DiffSharp.Backends.Torch 1.0.0-preview-322875134

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There is a newer version of this package available.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-322875134
                    
NuGet\Install-Package DiffSharp.Backends.Torch -Version 1.0.0-preview-322875134
                    
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-322875134" />
                    
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-322875134" />
                    
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-322875134
                    
#r "nuget: DiffSharp.Backends.Torch, 1.0.0-preview-322875134"
                    
#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-322875134&prerelease
                    
Install as a Cake Addin
#tool nuget:?package=DiffSharp.Backends.Torch&version=1.0.0-preview-322875134&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 6,083 3/26/2022
1.0.7-preview2044360861 452 3/26/2022
1.0.7-preview1873603133 493 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 6,713 2/9/2022
1.0.6-preview1838805210 472 2/14/2022
1.0.6-preview1838790927 551 2/14/2022
1.0.6-preview1838781533 496 2/14/2022
1.0.6-preview1838761310 458 2/14/2022
1.0.6-preview1838574327 538 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 4,929 2/8/2022
1.0.2 4,046 2/8/2022
1.0.1 4,893 11/8/2021
1.0.0-preview-987646120 647 6/30/2021
1.0.0-preview-964642900 610 6/23/2021
1.0.0-preview-964597118 471 6/23/2021
1.0.0-preview-964532207 531 6/23/2021
1.0.0-preview-964414624 537 6/23/2021
1.0.0-preview-962665709 392 6/23/2021
1.0.0-preview-961120541 439 6/22/2021
1.0.0-preview-958984202 474 6/22/2021
1.0.0-preview-783523654 616 4/25/2021
1.0.0-preview-783503343 516 4/25/2021
1.0.0-preview-783410550 543 4/25/2021
1.0.0-preview-781810429 484 4/25/2021
1.0.0-preview-775752139 576 4/22/2021
1.0.0-preview-774228953 530 4/22/2021
1.0.0-preview-769092916 541 4/21/2021
1.0.0-preview-768013090 516 4/20/2021
1.0.0-preview-762002995 490 4/19/2021
1.0.0-preview-761040762 552 4/18/2021
1.0.0-preview-761018834 579 4/18/2021
1.0.0-preview-756065403 492 4/16/2021
1.0.0-preview-755638011 491 4/16/2021
1.0.0-preview-752421465 520 4/15/2021
1.0.0-preview-748176085 506 4/14/2021
1.0.0-preview-746203897 494 4/13/2021
1.0.0-preview-746138300 525 4/13/2021
1.0.0-preview-745205599 470 4/13/2021
1.0.0-preview-739671157 503 4/12/2021
1.0.0-preview-712483117 511 4/2/2021
1.0.0-preview-699281085 452 3/29/2021
1.0.0-preview-699125312 506 3/29/2021
1.0.0-preview-698458610 552 3/29/2021
1.0.0-preview-697743517 572 3/29/2021
1.0.0-preview-697665469 510 3/29/2021
1.0.0-preview-690194555 515 3/26/2021
1.0.0-preview-688124591 482 3/25/2021
1.0.0-preview-687886352 486 3/25/2021
1.0.0-preview-681551353 521 3/24/2021
1.0.0-preview-681104545 531 3/23/2021
1.0.0-preview-680643606 557 3/23/2021
1.0.0-preview-679950457 510 3/23/2021
1.0.0-preview-669022451 515 3/19/2021
1.0.0-preview-643151273 417 3/11/2021
1.0.0-preview-633398743 493 3/8/2021
1.0.0-preview-633348953 495 3/8/2021
1.0.0-preview-621803110 558 3/4/2021
1.0.0-preview-611561611 539 3/1/2021
1.0.0-preview-611172961 460 3/1/2021
1.0.0-preview-593196134 439 2/23/2021
1.0.0-preview-589424126 492 2/22/2021
1.0.0-preview-589402583 522 2/22/2021
1.0.0-preview-586837684 464 2/21/2021
1.0.0-preview-586440747 514 2/21/2021
1.0.0-preview-498549439 536 1/20/2021
1.0.0-preview-485581354 534 1/14/2021
1.0.0-preview-392545720 615 11/30/2020
1.0.0-preview-392233243 575 11/30/2020
1.0.0-preview-392187079 619 11/30/2020
1.0.0-preview-390203270 558 11/29/2020
1.0.0-preview-387146713 639 11/27/2020
1.0.0-preview-386097798 672 11/26/2020
