DiffSharp.Backends.Torch 1.0.0-preview-292259854

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There is a newer version of this package available.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-292259854
                    
NuGet\Install-Package DiffSharp.Backends.Torch -Version 1.0.0-preview-292259854
                    
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-292259854" />
                    
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-292259854" />
                    
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-292259854
                    
#r "nuget: DiffSharp.Backends.Torch, 1.0.0-preview-292259854"
                    
#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-292259854
                    
#: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-292259854&prerelease
                    
Install as a Cake Addin
#tool nuget:?package=DiffSharp.Backends.Torch&version=1.0.0-preview-292259854&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 6,087 3/26/2022
1.0.7-preview2044360861 455 3/26/2022
1.0.7-preview1873603133 496 2/21/2022
1.0.7-preview1872895008 486 2/20/2022
1.0.7-preview1872194677 476 2/20/2022
1.0.7-preview1867437105 452 2/19/2022
1.0.7-preview1838897476 494 2/14/2022
1.0.7-preview1838869913 466 2/14/2022
1.0.6 6,717 2/9/2022
1.0.6-preview1838805210 476 2/14/2022
1.0.6-preview1838790927 555 2/14/2022
1.0.6-preview1838781533 500 2/14/2022
1.0.6-preview1838761310 463 2/14/2022
1.0.6-preview1838574327 542 2/14/2022
1.0.6-preview1838238393 495 2/13/2022
1.0.6-preview1837967313 521 2/13/2022
1.0.6-preview1837932839 342 2/13/2022
1.0.6-preview1837857091 340 2/13/2022
1.0.5 3,678 2/9/2022
1.0.4 3,830 2/8/2022
1.0.3 4,935 2/8/2022
1.0.2 4,052 2/8/2022
1.0.1 4,898 11/8/2021
1.0.0-preview-987646120 650 6/30/2021
1.0.0-preview-964642900 613 6/23/2021
1.0.0-preview-964597118 474 6/23/2021
1.0.0-preview-964532207 534 6/23/2021
1.0.0-preview-964414624 541 6/23/2021
1.0.0-preview-962665709 397 6/23/2021
1.0.0-preview-961120541 443 6/22/2021
1.0.0-preview-958984202 477 6/22/2021
1.0.0-preview-783523654 619 4/25/2021
1.0.0-preview-783503343 519 4/25/2021
1.0.0-preview-783410550 546 4/25/2021
1.0.0-preview-781810429 490 4/25/2021
1.0.0-preview-775752139 579 4/22/2021
1.0.0-preview-774228953 533 4/22/2021
1.0.0-preview-769092916 544 4/21/2021
1.0.0-preview-768013090 520 4/20/2021
1.0.0-preview-762002995 493 4/19/2021
1.0.0-preview-761040762 555 4/18/2021
1.0.0-preview-761018834 582 4/18/2021
1.0.0-preview-756065403 495 4/16/2021
1.0.0-preview-755638011 495 4/16/2021
1.0.0-preview-752421465 524 4/15/2021
1.0.0-preview-748176085 511 4/14/2021
1.0.0-preview-746203897 498 4/13/2021
1.0.0-preview-746138300 529 4/13/2021
1.0.0-preview-745205599 474 4/13/2021
1.0.0-preview-739671157 506 4/12/2021
1.0.0-preview-712483117 515 4/2/2021
1.0.0-preview-699281085 455 3/29/2021
1.0.0-preview-699125312 509 3/29/2021
1.0.0-preview-698458610 557 3/29/2021
1.0.0-preview-697743517 576 3/29/2021
1.0.0-preview-697665469 514 3/29/2021
1.0.0-preview-690194555 519 3/26/2021
1.0.0-preview-688124591 485 3/25/2021
1.0.0-preview-687886352 489 3/25/2021
1.0.0-preview-681551353 525 3/24/2021
1.0.0-preview-681104545 534 3/23/2021
1.0.0-preview-680643606 561 3/23/2021
1.0.0-preview-679950457 514 3/23/2021
1.0.0-preview-669022451 519 3/19/2021
1.0.0-preview-643151273 420 3/11/2021
1.0.0-preview-633398743 496 3/8/2021
1.0.0-preview-633348953 498 3/8/2021
1.0.0-preview-621803110 562 3/4/2021
1.0.0-preview-611561611 543 3/1/2021
1.0.0-preview-611172961 465 3/1/2021
1.0.0-preview-593196134 442 2/23/2021
1.0.0-preview-589424126 495 2/22/2021
1.0.0-preview-589402583 525 2/22/2021
1.0.0-preview-586837684 468 2/21/2021
1.0.0-preview-586440747 517 2/21/2021
1.0.0-preview-498549439 539 1/20/2021
1.0.0-preview-485581354 538 1/14/2021
1.0.0-preview-392545720 618 11/30/2020
1.0.0-preview-392233243 579 11/30/2020
1.0.0-preview-392187079 622 11/30/2020
1.0.0-preview-390203270 561 11/29/2020
1.0.0-preview-387146713 642 11/27/2020
1.0.0-preview-386097798 676 11/26/2020
1.0.0-preview-385867359 680 11/26/2020
