DiffSharp.Backends.Torch 1.0.0-preview-253816091

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There is a newer version of this package available.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-253816091
                    
NuGet\Install-Package DiffSharp.Backends.Torch -Version 1.0.0-preview-253816091
                    
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-253816091" />
                    
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-253816091" />
                    
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-253816091
                    
#r "nuget: DiffSharp.Backends.Torch, 1.0.0-preview-253816091"
                    
#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-253816091
                    
#: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-253816091&prerelease
                    
Install as a Cake Addin
#tool nuget:?package=DiffSharp.Backends.Torch&version=1.0.0-preview-253816091&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 6,174 3/26/2022
1.0.7-preview2044360861 480 3/26/2022
1.0.7-preview1873603133 528 2/21/2022
1.0.7-preview1872895008 521 2/20/2022
1.0.7-preview1872194677 502 2/20/2022
1.0.7-preview1867437105 485 2/19/2022
1.0.7-preview1838897476 522 2/14/2022
1.0.7-preview1838869913 497 2/14/2022
1.0.6 6,747 2/9/2022
1.0.6-preview1838805210 507 2/14/2022
1.0.6-preview1838790927 582 2/14/2022
1.0.6-preview1838781533 534 2/14/2022
1.0.6-preview1838761310 490 2/14/2022
1.0.6-preview1838574327 573 2/14/2022
1.0.6-preview1838238393 527 2/13/2022
1.0.6-preview1837967313 553 2/13/2022
1.0.6-preview1837932839 374 2/13/2022
1.0.6-preview1837857091 368 2/13/2022
1.0.5 3,709 2/9/2022
1.0.4 3,859 2/8/2022
1.0.3 4,965 2/8/2022
1.0.2 4,085 2/8/2022
1.0.1 4,929 11/8/2021
1.0.0-preview-987646120 687 6/30/2021
1.0.0-preview-964642900 647 6/23/2021
1.0.0-preview-964597118 503 6/23/2021
1.0.0-preview-964532207 567 6/23/2021
1.0.0-preview-964414624 571 6/23/2021
1.0.0-preview-962665709 433 6/23/2021
1.0.0-preview-961120541 484 6/22/2021
1.0.0-preview-958984202 509 6/22/2021
1.0.0-preview-783523654 651 4/25/2021
1.0.0-preview-783503343 551 4/25/2021
1.0.0-preview-783410550 583 4/25/2021
1.0.0-preview-781810429 524 4/25/2021
1.0.0-preview-775752139 613 4/22/2021
1.0.0-preview-774228953 567 4/22/2021
1.0.0-preview-769092916 579 4/21/2021
1.0.0-preview-768013090 552 4/20/2021
1.0.0-preview-762002995 530 4/19/2021
1.0.0-preview-761040762 590 4/18/2021
1.0.0-preview-761018834 616 4/18/2021
1.0.0-preview-756065403 526 4/16/2021
1.0.0-preview-755638011 533 4/16/2021
1.0.0-preview-752421465 559 4/15/2021
1.0.0-preview-748176085 544 4/14/2021
1.0.0-preview-746203897 530 4/13/2021
1.0.0-preview-746138300 559 4/13/2021
1.0.0-preview-745205599 508 4/13/2021
1.0.0-preview-739671157 540 4/12/2021
1.0.0-preview-712483117 546 4/2/2021
1.0.0-preview-699281085 485 3/29/2021
1.0.0-preview-699125312 540 3/29/2021
1.0.0-preview-698458610 588 3/29/2021
1.0.0-preview-697743517 608 3/29/2021
1.0.0-preview-697665469 548 3/29/2021
1.0.0-preview-690194555 554 3/26/2021
1.0.0-preview-688124591 517 3/25/2021
1.0.0-preview-687886352 516 3/25/2021
1.0.0-preview-681551353 559 3/24/2021
1.0.0-preview-681104545 567 3/23/2021
1.0.0-preview-680643606 596 3/23/2021
1.0.0-preview-679950457 543 3/23/2021
1.0.0-preview-669022451 553 3/19/2021
1.0.0-preview-643151273 451 3/11/2021
1.0.0-preview-633398743 531 3/8/2021
1.0.0-preview-633348953 533 3/8/2021
1.0.0-preview-621803110 596 3/4/2021
1.0.0-preview-611561611 581 3/1/2021
1.0.0-preview-611172961 498 3/1/2021
1.0.0-preview-593196134 471 2/23/2021
1.0.0-preview-589424126 525 2/22/2021
1.0.0-preview-589402583 553 2/22/2021
1.0.0-preview-586837684 500 2/21/2021
1.0.0-preview-586440747 549 2/21/2021
1.0.0-preview-498549439 572 1/20/2021
1.0.0-preview-485581354 592 1/14/2021
1.0.0-preview-392545720 655 11/30/2020
1.0.0-preview-392233243 618 11/30/2020
1.0.0-preview-392187079 657 11/30/2020
1.0.0-preview-390203270 592 11/29/2020
1.0.0-preview-387146713 674 11/27/2020
1.0.0-preview-386097798 715 11/26/2020
1.0.0-preview-385867359 717 11/26/2020