1.0.0-preview-385867359 677 11/26/2020
1.0.0-preview-385523380 563 11/26/2020
1.0.0-preview-384128234 658 11/25/2020
1.0.0-preview-374537774 622 11/20/2020
1.0.0-preview-374468367 552 11/20/2020
1.0.0-preview-368681212 600 11/17/2020
1.0.0-preview-368659044 675 11/17/2020
1.0.0-preview-364746088 682 11/15/2020
1.0.0-preview-364706087 641 11/15/2020
1.0.0-preview-363372268 572 11/14/2020
1.0.0-preview-362038354 592 11/13/2020
1.0.0-preview-362004577 605 11/13/2020
1.0.0-preview-361488593 542 11/13/2020
1.0.0-preview-360710530 602 11/13/2020
1.0.0-preview-359756455 607 11/12/2020
1.0.0-preview-358333968 626 11/11/2020
1.0.0-preview-358184921 637 11/11/2020
1.0.0-preview-358174946 608 11/11/2020
1.0.0-preview-349704450 700 11/6/2020
1.0.0-preview-349564717 680 11/6/2020
1.0.0-preview-343634015 683 11/3/2020
1.0.0-preview-343610434 614 11/3/2020
1.0.0-preview-328097867 892 10/26/2020
1.0.0-preview-322875134 635 10/22/2020
1.0.0-preview-315311536 581 10/19/2020
1.0.0-preview-309180753 615 10/15/2020
1.0.0-preview-309013019 672 10/15/2020
1.0.0-preview-308920132 593 10/15/2020
1.0.0-preview-308837132 628 10/15/2020
1.0.0-preview-308751690 632 10/15/2020
1.0.0-preview-308593840 636 10/15/2020
1.0.0-preview-299173506 713 10/10/2020
1.0.0-preview-292259854 709 10/6/2020
1.0.0-preview-291985511 664 10/6/2020
1.0.0-preview-291903007 614 10/6/2020
1.0.0-preview-291722399 678 10/6/2020
1.0.0-preview-284981464 628 10/2/2020
1.0.0-preview-284595614 597 10/2/2020
1.0.0-preview-280886714 676 9/30/2020
1.0.0-preview-278989673 624 9/29/2020
1.0.0-preview-277686264 605 9/29/2020
1.0.0-preview-277653295 630 9/29/2020
1.0.0-preview-275730148 688 9/28/2020
1.0.0-preview-275727262 658 9/28/2020
1.0.0-preview-267667710 687 9/22/2020
1.0.0-preview-263264614 718 9/20/2020
1.0.0-preview-263250971 752 9/20/2020
1.0.0-preview-262623253 605 9/19/2020
1.0.0-preview-258339834 636 9/16/2020
1.0.0-preview-258210544 676 9/16/2020
1.0.0-preview-258177528 718 9/16/2020
1.0.0-preview-258119380 710 9/16/2020
1.0.0-preview-256594931 670 9/16/2020
1.0.0-preview-256435175 721 9/15/2020
1.0.0-preview-253816091 623 9/14/2020
1.0.0-preview-253197654 645 9/14/2020
1.0.0-preview-247523274 598 9/10/2020
1.0.0-preview-247118168 674 9/9/2020
1.0.0-preview-246444372 727 9/9/2020
1.0.0-preview-246434361 705 9/9/2020
1.0.0-preview-246402060 578 9/9/2020
1.0.0-preview-245105781 607 9/8/2020
1.0.0-preview-244918410 661 9/8/2020
1.0.0-preview-243478925 607 9/7/2020
1.0.0-preview-243471084 622 9/7/2020
1.0.0-preview-243323135 732 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 536 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 553 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 529 9/10/2021
1.0.0-preview-1177844564 556 8/28/2021
1.0.0-preview-1176119659 469 8/28/2021
1.0.0-preview-1176116073 489 8/28/2021
1.0.0-preview-1176112166 448 8/28/2021
1.0.0-preview-1172193368 478 8/26/2021
1.0.0-preview-1168287221 467 8/25/2021
1.0.0-preview-1147185155 548 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 480 8/9/2021
1.0.0-preview-1088380884 502 8/1/2021
1.0.0-preview-1088311063 507 8/1/2021
1.0.0-preview-1088021240 579 8/1/2021
1.0.0-preview-1083990424 530 7/31/2021
1.0.0-preview-1080710191 496 7/30/2021
1.0.0-preview-1080701269 522 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 437 7/26/2021
1.0.0-preview-1065692127 584 7/26/2021
1.0.0-preview-1054554829 485 7/22/2021
1.0.0-preview-1054460177 545 7/22/2021
1.0.0-preview-1044919966 505 7/19/2021
1.0.0-preview-1043697034 439 7/19/2021
1.0.0-preview-1001211231 531 7/5/2021
1.0.0-preview-1001204475 501 7/5/2021
0.9.5-preview-243240046 738 9/7/2020
0.9.5-preview-243219862 762 9/7/2020