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flujo tensor:: operaciones:: Marcador de posición
#include <array_ops.h>
Una operación de marcador de posición para un valor que se introducirá en el cálculo.
Resumen
NB: esta operación generará un error si se ejecuta. Su objetivo es representar un valor que siempre se enviará y proporcionar atributos que permitan comprobar el valor proporcionado en tiempo de ejecución.
Argumentos:
- alcance: un objeto de alcance
- dtype: el tipo de elementos en el tensor.
Atributos opcionales (ver Attrs
):
- forma: (Opcional) La forma del tensor. Si la forma tiene 0 dimensiones, la forma no tiene restricciones.
Devoluciones:
-
Output
: un tensor de marcador de posición que debe reemplazarse mediante el mecanismo de alimentación.
Funciones estáticas públicas |
---|
Shape (PartialTensorShape x) | |
Atributos públicos
Funciones públicas
Marcador de posición
Placeholder(
const ::tensorflow::Scope & scope,
DataType dtype
)
nodo
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operador::tensorflow::Salida
operator::tensorflow::Output() const
Funciones estáticas públicas
Forma
Attrs Shape(
PartialTensorShape x
)
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Última actualización: 2025-07-26 (UTC).
[null,null,["Última actualización: 2025-07-26 (UTC)."],[],[],null,["# tensorflow::ops::Placeholder Class Reference\n\ntensorflow::ops::Placeholder\n============================\n\n`#include \u003carray_ops.h\u003e`\n\nA placeholder op for a value that will be fed into the computation.\n\nSummary\n-------\n\nN.B. This operation will fail with an error if it is executed. It is intended as a way to represent a value that will always be fed, and to provide attrs that enable the fed value to be checked at runtime.\n\nArguments:\n\n- scope: A [Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- dtype: The type of elements in the tensor.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/placeholder/attrs#structtensorflow_1_1ops_1_1_placeholder_1_1_attrs)):\n\n- shape: (Optional) The shape of the tensor. If the shape has 0 dimensions, the shape is unconstrained.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): A placeholder tensor that must be replaced using the feed mechanism.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [Placeholder](#classtensorflow_1_1ops_1_1_placeholder_1adb3e3d0b072d160a2df953b84093f55d)`(const ::`[tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, DataType dtype)` ||\n| [Placeholder](#classtensorflow_1_1ops_1_1_placeholder_1abb57d03cb93c356b129016dc3ff00e87)`(const ::`[tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, DataType dtype, const `[Placeholder::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/placeholder/attrs#structtensorflow_1_1ops_1_1_placeholder_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-----------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_placeholder_1af4a6ff42f4dd94bf5dd37de61cea5ef0) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_placeholder_1a84e658dbf37cb549c1777496b6dbe5b7) | `::`[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_placeholder_1a783185c82a138844a15cfc31b94d16ae)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_placeholder_1a698c9b9de24acafaccc356d925b22295)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_placeholder_1a22ddd47d22954ae354221696caf75d0b)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|-------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------|\n| [Shape](#classtensorflow_1_1ops_1_1_placeholder_1a7b0844809be785ca077012ead552c73d)`(PartialTensorShape x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/placeholder/attrs#structtensorflow_1_1ops_1_1_placeholder_1_1_attrs) |\n\n| ### Structs ||\n|------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::Placeholder::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/placeholder/attrs) | Optional attribute setters for [Placeholder](/versions/r1.15/api_docs/cc/class/tensorflow/ops/placeholder#classtensorflow_1_1ops_1_1_placeholder). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### output\n\n```text\n::tensorflow::Output output\n``` \n\nPublic functions\n----------------\n\n### Placeholder\n\n```gdscript\n Placeholder(\n const ::tensorflow::Scope & scope,\n DataType dtype\n)\n``` \n\n### Placeholder\n\n```gdscript\n Placeholder(\n const ::tensorflow::Scope & scope,\n DataType dtype,\n const Placeholder::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### Shape\n\n```text\nAttrs Shape(\n PartialTensorShape x\n)\n```"]]