1.0.0-preview-385523380 596 11/26/2020
1.0.0-preview-384128234 694 11/25/2020
1.0.0-preview-374537774 665 11/20/2020
1.0.0-preview-374468367 591 11/20/2020
1.0.0-preview-368681212 633 11/17/2020
1.0.0-preview-368659044 712 11/17/2020
1.0.0-preview-364746088 730 11/15/2020
1.0.0-preview-364706087 677 11/15/2020
1.0.0-preview-363372268 607 11/14/2020
1.0.0-preview-362038354 633 11/13/2020
1.0.0-preview-362004577 646 11/13/2020
1.0.0-preview-361488593 580 11/13/2020
1.0.0-preview-360710530 634 11/13/2020
1.0.0-preview-359756455 638 11/12/2020
1.0.0-preview-358333968 663 11/11/2020
1.0.0-preview-358184921 672 11/11/2020
1.0.0-preview-358174946 647 11/11/2020
1.0.0-preview-349704450 740 11/6/2020
1.0.0-preview-349564717 720 11/6/2020
1.0.0-preview-343634015 719 11/3/2020
1.0.0-preview-343610434 651 11/3/2020
1.0.0-preview-328097867 935 10/26/2020
1.0.0-preview-322875134 679 10/22/2020
1.0.0-preview-315311536 620 10/19/2020
1.0.0-preview-309180753 655 10/15/2020
1.0.0-preview-309013019 715 10/15/2020
1.0.0-preview-308920132 634 10/15/2020
1.0.0-preview-308837132 667 10/15/2020
1.0.0-preview-308751690 672 10/15/2020
1.0.0-preview-308593840 682 10/15/2020
1.0.0-preview-299173506 749 10/10/2020
1.0.0-preview-292259854 747 10/6/2020
1.0.0-preview-291985511 702 10/6/2020
1.0.0-preview-291903007 653 10/6/2020
1.0.0-preview-291722399 726 10/6/2020
1.0.0-preview-284981464 661 10/2/2020
1.0.0-preview-284595614 635 10/2/2020
1.0.0-preview-280886714 713 9/30/2020
1.0.0-preview-278989673 663 9/29/2020
1.0.0-preview-277686264 645 9/29/2020
1.0.0-preview-277653295 666 9/29/2020
1.0.0-preview-275730148 726 9/28/2020
1.0.0-preview-275727262 691 9/28/2020
1.0.0-preview-267667710 722 9/22/2020
1.0.0-preview-263264614 753 9/20/2020
1.0.0-preview-263250971 786 9/20/2020
1.0.0-preview-262623253 640 9/19/2020
1.0.0-preview-258339834 670 9/16/2020
1.0.0-preview-258210544 709 9/16/2020
1.0.0-preview-258177528 757 9/16/2020
1.0.0-preview-258119380 749 9/16/2020
1.0.0-preview-256594931 712 9/16/2020
1.0.0-preview-256435175 758 9/15/2020
1.0.0-preview-253816091 661 9/14/2020
1.0.0-preview-253197654 683 9/14/2020
1.0.0-preview-247523274 636 9/10/2020
1.0.0-preview-247118168 707 9/9/2020
1.0.0-preview-246444372 766 9/9/2020
1.0.0-preview-246434361 742 9/9/2020
1.0.0-preview-246402060 618 9/9/2020
1.0.0-preview-245105781 649 9/8/2020
1.0.0-preview-244918410 702 9/8/2020
1.0.0-preview-243478925 640 9/7/2020
1.0.0-preview-243471084 662 9/7/2020
1.0.0-preview-243323135 772 9/7/2020
1.0.0-preview-1413494063 578 11/2/2021
1.0.0-preview-1405354284 533 10/31/2021
1.0.0-preview-1338129467 578 10/13/2021
1.0.0-preview-1327345305 667 10/11/2021
1.0.0-preview-1325686991 522 10/10/2021
1.0.0-preview-1324682939 675 10/10/2021
1.0.0-preview-1239345497 585 9/15/2021
1.0.0-preview-1227879651 583 9/13/2021
1.0.0-preview-1227810778 583 9/13/2021
1.0.0-preview-1222163389 569 9/10/2021
1.0.0-preview-1177844564 597 8/28/2021
1.0.0-preview-1176119659 501 8/28/2021
1.0.0-preview-1176116073 522 8/28/2021
1.0.0-preview-1176112166 488 8/28/2021
1.0.0-preview-1172193368 521 8/26/2021
1.0.0-preview-1168287221 502 8/25/2021
1.0.0-preview-1147185155 585 8/19/2021
1.0.0-preview-1133286135 624 8/15/2021
1.0.0-preview-1118120224 604 8/10/2021
1.0.0-preview-1111420036 520 8/9/2021
1.0.0-preview-1111385512 445 8/9/2021
1.0.0-preview-1111166736 513 8/9/2021
1.0.0-preview-1088380884 544 8/1/2021
1.0.0-preview-1088311063 545 8/1/2021
1.0.0-preview-1088021240 621 8/1/2021
1.0.0-preview-1083990424 567 7/31/2021
1.0.0-preview-1080710191 533 7/30/2021
1.0.0-preview-1080701269 558 7/30/2021
1.0.0-preview-1079028054 566 7/29/2021
1.0.0-preview-1079000079 562 7/29/2021
1.0.0-preview-1078977564 619 7/29/2021
1.0.0-preview-1069218438 472 7/26/2021
1.0.0-preview-1065692127 619 7/26/2021
1.0.0-preview-1054554829 522 7/22/2021
1.0.0-preview-1054460177 583 7/22/2021
1.0.0-preview-1044919966 540 7/19/2021
1.0.0-preview-1043697034 474 7/19/2021
1.0.0-preview-1001211231 569 7/5/2021
1.0.0-preview-1001204475 537 7/5/2021
0.9.5-preview-243240046 774 9/7/2020
0.9.5-preview-243219862 800 9/7/2020