DiffSharp.Backends.Torch 1.0.0-preview-275727262

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There is a newer version of this package available.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-275727262
                    
NuGet\Install-Package DiffSharp.Backends.Torch -Version 1.0.0-preview-275727262
                    
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-275727262" />
                    
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-275727262" />
                    
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-275727262
                    
#r "nuget: DiffSharp.Backends.Torch, 1.0.0-preview-275727262"
                    
#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-275727262
                    
#: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-275727262&prerelease
                    
Install as a Cake Addin
#tool nuget:?package=DiffSharp.Backends.Torch&version=1.0.0-preview-275727262&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 netcoreapp3.0 is compatible.  netcoreapp3.1 was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (5)

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 6,497 3/26/2022
1.0.7-preview2044360861 601 3/26/2022
1.0.7-preview1873603133 659 2/21/2022
1.0.7-preview1872895008 648 2/20/2022
1.0.7-preview1872194677 654 2/20/2022
1.0.7-preview1867437105 633 2/19/2022
1.0.7-preview1838897476 633 2/14/2022
1.0.7-preview1838869913 634 2/14/2022
1.0.6 6,868 2/9/2022
1.0.6-preview1838805210 632 2/14/2022
1.0.6-preview1838790927 709 2/14/2022
1.0.6-preview1838781533 632 2/14/2022
1.0.6-preview1838761310 662 2/14/2022
1.0.6-preview1838574327 720 2/14/2022
1.0.6-preview1838238393 657 2/13/2022
1.0.6-preview1837967313 693 2/13/2022
1.0.6-preview1837932839 463 2/13/2022
1.0.6-preview1837857091 463 2/13/2022
1.0.5 3,806 2/9/2022
1.0.4 3,972 2/8/2022
1.0.3 5,068 2/8/2022
1.0.2 4,186 2/8/2022
1.0.1 5,034 11/8/2021
1.0.0-preview-987646120 801 6/30/2021
1.0.0-preview-964642900 770 6/23/2021
1.0.0-preview-964597118 596 6/23/2021
1.0.0-preview-964532207 662 6/23/2021
1.0.0-preview-964414624 669 6/23/2021
1.0.0-preview-962665709 519 6/23/2021
1.0.0-preview-961120541 564 6/22/2021
1.0.0-preview-958984202 602 6/22/2021
1.0.0-preview-783523654 747 4/25/2021
1.0.0-preview-783503343 653 4/25/2021
1.0.0-preview-783410550 685 4/25/2021
1.0.0-preview-781810429 632 4/25/2021
1.0.0-preview-775752139 722 4/22/2021
1.0.0-preview-774228953 686 4/22/2021
1.0.0-preview-769092916 669 4/21/2021
1.0.0-preview-768013090 651 4/20/2021
1.0.0-preview-762002995 637 4/19/2021
1.0.0-preview-761040762 701 4/18/2021
1.0.0-preview-761018834 708 4/18/2021
1.0.0-preview-756065403 604 4/16/2021
1.0.0-preview-755638011 632 4/16/2021
1.0.0-preview-752421465 669 4/15/2021
1.0.0-preview-748176085 664 4/14/2021
1.0.0-preview-746203897 638 4/13/2021
1.0.0-preview-746138300 665 4/13/2021
1.0.0-preview-745205599 621 4/13/2021
1.0.0-preview-739671157 648 4/12/2021
1.0.0-preview-712483117 651 4/2/2021
1.0.0-preview-699281085 597 3/29/2021
1.0.0-preview-699125312 654 3/29/2021
1.0.0-preview-698458610 701 3/29/2021
1.0.0-preview-697743517 714 3/29/2021
1.0.0-preview-697665469 652 3/29/2021
1.0.0-preview-690194555 654 3/26/2021
1.0.0-preview-688124591 636 3/25/2021
1.0.0-preview-687886352 630 3/25/2021
1.0.0-preview-681551353 654 3/24/2021
1.0.0-preview-681104545 685 3/23/2021
1.0.0-preview-680643606 725 3/23/2021
1.0.0-preview-679950457 648 3/23/2021
1.0.0-preview-669022451 662 3/19/2021
1.0.0-preview-643151273 559 3/11/2021
1.0.0-preview-633398743 625 3/8/2021
1.0.0-preview-633348953 656 3/8/2021
1.0.0-preview-621803110 696 3/4/2021
1.0.0-preview-611561611 692 3/1/2021
1.0.0-preview-611172961 601 3/1/2021
1.0.0-preview-593196134 572 2/23/2021
1.0.0-preview-589424126 617 2/22/2021
1.0.0-preview-589402583 648 2/22/2021
1.0.0-preview-586837684 603 2/21/2021
1.0.0-preview-586440747 657 2/21/2021
1.0.0-preview-498549439 656 1/20/2021
1.0.0-preview-485581354 693 1/14/2021
1.0.0-preview-392545720 761 11/30/2020
1.0.0-preview-392233243 706 11/30/2020
1.0.0-preview-392187079 776 11/30/2020
1.0.0-preview-390203270 700 11/29/2020
1.0.0-preview-387146713 792 11/27/2020
