ResourceApplyProximalGradientDescent
Restez organisé à l'aide des collections
Enregistrez et classez les contenus selon vos préférences.
Mettez à jour '*var' en tant qu'algorithme FOBOS avec un taux d'apprentissage fixe.
prox_v = var - alpha delta var = signe(prox_v)/(1+alpha l2) max{|prox_v|-alpha l1,0}
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 : "ResourceApplyProximalGradientDescent"
Méthodes publiques
Méthode d'usine pour créer une classe encapsulant une nouvelle opération ResourceApplyProximalGradientDescent.
Paramètres
portée | portée actuelle |
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var | Doit provenir d'une variable (). |
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alpha | Facteur d'échelle. Ça doit être un scalaire. |
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l1 | Régularisation L1. Ça doit être un scalaire. |
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l2 | Régularisation L2. Ça doit être un scalaire. |
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delta | Le changement. |
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choix | porte des valeurs d'attributs facultatifs |
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Retour
- une nouvelle instance de ResourceApplyProximalGradientDescent
Paramètres
utiliserVerrouillage | Si True, la soustraction 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,["# ResourceApplyProximalGradientDescent\n\npublic final class **ResourceApplyProximalGradientDescent** \nUpdate '\\*var' as FOBOS algorithm with fixed learning rate.\n\n\nprox_v = var - alpha *delta\nvar = sign(prox_v)/(1+alpha* l2) *max{\\|prox_v\\|-alpha*l1,0}\n\n\u003cbr /\u003e\n\n### Nested Classes\n\n|-------|---|---|-------------------------------------------------------------------------------------------------------------------------------------------------|\n| class | [ResourceApplyProximalGradientDescent.Options](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyProximalGradientDescent.Options) || Optional attributes for [ResourceApplyProximalGradientDescent](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyProximalGradientDescent) |\n\n### Constants\n\n|--------|----------------------------------------------------------------------------------------------------|---------------------------------------------------------|\n| String | [OP_NAME](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyProximalGradientDescent#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 [ResourceApplyProximalGradientDescent](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyProximalGradientDescent) | [create](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyProximalGradientDescent#create(org.tensorflow.op.Scope, 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.ResourceApplyProximalGradientDescent.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)\\\u003cT\\\u003e alpha, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e l1, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e l2, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e delta, [Options...](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyProximalGradientDescent.Options) options) Factory method to create a class wrapping a new ResourceApplyProximalGradientDescent operation. |\n| static [ResourceApplyProximalGradientDescent.Options](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyProximalGradientDescent.Options) | [useLocking](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyProximalGradientDescent#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: \"ResourceApplyProximalGradientDescent\"\n\nPublic Methods\n--------------\n\n#### public static [ResourceApplyProximalGradientDescent](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyProximalGradientDescent)\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)\\\u003cT\\\u003e alpha, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e l1, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e l2, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e delta, [Options...](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyProximalGradientDescent.Options) options)\n\nFactory method to create a class wrapping a new ResourceApplyProximalGradientDescent operation. \n\n##### Parameters\n\n| scope | current scope |\n| var | Should be from a Variable(). |\n| alpha | Scaling factor. Must be a scalar. |\n| l1 | L1 regularization. Must be a scalar. |\n| l2 | L2 regularization. Must be a scalar. |\n| delta | The change. |\n| options | carries optional attributes values |\n|---------|--------------------------------------|\n\n##### Returns\n\n- a new instance of ResourceApplyProximalGradientDescent \n\n#### public static [ResourceApplyProximalGradientDescent.Options](/jvm/api_docs/java/org/tensorflow/op/train/ResourceApplyProximalGradientDescent.Options)\n**useLocking**\n(Boolean useLocking)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| useLocking | If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention. |\n|------------|-----------------------------------------------------------------------------------------------------------------------------|"]]