ResourceApplyAdadelta
Restez organisé à l'aide des collections
Enregistrez et classez les contenus selon vos préférences.
Mettez à jour '*var' selon le schéma adadelta.
cumul = rho() * cumul + (1 - rho()) * grad.square(); update = (update_accum + epsilon).sqrt() * (accum + epsilon()).rsqrt() * grad; update_accum = rho() * update_accum + (1 - rho()) * update.square(); var -= mise à jour ;
Constantes
Chaîne | OP_NAME | Le nom de cette opération, tel que connu par le moteur principal TensorFlow |
Méthodes héritées
De la classe java.lang.Object booléen | est égal à (Objet arg0) |
Classe finale<?> | obtenirClasse () |
int | Code de hachage () |
vide final | notifier () |
vide final | notifierTous () |
Chaîne | àChaîne () |
vide final | attendre (long arg0, int arg1) |
vide final | attendez (long arg0) |
vide final | attendez () |
Constantes
chaîne finale statique publique OP_NAME
Le nom de cette opération, tel que connu par le moteur principal TensorFlow
Valeur constante : "ResourceApplyAdadelta"
Méthodes publiques
Méthode d'usine pour créer une classe encapsulant une nouvelle opération ResourceApplyAdadelta.
Paramètres
portée | portée actuelle |
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var | Doit provenir d'une variable (). |
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cumuler | Doit provenir d'une variable (). |
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cumulMise à jour | Doit provenir d'une variable (). |
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g / D | Facteur d'échelle. Ça doit être un scalaire. |
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rho | Facteur de décomposition. Ça doit être un scalaire. |
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épsilon | Facteur constant. Ça doit être un scalaire. |
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diplômé | Le dégradé. |
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choix | porte des valeurs d'attributs facultatifs |
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Retour
- une nouvelle instance de ResourceApplyAdadelta
Paramètres
utiliserVerrouillage | Si True, la mise à jour des tenseurs var, accum et update_accum sera protégée par un verrou ; sinon, le comportement n'est pas défini, mais peut présenter moins de conflits. |
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Sauf indication contraire, le contenu de cette page est régi par une licence Creative Commons Attribution 4.0, et les échantillons de code sont régis par une licence Apache 2.0. Pour en savoir plus, consultez les Règles du site Google Developers. Java est une marque déposée d'Oracle et/ou de ses sociétés affiliées.
Dernière mise à jour le 2025/07/26 (UTC).
[null,null,["Dernière mise à jour le 2025/07/26 (UTC)."],[],[],null,["# ResourceApplyAdadelta\n\npublic final class **ResourceApplyAdadelta** \nUpdate '\\*var' according to the adadelta scheme.\n\n\naccum = rho() \\* accum + (1 - rho()) \\* grad.square();\nupdate = (update_accum + epsilon).sqrt() \\* (accum + epsilon()).rsqrt() \\* grad;\nupdate_accum = rho() \\* update_accum + (1 - rho()) \\* update.square();\nvar -= update;\n\n\u003cbr /\u003e\n\n### Nested Classes\n\n|-------|---|---|-------------------------------------------------------------------------------------------------------------------|\n| class | [ResourceApplyAdadelta.Options](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyAdadelta.Options) || Optional attributes for [ResourceApplyAdadelta](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyAdadelta) |\n\n### Constants\n\n|--------|-------------------------------------------------------------------------------------|---------------------------------------------------------|\n| String | [OP_NAME](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyAdadelta#OP_NAME) | The name of this op, as known by TensorFlow core engine |\n\n### Public Methods\n\n|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| static \\\u003cT extends [TType](/jvm/api_docs/java/org/tensorflow/types/family/TType)\\\u003e [ResourceApplyAdadelta](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyAdadelta) | [create](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyAdadelta#create(org.tensorflow.op.Scope, org.tensorflow.Operand\u003c?\u003e, org.tensorflow.Operand\u003c?\u003e, org.tensorflow.Operand\u003c?\u003e, org.tensorflow.Operand\u003cT\u003e, org.tensorflow.Operand\u003cT\u003e, org.tensorflow.Operand\u003cT\u003e, org.tensorflow.Operand\u003cT\u003e, org.tensorflow.op.train.ResourceApplyAdadelta.Options...))