DiffSharp.Backends.Reference 1.0.7

dotnet add package DiffSharp.Backends.Reference --version 1.0.7                
NuGet\Install-Package DiffSharp.Backends.Reference -Version 1.0.7                
此命令应用于 Visual Studio 的包管理器控制台内,因为它使用 NuGet 模块的 Install-Package 版本。
<PackageReference Include="DiffSharp.Backends.Reference" Version="1.0.7" />                
对于支持 PackageReference 的项目,将此 XML 节点复制到项目文件中以引用该包。
paket add DiffSharp.Backends.Reference --version 1.0.7                
#r "nuget: DiffSharp.Backends.Reference, 1.0.7"                
#r 指令可以在 F# Interactive 和多语言笔记本中使用。将其复制到交互式工具或脚本的源代码中以引用该包。
// Install DiffSharp.Backends.Reference as a Cake Addin
#addin nuget:?package=DiffSharp.Backends.Reference&version=1.0.7

// Install DiffSharp.Backends.Reference as a Cake Tool
#tool nuget:?package=DiffSharp.Backends.Reference&version=1.0.7                

DiffSharp 是一个支持可微分编程的张量库,适用于机器学习、概率编程、优化等领域。有关文档和安装说明,请访问:https://diffsharp.github.io/

产品 兼容及额外的计算目标框架版本。
.NET net5.0 已计算。 net5.0-windows 已计算。 net6.0 已计算。 net6.0-android 已计算。 net6.0-ios 已计算。 net6.0-maccatalyst 已计算。 net6.0-macos 已计算。 net6.0-tvos 已计算。 net6.0-windows 已计算。 net7.0 已计算。 net7.0-android 已计算。 net7.0-ios 已计算。 net7.0-maccatalyst 已计算。 net7.0-macos 已计算。 net7.0-tvos 已计算。 net7.0-windows 已计算。 net8.0 已计算。 net8.0-android 已计算。 net8.0-browser 已计算。 net8.0-ios 已计算。 net8.0-maccatalyst 已计算。 net8.0-macos 已计算。 net8.0-tvos 已计算。 net8.0-windows 已计算。
.NET Core netcoreapp3.0 已计算。 netcoreapp3.1 已计算。
.NET Standard netstandard2.1 兼容。
MonoAndroid monoandroid 已计算。
MonoMac monomac 已计算。
MonoTouch monotouch 已计算。
Tizen tizen60 已计算。
Xamarin.iOS xamarinios 已计算。
Xamarin.Mac xamarinmac 已计算。
Xamarin.TVOS xamarintvos 已计算。
Xamarin.WatchOS xamarinwatchos 已计算。
兼容的目标框架
包含的目标框架(在包中)
详细了解 目标框架.NET Standard

NuGet 包 (4)

显示依赖 DiffSharp.Backends.Reference 的 top 4 NuGet 包

下载
DiffSharp-cuda-windows

DiffSharp 是一个支持可微分编程的tensor库,它适用于机器学习、概率编程、优化和其他领域。有关文档和安装说明,请访问:https://diffsharp.github.io/

DiffSharp-cuda-linux

DiffSharp 是一个支持可微分编程的tensor库,它适用于机器学习、概率编程、优化和其他领域。有关文档和安装说明,请访问:https://diffsharp.github.io/

DiffSharp-cpu

DiffSharp 是一个支持可微分编程的tensor库,它适用于机器学习、概率编程、优化和其他领域。有关文档和安装说明,请访问:https://diffsharp.github.io/

DiffSharp-lite

DiffSharp 是一个支持可微分编程的tensor库,它适用于机器学习、概率编程、优化和其他领域。有关文档和安装说明,请访问:https://diffsharp.github.io/

