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flujo tensor:: operaciones:: Aplicar impulso
#include <training_ops.h>
Actualice '*var' según el esquema de impulso.
Resumen
Establece use_nesterov = True si
Quiero aprovechar el impulso de Nesterov.
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: Factor de escala. Debe ser un escalar.
- grad: El gradiente.
- 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 |
---|
ApplyMomentum (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input accum, :: tensorflow::Input lr, :: tensorflow::Input grad, :: tensorflow::Input momentum)
|
ApplyMomentum (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input accum, :: tensorflow::Input lr, :: tensorflow::Input grad, :: tensorflow::Input momentum, const ApplyMomentum::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
)
UsoNesterov
Attrs UseNesterov(
bool x
)
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Última actualización: 2025-07-26 (UTC).
[null,null,["Última actualización: 2025-07-26 (UTC)."],[],[],null,["# tensorflow::ops::ApplyMomentum Class Reference\n\ntensorflow::ops::ApplyMomentum\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/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- momentum: Momentum. Must be a scalar.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/apply-momentum/attrs#structtensorflow_1_1ops_1_1_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- [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| [ApplyMomentum](#classtensorflow_1_1ops_1_1_apply_momentum_1a5049a3d6435e94f32d75072d46b2b6bf)`(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)` momentum)` ||\n| [ApplyMomentum](#classtensorflow_1_1ops_1_1_apply_momentum_1a8acb0c63affef19750579d082baf6761)`(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)` momentum, const `[ApplyMomentum::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/apply-momentum/attrs#structtensorflow_1_1ops_1_1_apply_momentum_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|--------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_apply_momentum_1afeb55f0af37f433f53dc62116f0c8bf8) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [out](#classtensorflow_1_1ops_1_1_apply_momentum_1adc714468dda0674aca4fa13fea935dcf) | `::`[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_momentum_1ab1bc1796db29a0f1d286b5270faa76c0)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_apply_momentum_1a9d4224bb92da65979b204769d7359662)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_apply_momentum_1a99975feb13b1eac6b8e4153e04b341bc)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|--------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------|\n| [UseLocking](#classtensorflow_1_1ops_1_1_apply_momentum_1a4a0957d092a63a28884f092dfe199e60)`(bool x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/apply-momentum/attrs#structtensorflow_1_1ops_1_1_apply_momentum_1_1_attrs) |\n| [UseNesterov](#classtensorflow_1_1ops_1_1_apply_momentum_1aafa34ce6f18e9d85f9aa7e5484b54496)`(bool x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/apply-momentum/attrs#structtensorflow_1_1ops_1_1_apply_momentum_1_1_attrs) |\n\n| ### Structs ||\n|-----------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::ApplyMomentum::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/apply-momentum/attrs) | Optional attribute setters for [ApplyMomentum](/versions/r1.15/api_docs/cc/class/tensorflow/ops/apply-momentum#classtensorflow_1_1ops_1_1_apply_momentum). |\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### ApplyMomentum\n\n```gdscript\n ApplyMomentum(\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### ApplyMomentum\n\n```gdscript\n ApplyMomentum(\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 ApplyMomentum::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``` \n\n### UseNesterov\n\n```text\nAttrs UseNesterov(\n bool x\n)\n```"]]