DiffSharp.Backends.Torch 1.0.0-preview-246444372

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There is a newer version of this package available.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-246444372
                    
NuGet\Install-Package DiffSharp.Backends.Torch -Version 1.0.0-preview-246444372
                    
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-246444372" />
                    
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-246444372" />
                    
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-246444372
                    
#r "nuget: DiffSharp.Backends.Torch, 1.0.0-preview-246444372"
                    
#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-246444372
                    
#: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-246444372&prerelease
                    
Install as a Cake Addin
#tool nuget:?package=DiffSharp.Backends.Torch&version=1.0.0-preview-246444372&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 6,110 3/26/2022
1.0.7-preview2044360861 466 3/26/2022
1.0.7-preview1873603133 510 2/21/2022
1.0.7-preview1872895008 499 2/20/2022
1.0.7-preview1872194677 487 2/20/2022
1.0.7-preview1867437105 464 2/19/2022
1.0.7-preview1838897476 506 2/14/2022
1.0.7-preview1838869913 480 2/14/2022
1.0.6 6,729 2/9/2022
1.0.6-preview1838805210 489 2/14/2022
1.0.6-preview1838790927 566 2/14/2022
1.0.6-preview1838781533 513 2/14/2022
1.0.6-preview1838761310 475 2/14/2022
1.0.6-preview1838574327 555 2/14/2022
1.0.6-preview1838238393 509 2/13/2022
1.0.6-preview1837967313 534 2/13/2022
1.0.6-preview1837932839 357 2/13/2022
1.0.6-preview1837857091 353 2/13/2022
1.0.5 3,693 2/9/2022
1.0.4 3,842 2/8/2022
1.0.3 4,947 2/8/2022
1.0.2 4,065 2/8/2022
1.0.1 4,911 11/8/2021
1.0.0-preview-987646120 666 6/30/2021
1.0.0-preview-964642900 625 6/23/2021
1.0.0-preview-964597118 486 6/23/2021
1.0.0-preview-964532207 547 6/23/2021
1.0.0-preview-964414624 554 6/23/2021
1.0.0-preview-962665709 411 6/23/2021
1.0.0-preview-961120541 456 6/22/2021
1.0.0-preview-958984202 490 6/22/2021
1.0.0-preview-783523654 632 4/25/2021
1.0.0-preview-783503343 531 4/25/2021
1.0.0-preview-783410550 560 4/25/2021
1.0.0-preview-781810429 506 4/25/2021
1.0.0-preview-775752139 592 4/22/2021
1.0.0-preview-774228953 545 4/22/2021
1.0.0-preview-769092916 560 4/21/2021
1.0.0-preview-768013090 532 4/20/2021
1.0.0-preview-762002995 507 4/19/2021
1.0.0-preview-761040762 567 4/18/2021
1.0.0-preview-761018834 596 4/18/2021
1.0.0-preview-756065403 508 4/16/2021
1.0.0-preview-755638011 508 4/16/2021
1.0.0-preview-752421465 539 4/15/2021
1.0.0-preview-748176085 524 4/14/2021
1.0.0-preview-746203897 510 4/13/2021
1.0.0-preview-746138300 543 4/13/2021
1.0.0-preview-745205599 487 4/13/2021
1.0.0-preview-739671157 519 4/12/2021
1.0.0-preview-712483117 528 4/2/2021
1.0.0-preview-699281085 467 3/29/2021
1.0.0-preview-699125312 521 3/29/2021
1.0.0-preview-698458610 568 3/29/2021
1.0.0-preview-697743517 589 3/29/2021
1.0.0-preview-697665469 526 3/29/2021
1.0.0-preview-690194555 532 3/26/2021
1.0.0-preview-688124591 499 3/25/2021
1.0.0-preview-687886352 501 3/25/2021
1.0.0-preview-681551353 540 3/24/2021
1.0.0-preview-681104545 546 3/23/2021
1.0.0-preview-680643606 574 3/23/2021
1.0.0-preview-679950457 526 3/23/2021
1.0.0-preview-669022451 532 3/19/2021
1.0.0-preview-643151273 432 3/11/2021
1.0.0-preview-633398743 509 3/8/2021
1.0.0-preview-633348953 510 3/8/2021
1.0.0-preview-621803110 574 3/4/2021
1.0.0-preview-611561611 558 3/1/2021
1.0.0-preview-611172961 479 3/1/2021
1.0.0-preview-593196134 453 2/23/2021
1.0.0-preview-589424126 507 2/22/2021
1.0.0-preview-589402583 536 2/22/2021
1.0.0-preview-586837684 481 2/21/2021
1.0.0-preview-586440747 529 2/21/2021
1.0.0-preview-498549439 551 1/20/2021
1.0.0-preview-485581354 551 1/14/2021
1.0.0-preview-392545720 632 11/30/2020
1.0.0-preview-392233243 592 11/30/2020
1.0.0-preview-392187079 634 11/30/2020
1.0.0-preview-390203270 573 11/29/2020
1.0.0-preview-387146713 654 11/27/2020
1.0.0-preview-386097798 689 11/26/2020
1.0.0-preview-385867359 695 11/26/2020
