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tensorflow :: operaciones :: RecursoAplicarAdagrad
#include <training_ops.h>
Actualice '* var' de acuerdo con el esquema adagrad.
Resumen
acum + = grad * grad var - = lr * grad * (1 / sqrt (acum))
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.
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.
Devoluciones:
Atributos públicos
Funciones publicas
operador :: tensorflow :: Operación
operator::tensorflow::Operation() const
Funciones estáticas públicas
UpdateSlots
Attrs UpdateSlots(
bool x
)
UseLocking
Attrs UseLocking(
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::ResourceApplyAdagrad Class Reference\n\ntensorflow::ops::ResourceApplyAdagrad\n=====================================\n\n`#include \u003ctraining_ops.h\u003e`\n\nUpdate '\\*var' according to the adagrad scheme.\n\nSummary\n-------\n\naccum += grad \\* grad var -= lr \\* grad \\* (1 / sqrt(accum))\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- accum: Should be from a Variable().\n- lr: Scaling factor. 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/resource-apply-adagrad/attrs#structtensorflow_1_1ops_1_1_resource_apply_adagrad_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\n\u003cbr /\u003e\n\nReturns:\n\n- the created [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation)\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [ResourceApplyAdagrad](#classtensorflow_1_1ops_1_1_resource_apply_adagrad_1a945ae1849c5d6da01aef4e124d0659a1)`(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)` accum, ::`[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)` grad)` ||\n| [ResourceApplyAdagrad](#classtensorflow_1_1ops_1_1_resource_apply_adagrad_1a63f3b55f0f6bb7a1e2d74e72b0cd58cf)`(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)` accum, ::`[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)` grad, const `[ResourceApplyAdagrad::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-apply-adagrad/attrs#structtensorflow_1_1ops_1_1_resource_apply_adagrad_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_resource_apply_adagrad_1a50c4f76c31e97e32ee0ec9c8e3f312eb) | [Operation](/versions/r1.15/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_adagrad_1a265fd6706ecf381808bf48ee7e401434)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|----------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [UpdateSlots](#classtensorflow_1_1ops_1_1_resource_apply_adagrad_1a46a2f3af7fa6462d62bafd7d000b7f2d)`(bool x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-apply-adagrad/attrs#structtensorflow_1_1ops_1_1_resource_apply_adagrad_1_1_attrs) |\n| [UseLocking](#classtensorflow_1_1ops_1_1_resource_apply_adagrad_1aadb2eb3840bbbc24989cf19471f3dd01)`(bool x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-apply-adagrad/attrs#structtensorflow_1_1ops_1_1_resource_apply_adagrad_1_1_attrs) |\n\n| ### Structs ||\n|--------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::ResourceApplyAdagrad::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-apply-adagrad/attrs) | Optional attribute setters for [ResourceApplyAdagrad](/versions/r1.15/api_docs/cc/class/tensorflow/ops/resource-apply-adagrad#classtensorflow_1_1ops_1_1_resource_apply_adagrad). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### ResourceApplyAdagrad\n\n```gdscript\n ResourceApplyAdagrad(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input accum,\n ::tensorflow::Input lr,\n ::tensorflow::Input grad\n)\n``` \n\n### ResourceApplyAdagrad\n\n```gdscript\n ResourceApplyAdagrad(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input accum,\n ::tensorflow::Input lr,\n ::tensorflow::Input grad,\n const ResourceApplyAdagrad::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### UpdateSlots\n\n```text\nAttrs UpdateSlots(\n bool x\n)\n``` \n\n### UseLocking\n\n```text\nAttrs UseLocking(\n bool x\n)\n```"]]