Organízate con las colecciones
Guarda y clasifica el contenido según tus preferencias.
flujo tensor:: operaciones:: Variable Temporal
#include <state_ops.h> Devuelve un tensor que puede mutarse, pero que solo persiste en un solo paso.
Resumen
Esta es una operación experimental solo para uso interno y es posible utilizarla de forma insegura. NO LO USE a menos que comprenda completamente los riesgos.
Es responsabilidad de la persona que llama garantizar que 'ref' finalmente se pase a una operación ' DestroyTemporaryVariable ' coincidente después de que se hayan completado todos los demás usos.
Genera una referencia al estado del tensor para que pueda leerse o modificarse.
Por ejemplo, var = state_ops._temporary_variable([1, 2], tipos.float_) var_name = var.op.name var = state_ops.assign(var, [[4.0, 5.0]]) var = state_ops.assign_add(var, [[ 6.0, 7.0]]) final = state_ops._destroy_temporary_variable(var, var_name=var_name)
Argumentos:
- alcance: un objeto de alcance
- forma: La forma del tensor variable.
- dtype: el tipo de elementos en el tensor variable.
Atributos opcionales (ver Attrs ):
- var_name: anula el nombre utilizado para el recurso de variable temporal. El valor predeterminado es el nombre de la operación ' TemporalVariable ' (que se garantiza que es única).
Devoluciones:
-
Output : una referencia al tensor variable.
Funciones estáticas públicas |
|---|
VarName (StringPiece x) | |
Atributos públicos
Funciones públicas
Variable Temporal
TemporaryVariable(
const ::tensorflow::Scope & scope,
PartialTensorShape shape,
DataType dtype
)
nodo
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operador::tensorflow::Salida
operator::tensorflow::Output() const
Funciones estáticas públicas
NombreVar
Attrs VarName(
StringPiece 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: 2025-07-27 (UTC).
[null,null,["Última actualización: 2025-07-27 (UTC)."],[],[],null,["# tensorflow::ops::TemporaryVariable Class Reference\n\ntensorflow::ops::TemporaryVariable\n==================================\n\n`#include \u003cstate_ops.h\u003e`\n\nReturns a tensor that may be mutated, but only persists within a single step.\n\nSummary\n-------\n\nThis is an experimental op for internal use only and it is possible to use this op in unsafe ways. DO NOT USE unless you fully understand the risks.\n\nIt is the caller's responsibility to ensure that 'ref' is eventually passed to a matching '[DestroyTemporaryVariable](/versions/r2.3/api_docs/cc/class/tensorflow/ops/destroy-temporary-variable#classtensorflow_1_1ops_1_1_destroy_temporary_variable)' op after all other uses have completed.\n\nOutputs a ref to the tensor state so it may be read or modified.\n\nE.g. var = state_ops._temporary_variable(\\[1, 2\\], types.float_) var_name = var.op.name var = state_ops.assign(var, \\[\\[4.0, 5.0\\]\\]) var = state_ops.assign_add(var, \\[\\[6.0, 7.0\\]\\]) final = state_ops._destroy_temporary_variable(var, var_name=var_name)\n\nArguments:\n\n- scope: A [Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- shape: The shape of the variable tensor.\n- dtype: The type of elements in the variable tensor.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/temporary-variable/attrs#structtensorflow_1_1ops_1_1_temporary_variable_1_1_attrs)):\n\n- var_name: Overrides the name used for the temporary variable resource. Default value is the name of the '[TemporaryVariable](/versions/r2.3/api_docs/cc/class/tensorflow/ops/temporary-variable#classtensorflow_1_1ops_1_1_temporary_variable)' op (which is guaranteed unique).\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): A reference to the variable tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [TemporaryVariable](#classtensorflow_1_1ops_1_1_temporary_variable_1a694e6c48eaf39d57f59d52796a9a71d1)`(const ::`[tensorflow::Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, PartialTensorShape shape, DataType dtype)` ||\n| [TemporaryVariable](#classtensorflow_1_1ops_1_1_temporary_variable_1a43909369fdad702faf95e5aab8346b1a)`(const ::`[tensorflow::Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, PartialTensorShape shape, DataType dtype, const `[TemporaryVariable::Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/temporary-variable/attrs#structtensorflow_1_1ops_1_1_temporary_variable_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_temporary_variable_1abf90e66f914f45a8e9c11f7409917423) | [Operation](/versions/r2.3/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [ref](#classtensorflow_1_1ops_1_1_temporary_variable_1a62601e5fd1b28bd28a6f0db0c691fe61) | `::`[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_temporary_variable_1a3dbe9a732d4ec4ab4f94240c0ba61210)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_temporary_variable_1a8414b80274ac7ca395a565b59e90cd9e)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_temporary_variable_1a62b24d2f958c91a5a1005127d7056dc9)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|---------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------|\n| [VarName](#classtensorflow_1_1ops_1_1_temporary_variable_1a6647c19d0e761d2c6c11ff667576cfb5)`(StringPiece x)` | [Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/temporary-variable/attrs#structtensorflow_1_1ops_1_1_temporary_variable_1_1_attrs) |\n\n| ### Structs ||\n|------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::TemporaryVariable::Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/temporary-variable/attrs) | Optional attribute setters for [TemporaryVariable](/versions/r2.3/api_docs/cc/class/tensorflow/ops/temporary-variable#classtensorflow_1_1ops_1_1_temporary_variable). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### ref\n\n```text\n::tensorflow::Output ref\n``` \n\nPublic functions\n----------------\n\n### TemporaryVariable\n\n```gdscript\n TemporaryVariable(\n const ::tensorflow::Scope & scope,\n PartialTensorShape shape,\n DataType dtype\n)\n``` \n\n### TemporaryVariable\n\n```gdscript\n TemporaryVariable(\n const ::tensorflow::Scope & scope,\n PartialTensorShape shape,\n DataType dtype,\n const TemporaryVariable::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### VarName\n\n```text\nAttrs VarName(\n StringPiece x\n)\n```"]]