1.0.0-preview-385523380 577 11/26/2020
1.0.0-preview-384128234 674 11/25/2020
1.0.0-preview-374537774 640 11/20/2020
1.0.0-preview-374468367 568 11/20/2020
1.0.0-preview-368681212 615 11/17/2020
1.0.0-preview-368659044 689 11/17/2020
1.0.0-preview-364746088 704 11/15/2020
1.0.0-preview-364706087 656 11/15/2020
1.0.0-preview-363372268 586 11/14/2020
1.0.0-preview-362038354 607 11/13/2020
1.0.0-preview-362004577 622 11/13/2020
1.0.0-preview-361488593 559 11/13/2020
1.0.0-preview-360710530 615 11/13/2020
1.0.0-preview-359756455 620 11/12/2020
1.0.0-preview-358333968 641 11/11/2020
1.0.0-preview-358184921 652 11/11/2020
1.0.0-preview-358174946 624 11/11/2020
1.0.0-preview-349704450 716 11/6/2020
1.0.0-preview-349564717 698 11/6/2020
1.0.0-preview-343634015 699 11/3/2020
1.0.0-preview-343610434 629 11/3/2020
1.0.0-preview-328097867 907 10/26/2020
1.0.0-preview-322875134 653 10/22/2020
1.0.0-preview-315311536 597 10/19/2020
1.0.0-preview-309180753 632 10/15/2020
1.0.0-preview-309013019 690 10/15/2020
1.0.0-preview-308920132 608 10/15/2020
1.0.0-preview-308837132 643 10/15/2020
1.0.0-preview-308751690 647 10/15/2020
1.0.0-preview-308593840 653 10/15/2020
1.0.0-preview-299173506 728 10/10/2020
1.0.0-preview-292259854 726 10/6/2020
1.0.0-preview-291985511 680 10/6/2020
1.0.0-preview-291903007 629 10/6/2020
1.0.0-preview-291722399 694 10/6/2020
1.0.0-preview-284981464 641 10/2/2020
1.0.0-preview-284595614 612 10/2/2020
1.0.0-preview-280886714 691 9/30/2020
1.0.0-preview-278989673 639 9/29/2020
1.0.0-preview-277686264 621 9/29/2020
1.0.0-preview-277653295 647 9/29/2020
1.0.0-preview-275730148 705 9/28/2020
1.0.0-preview-275727262 672 9/28/2020
1.0.0-preview-267667710 703 9/22/2020
1.0.0-preview-263264614 733 9/20/2020
1.0.0-preview-263250971 765 9/20/2020
1.0.0-preview-262623253 621 9/19/2020
1.0.0-preview-258339834 649 9/16/2020
1.0.0-preview-258210544 690 9/16/2020
1.0.0-preview-258177528 735 9/16/2020
1.0.0-preview-258119380 727 9/16/2020
1.0.0-preview-256594931 687 9/16/2020
1.0.0-preview-256435175 735 9/15/2020
1.0.0-preview-253816091 639 9/14/2020
1.0.0-preview-253197654 662 9/14/2020
1.0.0-preview-247523274 612 9/10/2020
1.0.0-preview-247118168 687 9/9/2020
1.0.0-preview-246444372 744 9/9/2020
1.0.0-preview-246434361 719 9/9/2020
1.0.0-preview-246402060 593 9/9/2020
1.0.0-preview-245105781 623 9/8/2020
1.0.0-preview-244918410 676 9/8/2020
1.0.0-preview-243478925 621 9/7/2020
1.0.0-preview-243471084 638 9/7/2020
1.0.0-preview-243323135 747 9/7/2020
1.0.0-preview-1413494063 558 11/2/2021
1.0.0-preview-1405354284 512 10/31/2021
1.0.0-preview-1338129467 556 10/13/2021
1.0.0-preview-1327345305 651 10/11/2021
1.0.0-preview-1325686991 499 10/10/2021
1.0.0-preview-1324682939 656 10/10/2021
1.0.0-preview-1239345497 569 9/15/2021
1.0.0-preview-1227879651 564 9/13/2021
1.0.0-preview-1227810778 566 9/13/2021
1.0.0-preview-1222163389 549 9/10/2021
1.0.0-preview-1177844564 576 8/28/2021
1.0.0-preview-1176119659 484 8/28/2021
1.0.0-preview-1176116073 505 8/28/2021
1.0.0-preview-1176112166 468 8/28/2021
1.0.0-preview-1172193368 497 8/26/2021
1.0.0-preview-1168287221 484 8/25/2021
1.0.0-preview-1147185155 567 8/19/2021
1.0.0-preview-1133286135 605 8/15/2021
1.0.0-preview-1118120224 585 8/10/2021
1.0.0-preview-1111420036 499 8/9/2021
1.0.0-preview-1111385512 430 8/9/2021
1.0.0-preview-1111166736 496 8/9/2021
1.0.0-preview-1088380884 520 8/1/2021
1.0.0-preview-1088311063 525 8/1/2021
1.0.0-preview-1088021240 597 8/1/2021
1.0.0-preview-1083990424 548 7/31/2021
1.0.0-preview-1080710191 513 7/30/2021
1.0.0-preview-1080701269 541 7/30/2021
1.0.0-preview-1079028054 545 7/29/2021
1.0.0-preview-1079000079 541 7/29/2021
1.0.0-preview-1078977564 600 7/29/2021
1.0.0-preview-1069218438 456 7/26/2021
1.0.0-preview-1065692127 600 7/26/2021
1.0.0-preview-1054554829 501 7/22/2021
1.0.0-preview-1054460177 561 7/22/2021
1.0.0-preview-1044919966 522 7/19/2021
1.0.0-preview-1043697034 455 7/19/2021
1.0.0-preview-1001211231 548 7/5/2021
1.0.0-preview-1001204475 518 7/5/2021
0.9.5-preview-243240046 754 9/7/2020
0.9.5-preview-243219862 778 9/7/2020