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tensoreflusso:: ops:: ResourceApplyGradientDescent
#include <training_ops.h>
Aggiorna '*var' sottraendo da esso 'alpha' * 'delta'.
Riepilogo
Argomenti:
- scope: un oggetto Scope
- var: dovrebbe provenire da una variabile().
- alfa: fattore di scala. Deve essere uno scalare.
- delta: il cambiamento.
Attributi facoltativi (vedi Attrs
):
- use_locking: Se
True
, la sottrazione sarà protetta da un lucchetto; altrimenti il comportamento non è definito, ma può mostrare meno contesa.
Resi:
Attributi pubblici
Funzioni pubbliche
operator::tensorflow::Operazione
operator::tensorflow::Operation() const
Funzioni pubbliche statiche
UsaLocking
Attrs UseLocking(
bool x
)
Salvo quando diversamente specificato, i contenuti di questa pagina sono concessi in base alla licenza Creative Commons Attribution 4.0, mentre gli esempi di codice sono concessi in base alla licenza Apache 2.0. Per ulteriori dettagli, consulta le norme del sito di Google Developers. Java è un marchio registrato di Oracle e/o delle sue consociate.
Ultimo aggiornamento 2025-07-25 UTC.
[null,null,["Ultimo aggiornamento 2025-07-25 UTC."],[],[],null,["# tensorflow::ops::ResourceApplyGradientDescent Class Reference\n\ntensorflow::ops::ResourceApplyGradientDescent\n=============================================\n\n`#include \u003ctraining_ops.h\u003e`\n\nUpdate '\\*var' by subtracting 'alpha' \\* 'delta' from it.\n\nSummary\n-------\n\nArguments:\n\n- scope: A [Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- var: Should be from a Variable().\n- alpha: Scaling factor. Must be a scalar.\n- delta: The change.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-apply-gradient-descent/attrs#structtensorflow_1_1ops_1_1_resource_apply_gradient_descent_1_1_attrs)):\n\n- use_locking: If `True`, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.\n\n\u003cbr /\u003e\n\nReturns:\n\n- the created [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation)\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [ResourceApplyGradientDescent](#classtensorflow_1_1ops_1_1_resource_apply_gradient_descent_1ad2c03e2384a20f89b22a617a6bef1266)`(const ::`[tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` var, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` alpha, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` delta)` ||\n| [ResourceApplyGradientDescent](#classtensorflow_1_1ops_1_1_resource_apply_gradient_descent_1adaccd5611930bc42bc3813780e45ec68)`(const ::`[tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` var, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` alpha, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` delta, const `[ResourceApplyGradientDescent::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-apply-gradient-descent/attrs#structtensorflow_1_1ops_1_1_resource_apply_gradient_descent_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_resource_apply_gradient_descent_1a0ed7094e3b62584bc00bd0a2de76737c) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n\n| ### Public functions ||\n|----------------------------------------------------------------------------------------------------------------------------------------------|---------|\n| [operator::tensorflow::Operation](#classtensorflow_1_1ops_1_1_resource_apply_gradient_descent_1a063bfdd6045330eed2802d02a8a00c8e)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [UseLocking](#classtensorflow_1_1ops_1_1_resource_apply_gradient_descent_1a48f17ade21c3f87c38fbfa29434ba55c)`(bool x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-apply-gradient-descent/attrs#structtensorflow_1_1ops_1_1_resource_apply_gradient_descent_1_1_attrs) |\n\n| ### Structs ||\n|-------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::ResourceApplyGradientDescent::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-apply-gradient-descent/attrs) | Optional attribute setters for [ResourceApplyGradientDescent](/versions/r1.15/api_docs/cc/class/tensorflow/ops/resource-apply-gradient-descent#classtensorflow_1_1ops_1_1_resource_apply_gradient_descent). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### ResourceApplyGradientDescent\n\n```gdscript\n ResourceApplyGradientDescent(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input alpha,\n ::tensorflow::Input delta\n)\n``` \n\n### ResourceApplyGradientDescent\n\n```gdscript\n ResourceApplyGradientDescent(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input alpha,\n ::tensorflow::Input delta,\n const ResourceApplyGradientDescent::Attrs & attrs\n)\n``` \n\n### operator::tensorflow::Operation\n\n```gdscript\n operator::tensorflow::Operation() const \n``` \n\nPublic static functions\n-----------------------\n\n### UseLocking\n\n```text\nAttrs UseLocking(\n bool x\n)\n```"]]