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flux tensoriel : : opérations : : RessourceAppliquerAdagrad
#include <training_ops.h> Mettez à jour '*var' selon le schéma adagrad.
Résumé
accumulation += grad * grad var -= lr * grad * (1 / sqrt(accum))
Arguments :
- scope : un objet Scope
- var : doit provenir d'une variable ().
- cumul : doit provenir d'une variable ().
- lr : facteur d’échelle. Ça doit être un scalaire.
- grad : Le dégradé.
Attributs facultatifs (voir Attrs ) :
- use_locking : Si
True , la mise à jour des tenseurs var et accum sera protégée par un verrou ; sinon, le comportement n'est pas défini, mais peut présenter moins de conflits.
Retours :
Attributs publics
Fonctions publiques
opérateur :: tensorflow :: Opération
operator::tensorflow::Operation() const
Fonctions statiques publiques
Emplacements de mise à jour
Attrs UpdateSlots(
bool x
)
UtiliserVerrouillage
Attrs UseLocking(
bool x
)
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,["# tensorflow::ops::ResourceApplyAdagrad Class Reference\n\ntensorflow::ops::ResourceApplyAdagrad\n=====================================\n\n`#include \u003ctraining_ops.h\u003e`\n\nUpdate '\\*var' according to the adagrad scheme.\n\nSummary\n-------\n\naccum += grad \\* grad var -= lr \\* grad \\* (1 / sqrt(accum))\n\nArguments:\n\n- scope: A [Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- var: Should be from a Variable().\n- accum: Should be from a Variable().\n- lr: Scaling factor. Must be a scalar.\n- grad: The gradient.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/resource-apply-adagrad/attrs#structtensorflow_1_1ops_1_1_resource_apply_adagrad_1_1_attrs)):\n\n- use_locking: If `True`, updating of the var and accum tensors 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/r2.2/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation)\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [ResourceApplyAdagrad](#classtensorflow_1_1ops_1_1_resource_apply_adagrad_1a945ae1849c5d6da01aef4e124d0659a1)`(const ::`[tensorflow::Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` var, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` accum, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` lr, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad)` ||\n| [ResourceApplyAdagrad](#classtensorflow_1_1ops_1_1_resource_apply_adagrad_1a63f3b55f0f6bb7a1e2d74e72b0cd58cf)`(const ::`[tensorflow::Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` var, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` accum, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` lr, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad, const `[ResourceApplyAdagrad::Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/resource-apply-adagrad/attrs#structtensorflow_1_1ops_1_1_resource_apply_adagrad_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_resource_apply_adagrad_1a50c4f76c31e97e32ee0ec9c8e3f312eb) | [Operation](/versions/r2.2/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_adagrad_1a265fd6706ecf381808bf48ee7e401434)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|----------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------|\n| [UpdateSlots](#classtensorflow_1_1ops_1_1_resource_apply_adagrad_1a46a2f3af7fa6462d62bafd7d000b7f2d)`(bool x)` | [Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/resource-apply-adagrad/attrs#structtensorflow_1_1ops_1_1_resource_apply_adagrad_1_1_attrs) |\n| [UseLocking](#classtensorflow_1_1ops_1_1_resource_apply_adagrad_1aadb2eb3840bbbc24989cf19471f3dd01)`(bool x)` | [Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/resource-apply-adagrad/attrs#structtensorflow_1_1ops_1_1_resource_apply_adagrad_1_1_attrs) |\n\n| ### Structs ||\n|-------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::ResourceApplyAdagrad::Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/resource-apply-adagrad/attrs) | Optional attribute setters for [ResourceApplyAdagrad](/versions/r2.2/api_docs/cc/class/tensorflow/ops/resource-apply-adagrad#classtensorflow_1_1ops_1_1_resource_apply_adagrad). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### ResourceApplyAdagrad\n\n```gdscript\n ResourceApplyAdagrad(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input accum,\n ::tensorflow::Input lr,\n ::tensorflow::Input grad\n)\n``` \n\n### ResourceApplyAdagrad\n\n```gdscript\n ResourceApplyAdagrad(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input accum,\n ::tensorflow::Input lr,\n ::tensorflow::Input grad,\n const ResourceApplyAdagrad::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### UpdateSlots\n\n```text\nAttrs UpdateSlots(\n bool x\n)\n``` \n\n### UseLocking\n\n```text\nAttrs UseLocking(\n bool x\n)\n```"]]
