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tensorflow :: operaciones :: AplicarAñadirSign
#include <training_ops.h>
Actualice '* var' de acuerdo con la actualización de AddSign.
Resumen
m_t <- beta1 * m_ {t-1} + (1 - beta1) * g actualización <- (alpha + sign_decay * sign (g) * sign (m)) * g variable <- variable - lr_t * update
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.
- alpha: Debe ser un escalar.
- sign_decay: debe ser un escalar.
- beta: debe ser un escalar.
- grad: El gradiente.
Atributos opcionales (consulte 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 mostrar menos contención.
Devoluciones:
Constructores y Destructores |
---|
ApplyAddSign (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input m, :: tensorflow::Input lr, :: tensorflow::Input alpha, :: tensorflow::Input sign_decay, :: tensorflow::Input beta, :: tensorflow::Input grad)
|
ApplyAddSign (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input m, :: tensorflow::Input lr, :: tensorflow::Input alpha, :: tensorflow::Input sign_decay, :: tensorflow::Input beta, :: tensorflow::Input grad, const ApplyAddSign::Attrs & attrs) |
Atributos públicos
Funciones publicas
nodo
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operador :: tensorflow :: Salida
operator::tensorflow::Output() const
Funciones estáticas públicas
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::ApplyAddSign Class Reference\n\ntensorflow::ops::ApplyAddSign\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- (alpha + sign_decay \\* sign(g) \\*sign(m)) \\* g variable \\\u003c- variable - lr_t \\* update\n\nArguments:\n\n- scope: A [Scope](/versions/r2.0/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- alpha: 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/r2.0/api_docs/cc/struct/tensorflow/ops/apply-add-sign/attrs#structtensorflow_1_1ops_1_1_apply_add_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/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): Same as \"var\".\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [ApplyAddSign](#classtensorflow_1_1ops_1_1_apply_add_sign_1af9f940a5ce219f006dd5784273581462)`(const ::`[tensorflow::Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` var, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` m, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` lr, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` alpha, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` sign_decay, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` beta, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad)` ||\n| [ApplyAddSign](#classtensorflow_1_1ops_1_1_apply_add_sign_1a8ced306386cbe8552a1acb0c7c9f7640)`(const ::`[tensorflow::Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` var, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` m, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` lr, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` alpha, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` sign_decay, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` beta, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad, const `[ApplyAddSign::Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/apply-add-sign/attrs#structtensorflow_1_1ops_1_1_apply_add_sign_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|--------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_apply_add_sign_1a2f3006bfafb719f77fb48b78d7ea9db3) | [Operation](/versions/r2.0/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [out](#classtensorflow_1_1ops_1_1_apply_add_sign_1a7880929b8fb7c7581f00030a85654100) | `::`[tensorflow::Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|--------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_apply_add_sign_1a71f7d03f4328c2e8d1901785967d44b3)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_apply_add_sign_1a92da05431d90f30e0785c8a850de7b3e)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_apply_add_sign_1ac1522c1a1317ddde43e2198c6d6c0337)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|-------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------|\n| [UseLocking](#classtensorflow_1_1ops_1_1_apply_add_sign_1aca5db7b5467a9f8cfed7c32dd6bd9c53)`(bool x)` | [Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/apply-add-sign/attrs#structtensorflow_1_1ops_1_1_apply_add_sign_1_1_attrs) |\n\n| ### Structs ||\n|---------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::ApplyAddSign::Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/apply-add-sign/attrs) | Optional attribute setters for [ApplyAddSign](/versions/r2.0/api_docs/cc/class/tensorflow/ops/apply-add-sign#classtensorflow_1_1ops_1_1_apply_add_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### ApplyAddSign\n\n```gdscript\n ApplyAddSign(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input m,\n ::tensorflow::Input lr,\n ::tensorflow::Input alpha,\n ::tensorflow::Input sign_decay,\n ::tensorflow::Input beta,\n ::tensorflow::Input grad\n)\n``` \n\n### ApplyAddSign\n\n```gdscript\n ApplyAddSign(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input m,\n ::tensorflow::Input lr,\n ::tensorflow::Input alpha,\n ::tensorflow::Input sign_decay,\n ::tensorflow::Input beta,\n ::tensorflow::Input grad,\n const ApplyAddSign::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```"]]