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flux tensoriel : : opérations : : ResourceApplyProximalGradientDescent
#include <training_ops.h>
Mettez à jour '*var' en tant qu'algorithme FOBOS avec un taux d'apprentissage fixe.
Résumé
prox_v = var - alpha * delta var = signe(prox_v)/(1+alpha*l2) * max{|prox_v|-alpha*l1,0}
Arguments :
- scope : un objet Scope
- var : doit provenir d'une variable ().
- alpha : facteur d'échelle. Ça doit être un scalaire.
- l1 : régularisation L1. Ça doit être un scalaire.
- l2 : régularisation L2. Ça doit être un scalaire.
- delta : Le changement.
Attributs facultatifs (voir Attrs
) :
- use_locking : Si True, la soustraction sera protégée par un verrou ; sinon, le comportement n'est pas défini, mais peut présenter moins de conflits.
Retours :
Constructeurs et Destructeurs |
---|
ResourceApplyProximalGradientDescent (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input alpha, :: tensorflow::Input l1, :: tensorflow::Input l2, :: tensorflow::Input delta)
|
ResourceApplyProximalGradientDescent (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input alpha, :: tensorflow::Input l1, :: tensorflow::Input l2, :: tensorflow::Input delta, const ResourceApplyProximalGradientDescent::Attrs & attrs) |
Attributs publics
Fonctions publiques
opérateur :: tensorflow :: Opération
operator::tensorflow::Operation() const
Fonctions statiques publiques
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 2025/07/27 (UTC).
[null,null,["Dernière mise à jour le 2025/07/27 (UTC)."],[],[],null,["# tensorflow::ops::ResourceApplyProximalGradientDescent Class Reference\n\ntensorflow::ops::ResourceApplyProximalGradientDescent\n=====================================================\n\n`#include \u003ctraining_ops.h\u003e`\n\nUpdate '\\*var' as FOBOS algorithm with fixed learning rate.\n\nSummary\n-------\n\nprox_v = var - alpha \\* delta var = sign(prox_v)/(1+alpha\\*l2) \\* max{\\|prox_v\\|-alpha\\*l1,0}\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- 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\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/resource-apply-proximal-gradient-descent/attrs#structtensorflow_1_1ops_1_1_resource_apply_proximal_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/r2.2/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation)\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [ResourceApplyProximalGradientDescent](#classtensorflow_1_1ops_1_1_resource_apply_proximal_gradient_descent_1abbddad3b19f5766ee3e968f1a6b9567f)`(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)` alpha, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l1, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l2, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` delta)` ||\n| [ResourceApplyProximalGradientDescent](#classtensorflow_1_1ops_1_1_resource_apply_proximal_gradient_descent_1a1b5470e569118e2bf85f8a80d6040ee7)`(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)` alpha, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l1, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l2, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` delta, const `[ResourceApplyProximalGradientDescent::Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/resource-apply-proximal-gradient-descent/attrs#structtensorflow_1_1ops_1_1_resource_apply_proximal_gradient_descent_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_resource_apply_proximal_gradient_descent_1af16b611d7b02d65580a0234c5b815121) | [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_proximal_gradient_descent_1aaa85fb3ffe460dccaefcf263dc6f95f3)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|---------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [UseLocking](#classtensorflow_1_1ops_1_1_resource_apply_proximal_gradient_descent_1a6f9bcba3123d814dc2aeed6987d46e8b)`(bool x)` | [Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/resource-apply-proximal-gradient-descent/attrs#structtensorflow_1_1ops_1_1_resource_apply_proximal_gradient_descent_1_1_attrs) |\n\n| ### Structs ||\n|-----------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::ResourceApplyProximalGradientDescent::Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/resource-apply-proximal-gradient-descent/attrs) | Optional attribute setters for [ResourceApplyProximalGradientDescent](/versions/r2.2/api_docs/cc/class/tensorflow/ops/resource-apply-proximal-gradient-descent#classtensorflow_1_1ops_1_1_resource_apply_proximal_gradient_descent). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### ResourceApplyProximalGradientDescent\n\n```gdscript\n ResourceApplyProximalGradientDescent(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input alpha,\n ::tensorflow::Input l1,\n ::tensorflow::Input l2,\n ::tensorflow::Input delta\n)\n``` \n\n### ResourceApplyProximalGradientDescent\n\n```gdscript\n ResourceApplyProximalGradientDescent(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input alpha,\n ::tensorflow::Input l1,\n ::tensorflow::Input l2,\n ::tensorflow::Input delta,\n const ResourceApplyProximalGradientDescent::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```"]]