Conozca lo último en aprendizaje automático, IA generativa y más en el
Simposio WiML 2023.
Organiza tus páginas con colecciones
Guarda y categoriza el contenido según tus preferencias.
#include <nn_ops.h>
Devuelve el índice de dimensión en el formato de datos de destino dado en.
Resumen
el formato de los datos de origen.
Argumentos:
- alcance: un objeto de alcance
- x: un tensor con cada elemento como índice de dimensión en formato de datos de origen. Debe estar en el rango [-4, 4).
Atributos opcionales (consulte Attrs
):
- src_format: formato de datos de origen.
- dst_format: formato de datos de destino.
Devoluciones:
-
Output
: un tensor con cada elemento como índice de dimensión en formato de datos de destino.
Atributos públicos
Funciones publicas
Funciones estáticas públicas
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::DataFormatDimMap Class Reference\n\ntensorflow::ops::DataFormatDimMap\n=================================\n\n`#include \u003cnn_ops.h\u003e`\n\nReturns the dimension index in the destination data format given the one in.\n\nSummary\n-------\n\nthe source data format.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- x: A [Tensor](/versions/r2.2/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) with each element as a dimension index in source data format. Must be in the range \\[-4, 4).\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/data-format-dim-map/attrs#structtensorflow_1_1ops_1_1_data_format_dim_map_1_1_attrs)):\n\n- src_format: source data format.\n- dst_format: destination data format.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): A [Tensor](/versions/r2.2/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) with each element as a dimension index in destination data format.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [DataFormatDimMap](#classtensorflow_1_1ops_1_1_data_format_dim_map_1a940ff2efc55cc98716eff22bd5169e62)`(const ::`[tensorflow::Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` x)` ||\n| [DataFormatDimMap](#classtensorflow_1_1ops_1_1_data_format_dim_map_1a777da26710837763c75921455aba5ddc)`(const ::`[tensorflow::Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` x, const `[DataFormatDimMap::Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/data-format-dim-map/attrs#structtensorflow_1_1ops_1_1_data_format_dim_map_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_data_format_dim_map_1a35705e5ab8f763439369ba015fe6e6dd) | [Operation](/versions/r2.2/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [y](#classtensorflow_1_1ops_1_1_data_format_dim_map_1a238392a1475522186dd4349a086e7616) | `::`[tensorflow::Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|-------------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_data_format_dim_map_1a7e7cb21492d0b95b81e81c35c464a2f7)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_data_format_dim_map_1a9f826ae3e4dcfde21a0f3d0be8f6dd7d)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_data_format_dim_map_1a4952830e7df82cbaf6d8cae075938f89)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------|\n| [DstFormat](#classtensorflow_1_1ops_1_1_data_format_dim_map_1a5df6304afeba4726500529df347ea2f5)`(StringPiece x)` | [Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/data-format-dim-map/attrs#structtensorflow_1_1ops_1_1_data_format_dim_map_1_1_attrs) |\n| [SrcFormat](#classtensorflow_1_1ops_1_1_data_format_dim_map_1a7a5893b6eea8561444a973fc16dd7bd6)`(StringPiece x)` | [Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/data-format-dim-map/attrs#structtensorflow_1_1ops_1_1_data_format_dim_map_1_1_attrs) |\n\n| ### Structs ||\n|------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::DataFormatDimMap::Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/data-format-dim-map/attrs) | Optional attribute setters for [DataFormatDimMap](/versions/r2.2/api_docs/cc/class/tensorflow/ops/data-format-dim-map#classtensorflow_1_1ops_1_1_data_format_dim_map). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### y\n\n```text\n::tensorflow::Output y\n``` \n\nPublic functions\n----------------\n\n### DataFormatDimMap\n\n```gdscript\n DataFormatDimMap(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input x\n)\n``` \n\n### DataFormatDimMap\n\n```gdscript\n DataFormatDimMap(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input x,\n const DataFormatDimMap::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### DstFormat\n\n```text\nAttrs DstFormat(\n StringPiece x\n)\n``` \n\n### SrcFormat\n\n```text\nAttrs SrcFormat(\n StringPiece x\n)\n```"]]