DiffSharp.Backends.Torch 1.0.0-preview-309013019

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There is a newer version of this package available.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-309013019
                    
NuGet\Install-Package DiffSharp.Backends.Torch -Version 1.0.0-preview-309013019
                    
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-309013019" />
                    
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-309013019" />
                    
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-309013019
                    
#r "nuget: DiffSharp.Backends.Torch, 1.0.0-preview-309013019"
                    
#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.
#addin nuget:?package=DiffSharp.Backends.Torch&version=1.0.0-preview-309013019&prerelease
                    
Install as a Cake Addin
#tool nuget:?package=DiffSharp.Backends.Torch&version=1.0.0-preview-309013019&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 6,081 3/26/2022
1.0.7-preview2044360861 452 3/26/2022
1.0.7-preview1873603133 492 2/21/2022
1.0.7-preview1872895008 481 2/20/2022
1.0.7-preview1872194677 472 2/20/2022
1.0.7-preview1867437105 449 2/19/2022
1.0.7-preview1838897476 491 2/14/2022
1.0.7-preview1838869913 461 2/14/2022
1.0.6 6,712 2/9/2022
1.0.6-preview1838805210 472 2/14/2022
1.0.6-preview1838790927 550 2/14/2022
1.0.6-preview1838781533 496 2/14/2022
1.0.6-preview1838761310 458 2/14/2022
1.0.6-preview1838574327 537 2/14/2022
1.0.6-preview1838238393 491 2/13/2022
1.0.6-preview1837967313 517 2/13/2022
1.0.6-preview1837932839 338 2/13/2022
1.0.6-preview1837857091 337 2/13/2022
1.0.5 3,674 2/9/2022
1.0.4 3,824 2/8/2022
1.0.3 4,928 2/8/2022
1.0.2 4,045 2/8/2022
1.0.1 4,892 11/8/2021
1.0.0-preview-987646120 646 6/30/2021
1.0.0-preview-964642900 609 6/23/2021
1.0.0-preview-964597118 469 6/23/2021
1.0.0-preview-964532207 529 6/23/2021
1.0.0-preview-964414624 536 6/23/2021
1.0.0-preview-962665709 391 6/23/2021
1.0.0-preview-961120541 438 6/22/2021
1.0.0-preview-958984202 472 6/22/2021
1.0.0-preview-783523654 615 4/25/2021
1.0.0-preview-783503343 514 4/25/2021
1.0.0-preview-783410550 542 4/25/2021
1.0.0-preview-781810429 483 4/25/2021
1.0.0-preview-775752139 575 4/22/2021
1.0.0-preview-774228953 529 4/22/2021
1.0.0-preview-769092916 540 4/21/2021
1.0.0-preview-768013090 515 4/20/2021
1.0.0-preview-762002995 489 4/19/2021
1.0.0-preview-761040762 550 4/18/2021
1.0.0-preview-761018834 578 4/18/2021
1.0.0-preview-756065403 491 4/16/2021
1.0.0-preview-755638011 490 4/16/2021
1.0.0-preview-752421465 518 4/15/2021
1.0.0-preview-748176085 505 4/14/2021
1.0.0-preview-746203897 493 4/13/2021
1.0.0-preview-746138300 524 4/13/2021
1.0.0-preview-745205599 468 4/13/2021
1.0.0-preview-739671157 502 4/12/2021
1.0.0-preview-712483117 510 4/2/2021
1.0.0-preview-699281085 450 3/29/2021
1.0.0-preview-699125312 505 3/29/2021
1.0.0-preview-698458610 551 3/29/2021
1.0.0-preview-697743517 571 3/29/2021
1.0.0-preview-697665469 509 3/29/2021
1.0.0-preview-690194555 514 3/26/2021
1.0.0-preview-688124591 480 3/25/2021
1.0.0-preview-687886352 485 3/25/2021
1.0.0-preview-681551353 520 3/24/2021
1.0.0-preview-681104545 530 3/23/2021
1.0.0-preview-680643606 555 3/23/2021
1.0.0-preview-679950457 507 3/23/2021
1.0.0-preview-669022451 514 3/19/2021
1.0.0-preview-643151273 415 3/11/2021
1.0.0-preview-633398743 492 3/8/2021
1.0.0-preview-633348953 494 3/8/2021
1.0.0-preview-621803110 556 3/4/2021
1.0.0-preview-611561611 538 3/1/2021
1.0.0-preview-611172961 458 3/1/2021
1.0.0-preview-593196134 438 2/23/2021
1.0.0-preview-589424126 491 2/22/2021
1.0.0-preview-589402583 521 2/22/2021
1.0.0-preview-586837684 461 2/21/2021
1.0.0-preview-586440747 513 2/21/2021
1.0.0-preview-498549439 534 1/20/2021
1.0.0-preview-485581354 532 1/14/2021
1.0.0-preview-392545720 614 11/30/2020
1.0.0-preview-392233243 573 11/30/2020
1.0.0-preview-392187079 618 11/30/2020
1.0.0-preview-390203270 557 11/29/2020
1.0.0-preview-387146713 637 11/27/2020
1.0.0-preview-386097798 671 11/26/2020
1.0.0-preview-385867359 676 11/26/2020
