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flujo tensor:: operaciones:: ResourceSparseApplyMomentum
#include <training_ops.h>
Actualice las entradas relevantes en '*var' y '*accum' según el esquema de impulso.
Resumen
Establezca use_nesterov = True si desea utilizar el impulso de Nesterov.
Es decir, para las filas para las que tenemos grad, actualizamos var y accum de la siguiente manera:
acumulación = acumulación * impulso + grad var -= lr * acumulación
Argumentos:
- alcance: un objeto de alcance
- var: debe ser de una variable().
- accum: Debe ser de una Variable().
- lr: tasa de aprendizaje. Debe ser un escalar.
- grad: El gradiente.
- índices: Un vector de índices en la primera dimensión de var y accum.
- impulso: impulso. Debe ser un escalar.
Atributos opcionales (ver Attrs
):
- use_locking: si es
True
, la actualización de los tensores var y accum estará protegida por un bloqueo; de lo contrario, el comportamiento no está definido, pero puede presentar menos contención. - use_nesterov: Si es
True
, el tensor pasado para calcular grad será var - lr * momento * accum, por lo que al final, el var que obtienes es en realidad var - lr * momento * accum.
Devoluciones:
Constructores y destructores |
---|
ResourceSparseApplyMomentum (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input accum, :: tensorflow::Input lr, :: tensorflow::Input grad, :: tensorflow::Input indices, :: tensorflow::Input momentum)
|
ResourceSparseApplyMomentum (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input accum, :: tensorflow::Input lr, :: tensorflow::Input grad, :: tensorflow::Input indices, :: tensorflow::Input momentum, const ResourceSparseApplyMomentum::Attrs & attrs) |
Atributos públicos
Funciones públicas
operador::tensorflow::Operación
operator::tensorflow::Operation() const
Funciones estáticas públicas
UsoBloqueo
Attrs UseLocking(
bool x
)
UsoNesterov
Attrs UseNesterov(
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: 2025-07-26 (UTC).
[null,null,["Última actualización: 2025-07-26 (UTC)."],[],[],null,["# tensorflow::ops::ResourceSparseApplyMomentum Class Reference\n\ntensorflow::ops::ResourceSparseApplyMomentum\n============================================\n\n`#include \u003ctraining_ops.h\u003e`\n\nUpdate relevant entries in '\\*var' and '\\*accum' according to the momentum scheme.\n\nSummary\n-------\n\nSet use_nesterov = True if you want to use Nesterov momentum.\n\nThat is for rows we have grad for, we update var and accum as follows:\n\naccum = accum \\* momentum + grad var -= lr \\* 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: Learning rate. Must be a scalar.\n- grad: The gradient.\n- indices: A vector of indices into the first dimension of var and accum.\n- momentum: Momentum. Must be a scalar.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-momentum/attrs#structtensorflow_1_1ops_1_1_resource_sparse_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/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation)\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [ResourceSparseApplyMomentum](#classtensorflow_1_1ops_1_1_resource_sparse_apply_momentum_1a3b89e9c66e4d0dc308a10134ae6cbebf)`(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, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` momentum)` ||\n| [ResourceSparseApplyMomentum](#classtensorflow_1_1ops_1_1_resource_sparse_apply_momentum_1a7bfac1b224e032491ecc86795f329c8e)`(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, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` momentum, const `[ResourceSparseApplyMomentum::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-momentum/attrs#structtensorflow_1_1ops_1_1_resource_sparse_apply_momentum_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_resource_sparse_apply_momentum_1a11426b87c209f56e6dcf2292d88add6b) | [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_sparse_apply_momentum_1afbbbd2135b89a2e0cb965142a19a3aaa)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [UseLocking](#classtensorflow_1_1ops_1_1_resource_sparse_apply_momentum_1a4c78145c5e8b7aa22178f1a4d57812ac)`(bool x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-momentum/attrs#structtensorflow_1_1ops_1_1_resource_sparse_apply_momentum_1_1_attrs) |\n| [UseNesterov](#classtensorflow_1_1ops_1_1_resource_sparse_apply_momentum_1a433bc4ac6cba2fdad7e05889843770e4)`(bool x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-momentum/attrs#structtensorflow_1_1ops_1_1_resource_sparse_apply_momentum_1_1_attrs) |\n\n| ### Structs ||\n|-----------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::ResourceSparseApplyMomentum::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-momentum/attrs) | Optional attribute setters for [ResourceSparseApplyMomentum](/versions/r1.15/api_docs/cc/class/tensorflow/ops/resource-sparse-apply-momentum#classtensorflow_1_1ops_1_1_resource_sparse_apply_momentum). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### ResourceSparseApplyMomentum\n\n```gdscript\n ResourceSparseApplyMomentum(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input accum,\n ::tensorflow::Input lr,\n ::tensorflow::Input grad,\n ::tensorflow::Input indices,\n ::tensorflow::Input momentum\n)\n``` \n\n### ResourceSparseApplyMomentum\n\n```gdscript\n ResourceSparseApplyMomentum(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input accum,\n ::tensorflow::Input lr,\n ::tensorflow::Input grad,\n ::tensorflow::Input indices,\n ::tensorflow::Input momentum,\n const ResourceSparseApplyMomentum::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```"]]