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flujo tensor:: operaciones:: AplicarPowerSign
#include <training_ops.h>
Actualice '*var' según la actualización de AddSign.
Resumen
m_t <- beta1 * m_{t-1} + (1 - beta1) * g actualización <- exp(logbase * sign_decay * sign(g) * sign(m_t)) * g variable <- variable - lr_t * actualización
Argumentos:
- alcance: un objeto de alcance
- var: Debe ser de una Variable().
- m: Debe ser de una Variable().
- lr: Factor de escala. Debe ser un escalar.
- logbase: debe ser un escalar.
- sign_decay: debe ser un escalar.
- beta: debe ser un escalar.
- grad: El gradiente.
Atributos opcionales (ver Attrs
):
- use_locking: si es
True
, la actualización de los tensores var y m está protegida por un bloqueo; de lo contrario, el comportamiento no está definido, pero puede presentar menos contención.
Devoluciones:
Constructores y destructores |
---|
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) |
Atributos públicos
Funciones públicas
nodo
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operador::tensorflow::Salida
operator::tensorflow::Output() const
Funciones estáticas públicas
UsoBloqueo
Attrs UseLocking(
bool x
)
A menos que se indique lo contrario, el contenido de esta página está sujeto a la licencia Reconocimiento 4.0 de Creative Commons y las muestras de código están sujetas a la licencia Apache 2.0. Para obtener más información, consulta las políticas del sitio web de Google Developers. Java es una marca registrada de Oracle o sus afiliados.
Última actualización: 2025-07-27 (UTC).
[null,null,["Última actualización: 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```"]]