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flujo tensor:: operaciones:: ReducirUnirse
#include <string_ops.h>
Une un tensor de cadena a través de las dimensiones dadas.
Resumen
Calcula la unión de cadenas entre dimensiones en la cadena dada Tensor de forma [\\(d_0, d_1, ..., d_{n-1}\\)]
. Devuelve un nuevo tensor creado al unir las cadenas de entrada con el separador dado (predeterminado: cadena vacía). Los índices negativos se cuentan hacia atrás desde el final, siendo -1
equivalente a n - 1
. Si no se especifican índices, se une en todas las dimensiones comenzando desde n - 1
hasta 0
.
Por ejemplo:
# tensor `a` is [["a", "b"], ["c", "d"]]
tf.reduce_join(a, 0) ==> ["ac", "bd"]
tf.reduce_join(a, 1) ==> ["ab", "cd"]
tf.reduce_join(a, -2) = tf.reduce_join(a, 0) ==> ["ac", "bd"]
tf.reduce_join(a, -1) = tf.reduce_join(a, 1) ==> ["ab", "cd"]
tf.reduce_join(a, 0, keep_dims=True) ==> [["ac", "bd"]]
tf.reduce_join(a, 1, keep_dims=True) ==> [["ab"], ["cd"]]
tf.reduce_join(a, 0, separator=".") ==> ["a.c", "b.d"]
tf.reduce_join(a, [0, 1]) ==> "acbd"
tf.reduce_join(a, [1, 0]) ==> "abcd"
tf.reduce_join(a, []) ==> [["a", "b"], ["c", "d"]]
tf.reduce_join(a) = tf.reduce_join(a, [1, 0]) ==> "abcd"
Argumentos:
- alcance: un objeto de alcance
- entradas: La entrada que se unirá. Todos los índices reducidos deben tener un tamaño distinto de cero.
- reducción_indices: Las dimensiones a reducir. Las dimensiones se reducen en el orden especificado. Omitir
reduction_indices
equivale a pasar [n-1, n-2, ..., 0]
. Se admiten índices negativos de -n
a -1
.
Atributos opcionales (ver Attrs
):
- keep_dims: si es
True
, conserva las dimensiones reducidas con longitud 1
. - separator: El separador que se utilizará al unir.
Devoluciones:
-
Output
: Tiene una forma igual a la de la entrada con dimensiones reducidas eliminadas o establecidas en 1
dependiendo de keep_dims
.
Atributos públicos
Funciones públicas
nodo
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operador::tensorflow::Salida
operator::tensorflow::Output() const
Funciones estáticas públicas
MantenerDims
Attrs KeepDims(
bool x
)
Separador
Attrs Separator(
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: 2025-07-26 (UTC).
[null,null,["Última actualización: 2025-07-26 (UTC)."],[],[],null,["# tensorflow::ops::ReduceJoin Class Reference\n\ntensorflow::ops::ReduceJoin\n===========================\n\n`#include \u003cstring_ops.h\u003e`\n\nJoins a string [Tensor](/versions/r2.2/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) across the given dimensions.\n\nSummary\n-------\n\nComputes the string join across dimensions in the given string [Tensor](/versions/r2.2/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) of shape `[\\\\(d_0, d_1, ..., d_{n-1}\\\\)]`. Returns a new [Tensor](/versions/r2.2/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) created by joining the input strings with the given separator (default: empty string). Negative indices are counted backwards from the end, with `-1` being equivalent to `n - 1`. If indices are not specified, joins across all dimensions beginning from `n - 1` through `0`.\n\nFor example:\n\n\n```mysql\n# tensor `a` is [[\"a\", \"b\"], [\"c\", \"d\"]]\ntf.reduce_join(a, 0) ==\u003e [\"ac\", \"bd\"]\ntf.reduce_join(a, 1) ==\u003e [\"ab\", \"cd\"]\ntf.reduce_join(a, -2) = tf.reduce_join(a, 0) ==\u003e [\"ac\", \"bd\"]\ntf.reduce_join(a, -1) = tf.reduce_join(a, 1) ==\u003e [\"ab\", \"cd\"]\ntf.reduce_join(a, 0, keep_dims=True) ==\u003e [[\"ac\", \"bd\"]]\ntf.reduce_join(a, 1, keep_dims=True) ==\u003e [[\"ab\"], [\"cd\"]]\ntf.reduce_join(a, 0, separator=\".