Mantieni tutto organizzato con le raccolte
Salva e classifica i contenuti in base alle tue preferenze.
tensoreflusso:: ops:: ApplicaPowerSign
#include <training_ops.h>
Aggiorna "*var" in base all'aggiornamento AddSign.
Riepilogo
m_t <- beta1 * m_{t-1} + (1 - beta1) * g aggiornamento <- exp(logbase * sign_decay * sign(g) * sign(m_t)) * g variabile <- variabile - lr_t * aggiornamento
Argomenti:
- scope: un oggetto Scope
- var: dovrebbe provenire da una variabile().
- m: dovrebbe provenire da una variabile().
- lr: fattore di scala. Deve essere uno scalare.
- logbase: deve essere uno scalare.
- sign_decay: deve essere uno scalare.
- beta: deve essere uno scalare.
- grad: il gradiente.
Attributi facoltativi (vedi Attrs
):
- use_locking: Se
True
, l'aggiornamento dei tensori var e m è protetto da un lock; altrimenti il comportamento non è definito, ma può mostrare meno contesa.
Resi:
Costruttori e distruttori |
---|
ApplyPowerSign (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input m, :: tensorflow::Input lr, :: tensorflow::Input logbase, :: tensorflow::Input sign_decay, :: tensorflow::Input beta, :: tensorflow::Input grad)
|
ApplyPowerSign (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input m, :: tensorflow::Input lr, :: tensorflow::Input logbase, :: tensorflow::Input sign_decay, :: tensorflow::Input beta, :: tensorflow::Input grad, const ApplyPowerSign::Attrs & attrs) |
Attributi pubblici
Funzioni pubbliche
nodo
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operatore::tensorflow::Output
operator::tensorflow::Output() 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 2025-07-27 UTC.
[null,null,["Ultimo aggiornamento 2025-07-27 UTC."],[],[],null,["# tensorflow::ops::ApplyPowerSign Class Reference\n\ntensorflow::ops::ApplyPowerSign\n===============================\n\n`#include \u003ctraining_ops.h\u003e`\n\nUpdate '\\*var' according to the AddSign update.\n\nSummary\n-------\n\nm_t \\\u003c- beta1 \\* m_{t-1} + (1 - beta1) \\* g update \\\u003c- exp(logbase \\* sign_decay \\* sign(g) \\* sign(m_t)) \\* g variable \\\u003c- variable - lr_t \\* update\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- m: Should be from a Variable().\n- lr: Scaling factor. Must be a scalar.\n- logbase: Must be a scalar.\n- sign_decay: Must be a scalar.\n- beta: Must be a scalar.\n- grad: The gradient.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/apply-power-sign/attrs#structtensorflow_1_1ops_1_1_apply_power_sign_1_1_attrs)):\n\n- use_locking: If `True`, updating of the var and m tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): Same as \"var\".\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [ApplyPowerSign](#classtensorflow_1_1ops_1_1_apply_power_sign_1a4083d7676778fbebe38c5aa3906ba573)`(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)` m, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` lr, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` logbase, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` sign_decay, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` beta, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad)` ||\n| [ApplyPowerSign](#classtensorflow_1_1ops_1_1_apply_power_sign_1ac5cfe9375414e3da6ffa6c6b7dbb6c98)`(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)` m, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` lr, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` logbase, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` sign_decay, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` beta, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad, const `[ApplyPowerSign::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/apply-power-sign/attrs#structtensorflow_1_1ops_1_1_apply_power_sign_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_apply_power_sign_1a5125592ade433f2862686ad54eb00a35) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [out](#classtensorflow_1_1ops_1_1_apply_power_sign_1aa6f4cf4bacd1b8ac2217f5656510684a) | `::`[tensorflow::Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|----------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_apply_power_sign_1a9f0df057bae65b3e62d1af2fe740ca6e)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_apply_power_sign_1ab8353f9957efd29b24c59cd7dbe1fdc0)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_apply_power_sign_1a037ed37ac4be6ba570f480c133a10bcb)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|---------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------|\n| [UseLocking](#classtensorflow_1_1ops_1_1_apply_power_sign_1a38f6aeb17f19ce776fc5c256f0d94082)`(bool x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/apply-power-sign/attrs#structtensorflow_1_1ops_1_1_apply_power_sign_1_1_attrs) |\n\n| ### Structs ||\n|--------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::ApplyPowerSign::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/apply-power-sign/attrs) | Optional attribute setters for [ApplyPowerSign](/versions/r1.15/api_docs/cc/class/tensorflow/ops/apply-power-sign#classtensorflow_1_1ops_1_1_apply_power_sign). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### out\n\n```text\n::tensorflow::Output out\n``` \n\nPublic functions\n----------------\n\n### ApplyPowerSign\n\n```gdscript\n ApplyPowerSign(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input m,\n ::tensorflow::Input lr,\n ::tensorflow::Input logbase,\n ::tensorflow::Input sign_decay,\n ::tensorflow::Input beta,\n ::tensorflow::Input grad\n)\n``` \n\n### ApplyPowerSign\n\n```gdscript\n ApplyPowerSign(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input m,\n ::tensorflow::Input lr,\n ::tensorflow::Input logbase,\n ::tensorflow::Input sign_decay,\n ::tensorflow::Input beta,\n ::tensorflow::Input grad,\n const ApplyPowerSign::Attrs & attrs\n)\n``` \n\n### node\n\n```gdscript\n::tensorflow::Node * node() const \n``` \n\n### operator::tensorflow::Input\n\n```gdscript\n operator::tensorflow::Input() const \n``` \n\n### operator::tensorflow::Output\n\n```gdscript\n operator::tensorflow::Output() const \n``` \n\nPublic static functions\n-----------------------\n\n### UseLocking\n\n```text\nAttrs UseLocking(\n bool x\n)\n```"]]