1.0.0-preview-385523380 562 11/26/2020
1.0.0-preview-384128234 656 11/25/2020
1.0.0-preview-374537774 620 11/20/2020
1.0.0-preview-374468367 549 11/20/2020
1.0.0-preview-368681212 597 11/17/2020
1.0.0-preview-368659044 673 11/17/2020
1.0.0-preview-364746088 679 11/15/2020
1.0.0-preview-364706087 638 11/15/2020
1.0.0-preview-363372268 570 11/14/2020
1.0.0-preview-362038354 590 11/13/2020
1.0.0-preview-362004577 603 11/13/2020
1.0.0-preview-361488593 540 11/13/2020
1.0.0-preview-360710530 599 11/13/2020
1.0.0-preview-359756455 605 11/12/2020
1.0.0-preview-358333968 624 11/11/2020
1.0.0-preview-358184921 635 11/11/2020
1.0.0-preview-358174946 605 11/11/2020
1.0.0-preview-349704450 696 11/6/2020
1.0.0-preview-349564717 678 11/6/2020
1.0.0-preview-343634015 680 11/3/2020
1.0.0-preview-343610434 612 11/3/2020
1.0.0-preview-328097867 889 10/26/2020
1.0.0-preview-322875134 632 10/22/2020
1.0.0-preview-315311536 578 10/19/2020
1.0.0-preview-309180753 612 10/15/2020
1.0.0-preview-309013019 669 10/15/2020
1.0.0-preview-308920132 591 10/15/2020
1.0.0-preview-308837132 626 10/15/2020
1.0.0-preview-308751690 629 10/15/2020
1.0.0-preview-308593840 634 10/15/2020
1.0.0-preview-299173506 711 10/10/2020
1.0.0-preview-292259854 706 10/6/2020
1.0.0-preview-291985511 662 10/6/2020
1.0.0-preview-291903007 612 10/6/2020
1.0.0-preview-291722399 676 10/6/2020
1.0.0-preview-284981464 626 10/2/2020
1.0.0-preview-284595614 594 10/2/2020
1.0.0-preview-280886714 674 9/30/2020
1.0.0-preview-278989673 622 9/29/2020
1.0.0-preview-277686264 602 9/29/2020
1.0.0-preview-277653295 627 9/29/2020
1.0.0-preview-275730148 685 9/28/2020
1.0.0-preview-275727262 656 9/28/2020
1.0.0-preview-267667710 685 9/22/2020
1.0.0-preview-263264614 716 9/20/2020
1.0.0-preview-263250971 750 9/20/2020
1.0.0-preview-262623253 602 9/19/2020
1.0.0-preview-258339834 633 9/16/2020
1.0.0-preview-258210544 674 9/16/2020
1.0.0-preview-258177528 716 9/16/2020
1.0.0-preview-258119380 708 9/16/2020
1.0.0-preview-256594931 668 9/16/2020
1.0.0-preview-256435175 719 9/15/2020
1.0.0-preview-253816091 620 9/14/2020
1.0.0-preview-253197654 642 9/14/2020
1.0.0-preview-247523274 596 9/10/2020
1.0.0-preview-247118168 672 9/9/2020
1.0.0-preview-246444372 724 9/9/2020
1.0.0-preview-246434361 703 9/9/2020
1.0.0-preview-246402060 575 9/9/2020
1.0.0-preview-245105781 602 9/8/2020
1.0.0-preview-244918410 656 9/8/2020
1.0.0-preview-243478925 605 9/7/2020
1.0.0-preview-243471084 619 9/7/2020
1.0.0-preview-243323135 729 9/7/2020
1.0.0-preview-1413494063 539 11/2/2021
1.0.0-preview-1405354284 494 10/31/2021
1.0.0-preview-1338129467 535 10/13/2021
1.0.0-preview-1327345305 632 10/11/2021
1.0.0-preview-1325686991 482 10/10/2021
1.0.0-preview-1324682939 636 10/10/2021
1.0.0-preview-1239345497 552 9/15/2021
1.0.0-preview-1227879651 547 9/13/2021
1.0.0-preview-1227810778 547 9/13/2021
1.0.0-preview-1222163389 528 9/10/2021
1.0.0-preview-1177844564 555 8/28/2021
1.0.0-preview-1176119659 468 8/28/2021
1.0.0-preview-1176116073 488 8/28/2021
1.0.0-preview-1176112166 448 8/28/2021
1.0.0-preview-1172193368 477 8/26/2021
1.0.0-preview-1168287221 466 8/25/2021
1.0.0-preview-1147185155 547 8/19/2021
1.0.0-preview-1133286135 589 8/15/2021
1.0.0-preview-1118120224 570 8/10/2021
1.0.0-preview-1111420036 480 8/9/2021
1.0.0-preview-1111385512 415 8/9/2021
1.0.0-preview-1111166736 479 8/9/2021
1.0.0-preview-1088380884 501 8/1/2021
1.0.0-preview-1088311063 506 8/1/2021
1.0.0-preview-1088021240 579 8/1/2021
1.0.0-preview-1083990424 529 7/31/2021
1.0.0-preview-1080710191 495 7/30/2021
1.0.0-preview-1080701269 521 7/30/2021
1.0.0-preview-1079028054 529 7/29/2021
1.0.0-preview-1079000079 521 7/29/2021
1.0.0-preview-1078977564 582 7/29/2021
1.0.0-preview-1069218438 436 7/26/2021
1.0.0-preview-1065692127 583 7/26/2021
1.0.0-preview-1054554829 483 7/22/2021
1.0.0-preview-1054460177 544 7/22/2021
1.0.0-preview-1044919966 504 7/19/2021
1.0.0-preview-1043697034 438 7/19/2021
1.0.0-preview-1001211231 530 7/5/2021
1.0.0-preview-1001204475 500 7/5/2021
0.9.5-preview-243240046 736 9/7/2020
0.9.5-preview-243219862 760 9/7/2020