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tensorflow :: operaciones :: ResourceApplyMomentum
#include <training_ops.h>
Actualice '* var' de acuerdo con el esquema de impulso.
Resumen
Establezca use_nesterov = True si
quieren aprovechar el impulso de Nesterov.
acumula = acumula * impulso + grad var - = lr * acumula
Argumentos:
- alcance: un objeto de alcance
- var: debe ser de una variable ().
- acum: debe ser de una variable ().
- lr: factor de escala. Debe ser un escalar.
- grad: El gradiente.
- impulso: impulso. Debe ser un escalar.
Atributos opcionales (consulte Attrs
):
- use_locking: si es
True
, la actualización de los tensores var y acumuladores estará protegida por un bloqueo; de lo contrario, el comportamiento no está definido, pero puede mostrar menos contención. - use_nesterov: Si es
True
, el tensor pasado para calcular grad será var - lr * momentum * acum, por lo que al final, la var que obtienes es en realidad var - lr * momentum * acum.
Devoluciones:
Constructores y Destructores |
---|
ResourceApplyMomentum (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input accum, :: tensorflow::Input lr, :: tensorflow::Input grad, :: tensorflow::Input momentum)
|
ResourceApplyMomentum (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input accum, :: tensorflow::Input lr, :: tensorflow::Input grad, :: tensorflow::Input momentum, const ResourceApplyMomentum::Attrs & attrs) |
Atributos públicos
Funciones publicas
operador :: tensorflow :: Operación
operator::tensorflow::Operation() const
Funciones estáticas públicas
UseLocking
Attrs UseLocking(
bool x
)
UseNesterov
Attrs UseNesterov(
bool x
)
Salvo que se indique lo contrario, el contenido de esta página está sujeto a la licencia Atribución 4.0 de Creative Commons, y los ejemplos de código están sujetos a la licencia Apache 2.0. Para obtener más información, consulta las políticas del sitio de Google Developers. Java es una marca registrada de Oracle o sus afiliados.
Última actualización: 2020-04-20 (UTC)
[null,null,["Última actualización: 2020-04-20 (UTC)"],[],[],null,["# tensorflow::ops::ResourceApplyMomentum Class Reference\n\ntensorflow::ops::ResourceApplyMomentum\n======================================\n\n`#include \u003ctraining_ops.h\u003e`\n\nUpdate '\\*var' according to the momentum scheme.\n\nSummary\n-------\n\nSet use_nesterov = True if you\n\nwant to use Nesterov momentum.\n\naccum = accum \\* momentum + grad var -= lr \\* accum\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- accum: Should be from a Variable().\n- lr: Scaling factor. Must be a scalar.\n- grad: The gradient.\n- momentum: Momentum. Must be a scalar.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/resource-apply-momentum/attrs#structtensorflow_1_1ops_1_1_resource_apply_momentum_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- use_nesterov: If `True`, the tensor passed to compute grad will be var - lr \\* momentum \\* accum, so in the end, the var you get is actually var - lr \\* momentum \\* accum.\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| [ResourceApplyMomentum](#classtensorflow_1_1ops_1_1_resource_apply_momentum_1aa2dffa322d4ed2a027c546db3c2cc9f0)`(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)` accum, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` lr, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` momentum)` ||\n| [ResourceApplyMomentum](#classtensorflow_1_1ops_1_1_resource_apply_momentum_1aaabab8ab9b7e779d819219175b3d01ab)`(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)` accum, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` lr, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` momentum, const `[ResourceApplyMomentum::Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/resource-apply-momentum/attrs#structtensorflow_1_1ops_1_1_resource_apply_momentum_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-----------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_resource_apply_momentum_1a9a0f9cac558c342e56f0a2d2dcdecd29) | [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_momentum_1aad4acd0b17f234ebb7f401abe0b1415b)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|-----------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [UseLocking](#classtensorflow_1_1ops_1_1_resource_apply_momentum_1a5d328ef958f0a6b9ddd3adc98da54e30)`(bool x)` | [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/resource-apply-momentum/attrs#structtensorflow_1_1ops_1_1_resource_apply_momentum_1_1_attrs) |\n| [UseNesterov](#classtensorflow_1_1ops_1_1_resource_apply_momentum_1ac1b137ccfdbf8b69e2ffe35db22e7787)`(bool x)` | [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/resource-apply-momentum/attrs#structtensorflow_1_1ops_1_1_resource_apply_momentum_1_1_attrs) |\n\n| ### Structs ||\n|---------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::ResourceApplyMomentum::Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/resource-apply-momentum/attrs) | Optional attribute setters for [ResourceApplyMomentum](/versions/r2.1/api_docs/cc/class/tensorflow/ops/resource-apply-momentum#classtensorflow_1_1ops_1_1_resource_apply_momentum). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### ResourceApplyMomentum\n\n```gdscript\n ResourceApplyMomentum(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input accum,\n ::tensorflow::Input lr,\n ::tensorflow::Input grad,\n ::tensorflow::Input momentum\n)\n``` \n\n### ResourceApplyMomentum\n\n```gdscript\n ResourceApplyMomentum(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input accum,\n ::tensorflow::Input lr,\n ::tensorflow::Input grad,\n ::tensorflow::Input momentum,\n const ResourceApplyMomentum::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``` \n\n### UseNesterov\n\n```text\nAttrs UseNesterov(\n bool x\n)\n```"]]