GitHub 仓库

此包未在任何流行的 GitHub 仓库中使用。

版本 下载 最后更新
1.0.7 3,860 3/26/2022
1.0.7-preview2044360861 283 3/26/2022
1.0.7-preview1873603133 334 2/21/2022
1.0.7-preview1872895008 282 2/20/2022
1.0.7-preview1872194677 320 2/20/2022
1.0.7-preview1867437105 265 2/19/2022
1.0.7-preview1838897476 305 2/14/2022
1.0.7-preview1838869913 300 2/14/2022
1.0.6 5,717 2/9/2022
1.0.6-preview1838805210 314 2/14/2022
1.0.6-preview1838790927 360 2/14/2022
1.0.6-preview1838781533 345 2/14/2022
1.0.6-preview1838761310 292 2/14/2022
1.0.6-preview1838574327 359 2/14/2022
1.0.6-preview1838238393 309 2/13/2022
1.0.6-preview1837967313 308 2/13/2022
1.0.6-preview1837932839 222 2/13/2022
1.0.6-preview1837857091 220 2/13/2022
1.0.5 3,001 2/9/2022
1.0.4 3,294 2/8/2022
1.0.3 4,255 2/8/2022
1.0.2 3,256 2/8/2022
1.0.1 3,969 11/8/2021
1.0.0-preview-987646120 520 6/30/2021
1.0.0-preview-964642900 460 6/23/2021
1.0.0-preview-964597118 335 6/23/2021
1.0.0-preview-964532207 401 6/23/2021
1.0.0-preview-964414624 380 6/23/2021
1.0.0-preview-962665709 281 6/23/2021
1.0.0-preview-961120541 312 6/22/2021
1.0.0-preview-958984202 356 6/22/2021
1.0.0-preview-783523654 450 4/25/2021
1.0.0-preview-783503343 398 4/25/2021
1.0.0-preview-783410550 410 4/25/2021
1.0.0-preview-781810429 331 4/25/2021
1.0.0-preview-775752139 405 4/22/2021
1.0.0-preview-774228953 365 4/22/2021
1.0.0-preview-769092916 407 4/21/2021
1.0.0-preview-768013090 368 4/20/2021
1.0.0-preview-762002995 346 4/19/2021
1.0.0-preview-761040762 423 4/18/2021
1.0.0-preview-761018834 397 4/18/2021
1.0.0-preview-756065403 343 4/16/2021
1.0.0-preview-755638011 391 4/16/2021
1.0.0-preview-752421465 376 4/15/2021
1.0.0-preview-748176085 377 4/14/2021
1.0.0-preview-746203897 351 4/13/2021
1.0.0-preview-746138300 354 4/13/2021
1.0.0-preview-745205599 347 4/13/2021
1.0.0-preview-739671157 374 4/12/2021
1.0.0-preview-712483117 392 4/2/2021
1.0.0-preview-699281085 338 3/29/2021
1.0.0-preview-699125312 359 3/29/2021
1.0.0-preview-698458610 421 3/29/2021
1.0.0-preview-697743517 419 3/29/2021
1.0.0-preview-697665469 377 3/29/2021
1.0.0-preview-690194555 397 3/26/2021
1.0.0-preview-688124591 370 3/25/2021
1.0.0-preview-687886352 348 3/25/2021
1.0.0-preview-681551353 371 3/24/2021
1.0.0-preview-681104545 391 3/23/2021
1.0.0-preview-680643606 422 3/23/2021
1.0.0-preview-679950457 385 3/23/2021
1.0.0-preview-669022451 251 3/19/2021
1.0.0-preview-643151273 242 3/11/2021
1.0.0-preview-633398743 254 3/8/2021
1.0.0-preview-633348953 278 3/8/2021
1.0.0-preview-621803110 267 3/4/2021
1.0.0-preview-611561611 241 3/1/2021
1.0.0-preview-611172961 242 3/1/2021
1.0.0-preview-593196134 228 2/23/2021
1.0.0-preview-589424126 238 2/22/2021
1.0.0-preview-589402583 222 2/22/2021
1.0.0-preview-586837684 249 2/21/2021
1.0.0-preview-586440747 253 2/21/2021
1.0.0-preview-498549439 280 1/20/2021
1.0.0-preview-485581354 260 1/14/2021
1.0.0-preview-392545720 325 11/30/2020
1.0.0-preview-392233243 323 11/30/2020
1.0.0-preview-392187079 331 11/30/2020
1.0.0-preview-390203270 324 11/29/2020
1.0.0-preview-387146713 305 11/27/2020
1.0.0-preview-386097798 343 11/26/2020
1.0.0-preview-385867359 328 11/26/2020
1.0.0-preview-385523380 269 11/26/2020
1.0.0-preview-384128234 361 11/25/2020
1.0.0-preview-374537774 289 11/20/2020
1.0.0-preview-374468367 292 11/20/2020
1.0.0-preview-368681212 347 11/17/2020
1.0.0-preview-368659044 338 11/17/2020
1.0.0-preview-364746088 379 11/15/2020
1.0.0-preview-364706087 378 11/15/2020
1.0.0-preview-363372268 294 11/14/2020
1.0.0-preview-362038354 318 11/13/2020
1.0.0-preview-362004577 300 11/13/2020
1.0.0-preview-361488593 301 11/13/2020