1.0.0-preview-385523380 566 11/26/2020
1.0.0-preview-384128234 661 11/25/2020
1.0.0-preview-374537774 626 11/20/2020
1.0.0-preview-374468367 554 11/20/2020
1.0.0-preview-368681212 603 11/17/2020
1.0.0-preview-368659044 677 11/17/2020
1.0.0-preview-364746088 684 11/15/2020
1.0.0-preview-364706087 643 11/15/2020
1.0.0-preview-363372268 574 11/14/2020
1.0.0-preview-362038354 594 11/13/2020
1.0.0-preview-362004577 608 11/13/2020
1.0.0-preview-361488593 545 11/13/2020
1.0.0-preview-360710530 604 11/13/2020
1.0.0-preview-359756455 609 11/12/2020
1.0.0-preview-358333968 628 11/11/2020
1.0.0-preview-358184921 640 11/11/2020
1.0.0-preview-358174946 610 11/11/2020
1.0.0-preview-349704450 702 11/6/2020
1.0.0-preview-349564717 683 11/6/2020
1.0.0-preview-343634015 686 11/3/2020
1.0.0-preview-343610434 616 11/3/2020
1.0.0-preview-328097867 895 10/26/2020
1.0.0-preview-322875134 638 10/22/2020
1.0.0-preview-315311536 583 10/19/2020
1.0.0-preview-309180753 618 10/15/2020
1.0.0-preview-309013019 675 10/15/2020
1.0.0-preview-308920132 596 10/15/2020
1.0.0-preview-308837132 631 10/15/2020
1.0.0-preview-308751690 634 10/15/2020
1.0.0-preview-308593840 639 10/15/2020
1.0.0-preview-299173506 716 10/10/2020
1.0.0-preview-292259854 712 10/6/2020
1.0.0-preview-291985511 667 10/6/2020
1.0.0-preview-291903007 617 10/6/2020
1.0.0-preview-291722399 680 10/6/2020
1.0.0-preview-284981464 630 10/2/2020
1.0.0-preview-284595614 599 10/2/2020
1.0.0-preview-280886714 679 9/30/2020
1.0.0-preview-278989673 627 9/29/2020
1.0.0-preview-277686264 607 9/29/2020
1.0.0-preview-277653295 633 9/29/2020
1.0.0-preview-275730148 690 9/28/2020
1.0.0-preview-275727262 660 9/28/2020
1.0.0-preview-267667710 690 9/22/2020
1.0.0-preview-263264614 720 9/20/2020
1.0.0-preview-263250971 754 9/20/2020
1.0.0-preview-262623253 608 9/19/2020
1.0.0-preview-258339834 638 9/16/2020
1.0.0-preview-258210544 678 9/16/2020
1.0.0-preview-258177528 722 9/16/2020
1.0.0-preview-258119380 712 9/16/2020
1.0.0-preview-256594931 673 9/16/2020
1.0.0-preview-256435175 723 9/15/2020
1.0.0-preview-253816091 625 9/14/2020
1.0.0-preview-253197654 647 9/14/2020
1.0.0-preview-247523274 600 9/10/2020
1.0.0-preview-247118168 676 9/9/2020
1.0.0-preview-246444372 730 9/9/2020
1.0.0-preview-246434361 707 9/9/2020
1.0.0-preview-246402060 582 9/9/2020
1.0.0-preview-245105781 610 9/8/2020
1.0.0-preview-244918410 664 9/8/2020
1.0.0-preview-243478925 609 9/7/2020
1.0.0-preview-243471084 624 9/7/2020
1.0.0-preview-243323135 734 9/7/2020
1.0.0-preview-1413494063 543 11/2/2021
1.0.0-preview-1405354284 498 10/31/2021
1.0.0-preview-1338129467 540 10/13/2021
1.0.0-preview-1327345305 637 10/11/2021
1.0.0-preview-1325686991 485 10/10/2021
1.0.0-preview-1324682939 640 10/10/2021
1.0.0-preview-1239345497 556 9/15/2021
1.0.0-preview-1227879651 551 9/13/2021
1.0.0-preview-1227810778 552 9/13/2021
1.0.0-preview-1222163389 534 9/10/2021
1.0.0-preview-1177844564 561 8/28/2021
1.0.0-preview-1176119659 473 8/28/2021
1.0.0-preview-1176116073 493 8/28/2021
1.0.0-preview-1176112166 453 8/28/2021
1.0.0-preview-1172193368 483 8/26/2021
1.0.0-preview-1168287221 471 8/25/2021
1.0.0-preview-1147185155 553 8/19/2021
1.0.0-preview-1133286135 594 8/15/2021
1.0.0-preview-1118120224 574 8/10/2021
1.0.0-preview-1111420036 485 8/9/2021
1.0.0-preview-1111385512 419 8/9/2021
1.0.0-preview-1111166736 484 8/9/2021
1.0.0-preview-1088380884 506 8/1/2021
1.0.0-preview-1088311063 512 8/1/2021
1.0.0-preview-1088021240 585 8/1/2021
1.0.0-preview-1083990424 534 7/31/2021
1.0.0-preview-1080710191 500 7/30/2021
1.0.0-preview-1080701269 526 7/30/2021
1.0.0-preview-1079028054 533 7/29/2021
1.0.0-preview-1079000079 526 7/29/2021
1.0.0-preview-1078977564 586 7/29/2021
1.0.0-preview-1069218438 442 7/26/2021
1.0.0-preview-1065692127 587 7/26/2021
1.0.0-preview-1054554829 488 7/22/2021
1.0.0-preview-1054460177 549 7/22/2021
1.0.0-preview-1044919966 508 7/19/2021
1.0.0-preview-1043697034 443 7/19/2021
1.0.0-preview-1001211231 534 7/5/2021
1.0.0-preview-1001204475 504 7/5/2021
0.9.5-preview-243240046 740 9/7/2020
0.9.5-preview-243219862 764 9/7/2020