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flux tensoriel : : opérations : : RéduireRejoindre
#include <string_ops.h>
Joint un Tensor de chaîne sur les dimensions données.
Résumé
Calcule la jointure de chaîne à travers les dimensions dans la chaîne donnée Tenseur de forme [\\(d_0, d_1, ..., d_{n-1}\\)]
. Renvoie un nouveau Tensor créé en joignant les chaînes d'entrée avec le séparateur donné (par défaut : chaîne vide). Les indices négatifs sont comptés à rebours à partir de la fin, -1
étant équivalent à n - 1
. Si les indices ne sont pas spécifiés, joint toutes les dimensions allant de n - 1
à 0
.
Par exemple:
# 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"
Arguments :
- scope : un objet Scope
- inputs : l'entrée à joindre. Tous les indices réduits doivent avoir une taille non nulle.
- réduction_indices : les dimensions à réduire. Les dimensions sont réduites dans l'ordre spécifié. Omettre
reduction_indices
équivaut à passer [n-1, n-2, ..., 0]
. Les indices négatifs de -n
à -1
sont pris en charge.
Attributs facultatifs (voir Attrs
) :
- keep_dims : si
True
, conserve les dimensions réduites de longueur 1
. - separator : le séparateur à utiliser lors de la jointure.
Retours :
-
Output
: a une forme égale à celle de l'entrée avec des dimensions réduites supprimées ou définies sur 1
en fonction de keep_dims
.
Attributs publics
Fonctions publiques
nœud
::tensorflow::Node * node() const
operator::tensorflow::Input() const
opérateur :: tensorflow :: Sortie
operator::tensorflow::Output() const
Fonctions statiques publiques
Conserver les dimensions
Attrs KeepDims(
bool x
)
Séparateur
Attrs Separator(
StringPiece x
)
Sauf indication contraire, le contenu de cette page est régi par une licence Creative Commons Attribution 4.0, et les échantillons de code sont régis par une licence Apache 2.0. Pour en savoir plus, consultez les Règles du site Google Developers. Java est une marque déposée d'Oracle et/ou de ses sociétés affiliées.
Dernière mise à jour le 2025/07/26 (UTC).
[null,null,["Dernière mise à jour le 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```"]]