1.0.0-preview-360710530 291 11/13/2020
1.0.0-preview-359756455 309 11/12/2020
1.0.0-preview-358333968 336 11/11/2020
1.0.0-preview-358184921 344 11/11/2020
1.0.0-preview-358174946 358 11/11/2020
1.0.0-preview-349704450 419 11/6/2020
1.0.0-preview-349564717 353 11/6/2020
1.0.0-preview-343634015 363 11/3/2020
1.0.0-preview-343610434 340 11/3/2020
1.0.0-preview-328097867 534 10/26/2020
1.0.0-preview-322875134 364 10/22/2020
1.0.0-preview-315311536 353 10/19/2020
1.0.0-preview-309180753 346 10/15/2020
1.0.0-preview-309013019 376 10/15/2020
1.0.0-preview-308920132 316 10/15/2020
1.0.0-preview-308837132 349 10/15/2020
1.0.0-preview-308751690 351 10/15/2020
1.0.0-preview-308593840 340 10/15/2020
1.0.0-preview-299173506 420 10/10/2020
1.0.0-preview-292259854 416 10/6/2020
1.0.0-preview-291985511 366 10/6/2020
1.0.0-preview-291903007 330 10/6/2020
1.0.0-preview-291722399 358 10/6/2020
1.0.0-preview-284981464 340 10/2/2020
1.0.0-preview-284595614 310 10/2/2020
1.0.0-preview-280886714 388 9/30/2020
1.0.0-preview-278989673 345 9/29/2020
1.0.0-preview-277686264 345 9/29/2020
1.0.0-preview-277653295 378 9/29/2020
1.0.0-preview-275730148 403 9/28/2020
1.0.0-preview-275727262 370 9/28/2020
1.0.0-preview-267667710 411 9/22/2020
1.0.0-preview-263264614 456 9/20/2020
1.0.0-preview-263250971 472 9/20/2020
1.0.0-preview-262623253 341 9/19/2020
1.0.0-preview-258339834 395 9/16/2020
1.0.0-preview-258210544 416 9/16/2020
1.0.0-preview-258177528 407 9/16/2020
1.0.0-preview-258119380 405 9/16/2020
1.0.0-preview-256594931 377 9/16/2020
1.0.0-preview-256435175 444 9/15/2020
1.0.0-preview-253816091 340 9/14/2020
1.0.0-preview-253197654 356 9/14/2020
1.0.0-preview-247523274 376 9/10/2020
1.0.0-preview-247118168 347 9/9/2020
1.0.0-preview-246444372 457 9/9/2020
1.0.0-preview-246434361 431 9/9/2020
1.0.0-preview-246402060 333 9/9/2020
1.0.0-preview-245105781 336 9/8/2020
1.0.0-preview-244918410 391 9/8/2020
1.0.0-preview-243478925 329 9/7/2020
1.0.0-preview-243471084 310 9/7/2020
1.0.0-preview-243323135 433 9/7/2020
1.0.0-preview-1413494063 400 11/2/2021
1.0.0-preview-1405354284 371 10/31/2021
1.0.0-preview-1338129467 392 10/13/2021
1.0.0-preview-1327345305 464 10/11/2021
1.0.0-preview-1325686991 364 10/10/2021
1.0.0-preview-1324682939 490 10/10/2021
1.0.0-preview-1239345497 425 9/15/2021
1.0.0-preview-1227879651 417 9/13/2021
1.0.0-preview-1227810778 413 9/13/2021
1.0.0-preview-1222163389 394 9/10/2021
1.0.0-preview-1177844564 416 8/28/2021
1.0.0-preview-1176119659 359 8/28/2021
1.0.0-preview-1176116073 367 8/28/2021
1.0.0-preview-1176112166 352 8/28/2021
1.0.0-preview-1172193368 320 8/26/2021
1.0.0-preview-1168287221 343 8/25/2021
1.0.0-preview-1147185155 418 8/19/2021
1.0.0-preview-1133286135 410 8/15/2021
1.0.0-preview-1118120224 421 8/10/2021
1.0.0-preview-1111420036 330 8/9/2021
1.0.0-preview-1111385512 341 8/9/2021
1.0.0-preview-1111166736 363 8/9/2021
1.0.0-preview-1088380884 360 8/1/2021
1.0.0-preview-1088311063 381 8/1/2021
1.0.0-preview-1088021240 437 8/1/2021
1.0.0-preview-1083990424 396 7/31/2021
1.0.0-preview-1080710191 402 7/30/2021
1.0.0-preview-1080701269 416 7/30/2021
1.0.0-preview-1079028054 431 7/29/2021
1.0.0-preview-1079000079 425 7/29/2021
1.0.0-preview-1078977564 437 7/29/2021
1.0.0-preview-1069218438 323 7/26/2021
1.0.0-preview-1065692127 430 7/26/2021
1.0.0-preview-1054554829 369 7/22/2021
1.0.0-preview-1054460177 385 7/22/2021
1.0.0-preview-1044919966 337 7/19/2021
1.0.0-preview-1043697034 323 7/19/2021
1.0.0-preview-1001211231 380 7/5/2021
1.0.0-preview-1001204475 357 7/5/2021
0.9.5-preview-243240046 400 9/7/2020
0.9.5-preview-243219862 397 9/7/2020