Restez organisé à l'aide des collections
Enregistrez et classez les contenus selon vos préférences.
flux tensoriel : : opérations : : SerializeManySparse
#include <sparse_ops.h>
Sérialisez un SparseTensor
N
-minibatch en un objet Tensor
[N, 3]
.
Résumé
Le SparseTensor
doit avoir un rang R
supérieur à 1 et la première dimension est traitée comme la dimension du minibatch. Les éléments du SparseTensor
doivent être triés par ordre croissant de cette première dimension. Les objets SparseTensor
sérialisés entrant dans chaque ligne de serialized_sparse
auront le rang R-1
.
La taille du minibatch N
est extraite de sparse_shape[0]
.
Arguments :
- scope : un objet Scope
- sparse_indices : 2-D. Les
indices
du minibatch SparseTensor
. - sparse_values : 1-D. Les
values
du minibatch SparseTensor
. - sparse_shape : 1-D. La
shape
du minibatch SparseTensor
.
Attributs facultatifs (voir Attrs
) :
- out_type : Le
dtype
à utiliser pour la sérialisation ; les types pris en charge sont string
(par défaut) et variant
.
Retours :
-
Output
: Le tenseur serialized_sparse.
Fonctions statiques publiques |
---|
OutType (DataType x) | |
Attributs publics
Fonctions publiques
nœud
::tensorflow::Node * node() const
operator::tensorflow::Input() const
opérateur :: tensorflow :: Sortie
operator::tensorflow::Output() const
Fonctions statiques publiques
Type de sortie
Attrs OutType(
DataType 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::SerializeManySparse Class Reference\n\ntensorflow::ops::SerializeManySparse\n====================================\n\n`#include \u003csparse_ops.h\u003e`\n\nSerialize an `N`-minibatch `SparseTensor` into an `[N, 3]`[Tensor](/versions/r2.1/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) object.\n\nSummary\n-------\n\nThe `SparseTensor` must have rank `R` greater than 1, and the first dimension is treated as the minibatch dimension. Elements of the `SparseTensor` must be sorted in increasing order of this first dimension. The serialized `SparseTensor` objects going into each row of `serialized_sparse` will have rank `R-1`.\n\nThe minibatch size `N` is extracted from `sparse_shape[0]`.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- sparse_indices: 2-D. The `indices` of the minibatch `SparseTensor`.\n- sparse_values: 1-D. The `values` of the minibatch `SparseTensor`.\n- sparse_shape: 1-D. The `shape` of the minibatch `SparseTensor`.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/serialize-many-sparse/attrs#structtensorflow_1_1ops_1_1_serialize_many_sparse_1_1_attrs)):\n\n- out_type: The `dtype` to use for serialization; the supported types are `string` (default) and `variant`.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The serialized_sparse tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [SerializeManySparse](#classtensorflow_1_1ops_1_1_serialize_many_sparse_1a8b0ce35d9eb1b1fc37fbe016a56e1d62)`(const ::`[tensorflow::Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` sparse_indices, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` sparse_values, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` sparse_shape)` ||\n| [SerializeManySparse](#classtensorflow_1_1ops_1_1_serialize_many_sparse_1a9433bfca55151b54355f6be6952584e5)`(const ::`[tensorflow::Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` sparse_indices, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` sparse_values, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` sparse_shape, const `[SerializeManySparse::Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/serialize-many-sparse/attrs#structtensorflow_1_1ops_1_1_serialize_many_sparse_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-----------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_serialize_many_sparse_1ad0bf6a7b871bfa34f2e3be438f685117) | [Operation](/versions/r2.1/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [serialized_sparse](#classtensorflow_1_1ops_1_1_serialize_many_sparse_1ad8accf23c3264d678f050a59da40ea64) | `::`[tensorflow::Output](/versions/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|---------------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_serialize_many_sparse_1a7739b8a72c33da0538593ca0f83715e9)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_serialize_many_sparse_1a133c0f10bcd9f50787a6e29449ee4654)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_serialize_many_sparse_1a97858863786b75af5f1b18e86b52470a)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|---------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------|\n| [OutType](#classtensorflow_1_1ops_1_1_serialize_many_sparse_1a05cc33d0e457bc120df0e1b365db8ffd)`(DataType x)` | [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/serialize-many-sparse/attrs#structtensorflow_1_1ops_1_1_serialize_many_sparse_1_1_attrs) |\n\n| ### Structs ||\n|-----------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::SerializeManySparse::Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/serialize-many-sparse/attrs) | Optional attribute setters for [SerializeManySparse](/versions/r2.1/api_docs/cc/class/tensorflow/ops/serialize-many-sparse#classtensorflow_1_1ops_1_1_serialize_many_sparse). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### serialized_sparse\n\n```scdoc\n::tensorflow::Output serialized_sparse\n``` \n\nPublic functions\n----------------\n\n### SerializeManySparse\n\n```gdscript\n SerializeManySparse(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input sparse_indices,\n ::tensorflow::Input sparse_values,\n ::tensorflow::Input sparse_shape\n)\n``` \n\n### SerializeManySparse\n\n```gdscript\n SerializeManySparse(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input sparse_indices,\n ::tensorflow::Input sparse_values,\n ::tensorflow::Input sparse_shape,\n const SerializeManySparse::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### OutType\n\n```text\nAttrs OutType(\n DataType x\n)\n```"]]