\") ==\u003e [\"a.c\", \"b.d\"]\ntf.reduce_join(a, [0, 1]) ==\u003e \"acbd\"\ntf.reduce_join(a, [1, 0]) ==\u003e \"abcd\"\ntf.reduce_join(a, []) ==\u003e [[\"a\", \"b\"], [\"c\", \"d\"]]\ntf.reduce_join(a) = tf.reduce_join(a, [1, 0]) ==\u003e \"abcd\"\n```\n\n\u003cbr /\u003e\n\nArguments:\n\n- scope: A [Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- inputs: The input to be joined. [All](/versions/r2.2/api_docs/cc/class/tensorflow/ops/all#classtensorflow_1_1ops_1_1_all) reduced indices must have non-zero size.\n- reduction_indices: The dimensions to reduce over. Dimensions are reduced in the order specified. Omitting `reduction_indices` is equivalent to passing `[n-1, n-2, ..., 0]`. Negative indices from `-n` to `-1` are supported.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/reduce-join/attrs#structtensorflow_1_1ops_1_1_reduce_join_1_1_attrs)):\n\n- keep_dims: If `True`, retain reduced dimensions with length `1`.\n- separator: The separator to use when joining.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): Has shape equal to that of the input with reduced dimensions removed or set to `1` depending on `keep_dims`.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [ReduceJoin](#classtensorflow_1_1ops_1_1_reduce_join_1a5a26b37735fa42ff7193a838ad779913)`(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)` inputs, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` reduction_indices)` ||\n| [ReduceJoin](#classtensorflow_1_1ops_1_1_reduce_join_1a16f60dfc9dd223f31647f7d6b2b8b2aa)`(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)` inputs, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` reduction_indices, const `[ReduceJoin::Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/reduce-join/attrs#structtensorflow_1_1ops_1_1_reduce_join_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-----------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_reduce_join_1ae3c932b8ed453d9ad3c543af34f90263) | [Operation](/versions/r2.2/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_reduce_join_1aae2b38746b0a6787c6bda531650a94df) | `::`[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_reduce_join_1a82dc1971263a0bc85f85e9f9cba8ab5f)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_reduce_join_1a205e8612d71b9bf0327d0983fceacbd7)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_reduce_join_1ad25cf42911f8ba258fbaf2e6ccddb063)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|----------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------|\n| [KeepDims](#classtensorflow_1_1ops_1_1_reduce_join_1a308bbdd23abc9c952087a7842b3c3c62)`(bool x)` | [Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/reduce-join/attrs#structtensorflow_1_1ops_1_1_reduce_join_1_1_attrs) |\n| [Separator](#classtensorflow_1_1ops_1_1_reduce_join_1aa888289eecaa69b2883039ade1ad7598)`(StringPiece x)` | [Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/reduce-join/attrs#structtensorflow_1_1ops_1_1_reduce_join_1_1_attrs) |\n\n| ### Structs ||\n|----------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::ReduceJoin::Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/reduce-join/attrs) | Optional attribute setters for [ReduceJoin](/versions/r2.2/api_docs/cc/class/tensorflow/ops/reduce-join#classtensorflow_1_1ops_1_1_reduce_join). |\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### ReduceJoin\n\n```gdscript\n ReduceJoin(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input inputs,\n ::tensorflow::Input reduction_indices\n)\n``` \n\n### ReduceJoin\n\n```gdscript\n ReduceJoin(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input inputs,\n ::tensorflow::Input reduction_indices,\n const ReduceJoin::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### KeepDims\n\n```text\nAttrs KeepDims(\n bool x\n)\n``` \n\n### Separator\n\n```text\nAttrs Separator(\n StringPiece x\n)\n```"]]