview-1043697034 591 7/19/2021
1.0.0-preview-1001211231 685 7/5/2021
1.0.0-preview-1001204475 679 7/5/2021
0.9.5-preview-243240046 901 9/7/2020
0.9.5-preview-243219862 962 9/7/2020