([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e var, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e accum, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e accumUpdate, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e lr, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e rho, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e epsilon, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e grad, [Options...](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyAdadelta.Options) options) Factory method to create a class wrapping a new ResourceApplyAdadelta operation. |\n| static [ResourceApplyAdadelta.Options](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyAdadelta.Options) | [useLocking](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyAdadelta#useLocking(java.lang.Boolean))(Boolean useLocking) |\n\n### Inherited Methods\n\nFrom class [org.tensorflow.op.RawOp](/jvm/api_docs/java/org/tensorflow/op/RawOp) \n\n|----------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| final boolean | [equals](/jvm/api_docs/java/org/tensorflow/op/RawOp#equals(java.lang.Object))(Object obj) |\n| final int | [hashCode](/jvm/api_docs/java/org/tensorflow/op/RawOp#hashCode())() |\n| [Operation](/jvm/api_docs/java/org/tensorflow/Operation) | [op](/jvm/api_docs/java/org/tensorflow/op/RawOp#op())() Return this unit of computation as a single [Operation](/jvm/api_docs/java/org/tensorflow/Operation). |\n| final String | [toString](/jvm/api_docs/java/org/tensorflow/op/RawOp#toString())() |\n\nFrom class java.lang.Object \n\n|------------------|---------------------------|\n| boolean | equals(Object arg0) |\n| final Class\\\u003c?\\\u003e | getClass() |\n| int | hashCode() |\n| final void | notify() |\n| final void | notifyAll() |\n| String | toString() |\n| final void | wait(long arg0, int arg1) |\n| final void | wait(long arg0) |\n| final void | wait() |\n\nFrom interface [org.tensorflow.op.Op](/jvm/api_docs/java/org/tensorflow/op/Op) \n\n|-----------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| abstract [ExecutionEnvironment](/jvm/api_docs/java/org/tensorflow/ExecutionEnvironment) | [env](/jvm/api_docs/java/org/tensorflow/op/Op#env())() Return the execution environment this op was created in. |\n| abstract [Operation](/jvm/api_docs/java/org/tensorflow/Operation) | [op](/jvm/api_docs/java/org/tensorflow/op/Op#op())() Return this unit of computation as a single [Operation](/jvm/api_docs/java/org/tensorflow/Operation). |\n\nConstants\n---------\n\n#### public static final String\n**OP_NAME**\n\nThe name of this op, as known by TensorFlow core engine \nConstant Value: \"ResourceApplyAdadelta\"\n\nPublic Methods\n--------------\n\n#### public static [ResourceApplyAdadelta](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyAdadelta)\n**create**\n([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e var, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e accum, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e accumUpdate, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e lr, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e rho, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e epsilon, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e grad, [Options...](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyAdadelta.Options) options)\n\nFactory method to create a class wrapping a new ResourceApplyAdadelta operation. \n\n##### Parameters\n\n| scope | current scope |\n| var | Should be from a Variable(). |\n| accum | Should be from a Variable(). |\n| accumUpdate | Should be from a Variable(). |\n| lr | Scaling factor. Must be a scalar. |\n| rho | Decay factor. Must be a scalar. |\n| epsilon | Constant factor. Must be a scalar. |\n| grad | The gradient. |\n| options | carries optional attributes values |\n|-------------|------------------------------------|\n\n##### Returns\n\n- a new instance of ResourceApplyAdadelta \n\n#### public static [ResourceApplyAdadelta.Options](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyAdadelta.Options)\n**useLocking**\n(Boolean useLocking)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| useLocking | If True, updating of the var, accum and update_accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention. |\n|------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------|"]]