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tensoreflusso:: ops:: ResourceApplyProximalGradientDescent
#include <training_ops.h>
Aggiorna '*var' come algoritmo FOBOS con velocità di apprendimento fissa.
Riepilogo
prox_v = var - alpha * delta var = sign(prox_v)/(1+alpha*l2) * max{|prox_v|-alpha*l1,0}
Argomenti:
- scope: un oggetto Scope
- var: dovrebbe provenire da una variabile().
- alfa: fattore di scala. Deve essere uno scalare.
- l1: regolarizzazione L1. Deve essere uno scalare.
- l2: regolarizzazione L2. 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:
Costruttori e distruttori |
---|
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) |
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 2025-07-26 UTC.
[null,null,["Ultimo aggiornamento 2025-07-26 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/r2.1/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/r2.1/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/r2.1/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/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` var, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` alpha, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l1, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l2, ::`[tensorflow::Input](/versions/r2.1/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/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` var, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` alpha, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l1, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` l2, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` delta, const `[ResourceApplyProximalGradientDescent::Attrs](/versions/r2.1/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/r2.1/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/r2.1/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/r2.1/api_docs/cc/struct/tensorflow/ops/resource-apply-proximal-gradient-descent/attrs) | Optional attribute setters for [ResourceApplyProximalGradientDescent](/versions/r2.1/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```"]]