ResourceApplyAdadelta
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Actualice '*var' según el esquema adadelta.
acumulación = rho() * acumulación + (1 - rho()) * grad.square(); actualizar = (update_accum + epsilon).sqrt() * (accum + epsilon()).rsqrt() * graduado; update_accum = rho() * update_accum + (1 - rho()) * update.square(); var -= actualizar;
Constantes
Cadena | OP_NOMBRE | El nombre de esta operación, como lo conoce el motor central de TensorFlow. |
Métodos heredados
De la clase java.lang.Object booleano | es igual (Objeto arg0) |
Clase final<?> | obtenerclase () |
En t | código hash () |
vacío final | notificar () |
vacío final | notificar a todos () |
Cadena | Encadenar () |
vacío final | esperar (arg0 largo, int arg1) |
vacío final | espera (largo arg0) |
vacío final | esperar () |
Constantes
Cadena final estática pública OP_NAME
El nombre de esta operación, como lo conoce el motor central de TensorFlow.
Valor constante: "ResourceApplyAdadelta"
Métodos públicos
Método de fábrica para crear una clase que envuelve una nueva operación ResourceApplyAdadelta.
Parámetros
alcance | alcance actual |
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var | Debe ser de una Variable(). |
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acumular | Debe ser de una Variable(). |
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acumularActualización | Debe ser de una Variable(). |
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lr | Factor de escala. Debe ser un escalar. |
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rho | Factor de decadencia. Debe ser un escalar. |
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épsilon | Factor constante. Debe ser un escalar. |
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graduado | El gradiente. |
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opciones | lleva valores de atributos opcionales |
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Devoluciones
- una nueva instancia de ResourceApplyAdadelta
Parámetros
utilizarBloqueo | Si es Verdadero, la actualización de los tensores var, accum y update_accum estará protegida por un bloqueo; de lo contrario, el comportamiento no está definido, pero puede presentar menos contención. |
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A menos que se indique lo contrario, el contenido de esta página está sujeto a la licencia Reconocimiento 4.0 de Creative Commons y las muestras de código están sujetas a la licencia Apache 2.0. Para obtener más información, consulta las políticas del sitio web de Google Developers. Java es una marca registrada de Oracle o sus afiliados.
Última actualización: 2025-07-26 (UTC).
[null,null,["Última actualización: 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|------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------|"]]