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flujo tensor:: operaciones:: DispersiónMul
#include <state_ops.h>
Multiplica las actualizaciones dispersas en una referencia variable.
Resumen
Esta operación calcula
# Scalar indices
ref[indices, ...] *= updates[...]
# Vector indices (for each i)
ref[indices[i], ...] *= updates[i, ...]
# High rank indices (for each i, ..., j)
ref[indices[i, ..., j], ...] *= updates[i, ..., j, ...]
Esta operación genera ref
una vez realizada la actualización. Esto facilita encadenar operaciones que necesitan utilizar el valor de reinicio.
Las entradas duplicadas se manejan correctamente: si varios indices
hacen referencia a la misma ubicación, sus contribuciones se multiplican.
Requiere updates.shape = indices.shape + ref.shape[1:]
o updates.shape = []
.
Argumentos:
- alcance: un objeto de alcance
- ref: debe ser de un nodo
Variable
. - índices: un tensor de índices en la primera dimensión de
ref
. - actualizaciones: un tensor de valores actualizados para multiplicar por
ref
.
Atributos opcionales (ver Attrs
):
- use_locking: si es Verdadero, la operación estará protegida por un bloqueo; de lo contrario, el comportamiento no está definido, pero puede presentar menos contención.
Devoluciones:
-
Output
: = Igual que ref
. Se devuelve para comodidad de las operaciones que desean utilizar los valores actualizados una vez realizada la actualización.
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
)
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::ScatterMul Class Reference\n\ntensorflow::ops::ScatterMul\n===========================\n\n`#include \u003cstate_ops.h\u003e`\n\nMultiplies sparse updates into a variable reference.\n\nSummary\n-------\n\nThis operation computes\n\n\n```scdoc\n # Scalar indices\n ref[indices, ...] *= updates[...]\n```\n\n\u003cbr /\u003e\n\n\n```transact-sql\n # Vector indices (for each i)\n ref[indices[i], ...] *= updates[i, ...]\n```\n\n\u003cbr /\u003e\n\n\n```scdoc\n # High rank indices (for each i, ..., j)\n ref[indices[i, ..., j], ...] *= updates[i, ..., j, ...]\n```\n\n\u003cbr /\u003e\n\nThis operation outputs `ref` after the update is done. This makes it easier to chain operations that need to use the reset value.\n\nDuplicate entries are handled correctly: if multiple `indices` reference the same location, their contributions multiply.\n\nRequires `updates.shape = indices.shape + ref.shape[1:]` or `updates.shape = []`.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- ref: Should be from a [Variable](/versions/r2.3/api_docs/cc/class/tensorflow/ops/variable#classtensorflow_1_1ops_1_1_variable) node.\n- indices: A tensor of indices into the first dimension of `ref`.\n- updates: A tensor of updated values to multiply to `ref`.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/scatter-mul/attrs#structtensorflow_1_1ops_1_1_scatter_mul_1_1_attrs)):\n\n- use_locking: If True, the operation will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): = Same as `ref`. Returned as a convenience for operations that want to use the updated values after the update is done.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [ScatterMul](#classtensorflow_1_1ops_1_1_scatter_mul_1a7db6b5ac554e784855d78d429e7574e3)`(const ::`[tensorflow::Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` ref, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` updates)` ||\n| [ScatterMul](#classtensorflow_1_1ops_1_1_scatter_mul_1a59f4787f45824ffa7053c4184caea38f)`(const ::`[tensorflow::Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` ref, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` updates, const `[ScatterMul::Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/scatter-mul/attrs#structtensorflow_1_1ops_1_1_scatter_mul_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_scatter_mul_1a3e2e0e89df1f658634f7268ac3785dd8) | [Operation](/versions/r2.3/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output_ref](#classtensorflow_1_1ops_1_1_scatter_mul_1a6c4d285e1c8631ca2fad4529c134bd60) | `::`[tensorflow::Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|-----------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_scatter_mul_1a643d99a44650276080fea233a3649261)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_scatter_mul_1a1c452250deb719e0fea5fb0714fa7231)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_scatter_mul_1ab7c16cd28461b1d78e7b1d1efd4811da)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|----------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------|\n| [UseLocking](#classtensorflow_1_1ops_1_1_scatter_mul_1aaacc375e6d81db93be7d7823990b3b9b)`(bool x)` | [Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/scatter-mul/attrs#structtensorflow_1_1ops_1_1_scatter_mul_1_1_attrs) |\n\n| ### Structs ||\n|----------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::ScatterMul::Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/scatter-mul/attrs) | Optional attribute setters for [ScatterMul](/versions/r2.3/api_docs/cc/class/tensorflow/ops/scatter-mul#classtensorflow_1_1ops_1_1_scatter_mul). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### output_ref\n\n```scdoc\n::tensorflow::Output output_ref\n``` \n\nPublic functions\n----------------\n\n### ScatterMul\n\n```gdscript\n ScatterMul(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input ref,\n ::tensorflow::Input indices,\n ::tensorflow::Input updates\n)\n``` \n\n### ScatterMul\n\n```gdscript\n ScatterMul(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input ref,\n ::tensorflow::Input indices,\n ::tensorflow::Input updates,\n const ScatterMul::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```"]]