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doc/go_mem.html
</p> <p> The memory model describes the requirements on program executions, which are made up of goroutine executions, which in turn are made up of memory operations. </p> <p> A <i>memory operation</i> is modeled by four details: </p> <ul> <li>its kind, indicating whether it is an ordinary data read, an ordinary data write, or a <i>synchronizing operation</i> such as an atomic data access,
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Mar 04 15:54:42 UTC 2024 - 26.6K bytes - Viewed (0) -
docs/fr/docs/tutorial/path-params.md
!!! tip "Astuce" Pour ceux qui se demandent, "AlexNet", "ResNet", et "LeNet" sont juste des noms de <abbr title="Techniquement, des architectures de modèles">modèles</abbr> de Machine Learning. ### Déclarer un paramètre de chemin Créez ensuite un *paramètre de chemin* avec une annotation de type désignant l'énumération créée précédemment (`ModelName`) :
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Thu Apr 18 19:53:19 UTC 2024 - 10K bytes - Viewed (0) -
platforms/core-runtime/logging/src/main/java/org/gradle/internal/featurelifecycle/LoggingDeprecatedFeatureHandler.java
InternalProblemSpec problemSpec = builder // usage.getKind() could be be part of the problem ID, however it provides hints on the problem provenance which should be modeled differently, maybe as location data. .id(getDefaultDeprecationIdDisplayName(usage), usage.getProblemIdDisplayName(), GradleCoreProblemGroup.deprecation()) .contextualLabel(usage.getSummary())
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Tue May 28 13:09:37 UTC 2024 - 12.4K bytes - Viewed (0) -
pom.xml
<configuration> <argLine>-Xmx256m</argLine> </configuration> </plugin> <plugin> <groupId>org.codehaus.modello</groupId> <artifactId>modello-maven-plugin</artifactId> <!-- TODO: Remove with parent 43 --> <version>2.4.0</version> <configuration>
Registered: Wed Jun 12 09:55:16 UTC 2024 - Last Modified: Tue Jun 11 09:13:34 UTC 2024 - 33.9K bytes - Viewed (0) -
docs/de/docs/tutorial/path-params.md
!!! tip "Tipp" Falls Sie sich fragen, was „AlexNet“, „ResNet“ und „LeNet“ ist, das sind Namen von <abbr title="Genau genommen, Deep-Learning-Modellarchitekturen">Modellen</abbr> für maschinelles Lernen. ### Deklarieren Sie einen *Pfad-Parameter* Dann erstellen Sie einen *Pfad-Parameter*, der als Typ die gerade erstellte Enum-Klasse hat (`ModelName`): ```Python hl_lines="16"
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Sat Mar 30 20:28:59 UTC 2024 - 10.3K bytes - Viewed (0) -
docs/de/docs/features.md
* Validierung von **komplexen Strukturen**: * Benutzung von hierarchischen Pydantic-Modellen, Python-`typing`s `List` und `Dict`, etc. * Die Validierer erlauben es, komplexe Datenschemen klar und einfach zu definieren, überprüft und dokumentiert als JSON Schema.
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Sat Mar 30 19:43:43 UTC 2024 - 10.8K bytes - Viewed (0) -
cmd/sftp-server-driver.go
minio.PutObjectOptions{DisableContentSha256: true}, ) return err } return NotImplemented{} } type listerAt []os.FileInfo // Modeled after strings.Reader's ReadAt() implementation func (f listerAt) ListAt(ls []os.FileInfo, offset int64) (int, error) { var n int if offset >= int64(len(f)) { return 0, io.EOF } n = copy(ls, f[offset:])
Registered: Sun Jun 16 00:44:34 UTC 2024 - Last Modified: Wed Jun 05 07:51:13 UTC 2024 - 11.1K bytes - Viewed (0) -
docs/de/docs/tutorial/security/simple-oauth2.md
disabled = user_dict["disabled"], hashed_password = user_dict["hashed_password"], ) ``` !!! info Eine ausführlichere Erklärung von `**user_dict` finden Sie in [der Dokumentation für **Extra Modelle**](../extra-models.md#uber-user_indict){.internal-link target=_blank}. ## Den Token zurückgeben Die Response des `token`-Endpunkts muss ein JSON-Objekt sein.
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Sat Mar 30 18:08:44 UTC 2024 - 14.3K bytes - Viewed (0) -
docs/tr/docs/tutorial/first-steps.md
### Adım 5: İçeriği Geri Döndürün ```Python hl_lines="8" {!../../../docs_src/first_steps/tutorial001.py!} ``` Bir `dict`, `list` veya `str`, `int` gibi tekil değerler döndürebilirsiniz. Ayrıca, Pydantic modelleri de döndürebilirsiniz (bu konu ileriki aşamalarda irdelenecektir).
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Thu Feb 08 13:10:55 UTC 2024 - 10.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfr/tests/end2end.mlir
tfr.return %ret : !tfr.tensor } //=================> signatures of the primitive ops with kernels, modeled as external TFR function <== tfr.func @tf__risc_cast_(!tfr.tensor, !tfr.attr{tfr.name="Tout"}) -> !tfr.tensor<Tout> attributes{Tout} tfr.func @tf__risc_add_(!tfr.tensor<T>, !tfr.tensor<T>) -> !tfr.tensor<T> attributes{T}
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 13.4K bytes - Viewed (0)