1.0.0-preview-386097798 828 11/26/2020
1.0.0-preview-385867359 834 11/26/2020
1.0.0-preview-385523380 711 11/26/2020
1.0.0-preview-384128234 823 11/25/2020
1.0.0-preview-374537774 782 11/20/2020
1.0.0-preview-374468367 675 11/20/2020
1.0.0-preview-368681212 739 11/17/2020
1.0.0-preview-368659044 828 11/17/2020
1.0.0-preview-364746088 860 11/15/2020
1.0.0-preview-364706087 793 11/15/2020
1.0.0-preview-363372268 712 11/14/2020
1.0.0-preview-362038354 756 11/13/2020
1.0.0-preview-362004577 749 11/13/2020
1.0.0-preview-361488593 699 11/13/2020
1.0.0-preview-360710530 743 11/13/2020
1.0.0-preview-359756455 732 11/12/2020
1.0.0-preview-358333968 789 11/11/2020
1.0.0-preview-358184921 790 11/11/2020
1.0.0-preview-358174946 755 11/11/2020
1.0.0-preview-349704450 849 11/6/2020
1.0.0-preview-349564717 828 11/6/2020
1.0.0-preview-343634015 842 11/3/2020
1.0.0-preview-343610434 752 11/3/2020
1.0.0-preview-328097867 1,049 10/26/2020
1.0.0-preview-322875134 791 10/22/2020
1.0.0-preview-315311536 736 10/19/2020
1.0.0-preview-309180753 775 10/15/2020
1.0.0-preview-309013019 812 10/15/2020
1.0.0-preview-308920132 721 10/15/2020
1.0.0-preview-308837132 784 10/15/2020
1.0.0-preview-308751690 749 10/15/2020
1.0.0-preview-308593840 765 10/15/2020
1.0.0-preview-299173506 850 10/10/2020
1.0.0-preview-292259854 855 10/6/2020
1.0.0-preview-291985511 802 10/6/2020
1.0.0-preview-291903007 776 10/6/2020
1.0.0-preview-291722399 805 10/6/2020
1.0.0-preview-284981464 751 10/2/2020
1.0.0-preview-284595614 737 10/2/2020
1.0.0-preview-280886714 808 9/30/2020
1.0.0-preview-278989673 751 9/29/2020
1.0.0-preview-277686264 749 9/29/2020
1.0.0-preview-277653295 756 9/29/2020
1.0.0-preview-275730148 821 9/28/2020
1.0.0-preview-275727262 790 9/28/2020
1.0.0-preview-267667710 839 9/22/2020
1.0.0-preview-263264614 848 9/20/2020
1.0.0-preview-263250971 868 9/20/2020
1.0.0-preview-262623253 740 9/19/2020
1.0.0-preview-258339834 781 9/16/2020
1.0.0-preview-258210544 808 9/16/2020
1.0.0-preview-258177528 850 9/16/2020
1.0.0-preview-258119380 852 9/16/2020
1.0.0-preview-256594931 803 9/16/2020
1.0.0-preview-256435175 876 9/15/2020
1.0.0-preview-253816091 772 9/14/2020
1.0.0-preview-253197654 795 9/14/2020
1.0.0-preview-247523274 737 9/10/2020
1.0.0-preview-247118168 818 9/9/2020
1.0.0-preview-246444372 863 9/9/2020
1.0.0-preview-246434361 823 9/9/2020
1.0.0-preview-246402060 745 9/9/2020
1.0.0-preview-245105781 759 9/8/2020
1.0.0-preview-244918410 827 9/8/2020
1.0.0-preview-243478925 743 9/7/2020
1.0.0-preview-243471084 784 9/7/2020
1.0.0-preview-243323135 883 9/7/2020
1.0.0-preview-1413494063 688 11/2/2021
1.0.0-preview-1405354284 626 10/31/2021
1.0.0-preview-1338129467 680 10/13/2021
1.0.0-preview-1327345305 771 10/11/2021
1.0.0-preview-1325686991 615 10/10/2021
1.0.0-preview-1324682939 761 10/10/2021
1.0.0-preview-1239345497 692 9/15/2021
1.0.0-preview-1227879651 671 9/13/2021
1.0.0-preview-1227810778 675 9/13/2021
1.0.0-preview-1222163389 664 9/10/2021
1.0.0-preview-1177844564 708 8/28/2021
1.0.0-preview-1176119659 614 8/28/2021
1.0.0-preview-1176116073 624 8/28/2021
1.0.0-preview-1176112166 592 8/28/2021
1.0.0-preview-1172193368 611 8/26/2021
1.0.0-preview-1168287221 600 8/25/2021
1.0.0-preview-1147185155 691 8/19/2021
1.0.0-preview-1133286135 733 8/15/2021
1.0.0-preview-1118120224 703 8/10/2021
1.0.0-preview-1111420036 616 8/9/2021
1.0.0-preview-1111385512 550 8/9/2021
1.0.0-preview-1111166736 609 8/9/2021
1.0.0-preview-1088380884 640 8/1/2021
1.0.0-preview-1088311063 645 8/1/2021
1.0.0-preview-1088021240 719 8/1/2021
1.0.0-preview-1083990424 660 7/31/2021
1.0.0-preview-1080710191 641 7/30/2021
1.0.0-preview-1080701269 668 7/30/2021
1.0.0-preview-1079028054 672 7/29/2021
1.0.0-preview-1079000079 669 7/29/2021
1.0.0-preview-1078977564 746 7/29/2021
1.0.0-preview-1069218438 581 7/26/2021
1.0.0-preview-1065692127 708 7/26/2021
1.0.0-preview-1054554829 623 7/22/2021
1.0.0-preview-1054460177 680 7/22/2021
1.0.0-preview-1044919966 666 7/19/2021
1.0.0-preview-1043697034 563 7/19/2021
1.0.0-preview-1001211231 662 7/5/2021
1.0.0-preview-1001204475 655 7/5/2021
0.9.5-preview-243240046 871 9/7/2020
0.9.5-preview-243219862 927 9/7/2020