# High rank indices (for each i, ..., j)
ref[indices[i, ..., j], ...] = updates[i, ..., j, ...]
Cette opération génère ref une fois la mise à jour terminée. Cela facilite l’enchaînement des opérations nécessitant l’utilisation de la valeur de réinitialisation.
Si les valeurs dans ref doivent être mises à jour plus d'une fois, car il existe des entrées en double dans indices , l'ordre dans lequel les mises à jour ont lieu pour chaque valeur n'est pas défini.
use_locking : Si True, l'affectation sera protégée par un verrou ; sinon, le comportement n'est pas défini, mais peut présenter moins de conflits.
Retours :
Output : = Identique à ref . Renvoyé pour plus de commodité pour les opérations qui souhaitent utiliser les valeurs mises à jour une fois la mise à jour terminée.
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::ScatterUpdate Class Reference\n\ntensorflow::ops::ScatterUpdate\n==============================\n\n`#include \u003cstate_ops.h\u003e`\n\nApplies sparse updates to a variable reference.\n\nSummary\n-------\n\nThis operation computes\n\n\n```text\n # Scalar indices\n ref[indices, ...] = updates[...]\n```\n\n\u003cbr /\u003e\n\n\n```transact-sql\n # Vector indices (for each i)\n ref[indices[i], ...] = updates[i, ...]\n```\n\n\u003cbr /\u003e\n\n\n```text\n # High rank indices (for each i, ..., j)\n ref[indices[i, ..., j], ...] = updates[i, ..., j, ...]\n```\n\n\u003cbr /\u003e\n\nThis operation outputs `ref` after the update is done. This makes it easier to chain operations that need to use the reset value.\n\nIf values in `ref` is to be updated more than once, because there are duplicate entries in `indices`, the order at which the updates happen for each value is undefined.\n\nRequires `updates.shape = indices.shape + ref.shape[1:]` or `updates.shape = []`.\n\n\n\u003cbr /\u003e\n\nSee also `tf.batch_scatter_update` and `tf.scatter_nd_update`.\n\nArguments:\n\n- scope: A [Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- ref: Should be from a [Variable](/versions/r1.15/api_docs/cc/class/tensorflow/ops/variable#classtensorflow_1_1ops_1_1_variable) node.\n- indices: A tensor of indices into the first dimension of `ref`.\n- updates: A tensor of updated values to store in `ref`.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/scatter-update/attrs#structtensorflow_1_1ops_1_1_scatter_update_1_1_attrs)):\n\n- use_locking: If True, the assignment will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): = Same as `ref`. Returned as a convenience for operations that want to use the updated values after the update is done.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [ScatterUpdate](#classtensorflow_1_1ops_1_1_scatter_update_1af11a28f7f16034316972ca7af5300091)`(const ::`[tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` ref, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` updates)` ||\n| [ScatterUpdate](#classtensorflow_1_1ops_1_1_scatter_update_1a24930d0359067d34acd2eb9909cb7284)`(const ::`[tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` ref, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` updates, const `[ScatterUpdate::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/scatter-update/attrs#structtensorflow_1_1ops_1_1_scatter_update_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|---------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_scatter_update_1a947a92603c1a76d79f820bcfbd770085) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output_ref](#classtensorflow_1_1ops_1_1_scatter_update_1a3393017bac00574a56c1e9dbfa571e13) | `::`[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_scatter_update_1ae8ab84fd6c4d480a1e0d0f7b5ddf0511)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_scatter_update_1a001e1fa15db57c166861b2299d0eb2dc)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_scatter_update_1a06922deb16980eff51b1ca3d6474285a)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|-------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------|\n| [UseLocking](#classtensorflow_1_1ops_1_1_scatter_update_1a2c494808116c7f942974b90f363d323f)`(bool x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/scatter-update/attrs#structtensorflow_1_1ops_1_1_scatter_update_1_1_attrs) |\n\n| ### Structs ||\n|-----------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::ScatterUpdate::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/scatter-update/attrs) | Optional attribute setters for [ScatterUpdate](/versions/r1.15/api_docs/cc/class/tensorflow/ops/scatter-update#classtensorflow_1_1ops_1_1_scatter_update). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### output_ref\n\n```scdoc\n::tensorflow::Output output_ref\n``` \n\nPublic functions\n----------------\n\n### ScatterUpdate\n\n```gdscript\n ScatterUpdate(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input ref,\n ::tensorflow::Input indices,\n ::tensorflow::Input updates\n)\n``` \n\n### ScatterUpdate\n\n```gdscript\n ScatterUpdate(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input ref,\n ::tensorflow::Input indices,\n ::tensorflow::Input updates,\n const ScatterUpdate::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### UseLocking\n\n```text\nAttrs UseLocking(\n bool x\n)\n```"]]
