# High rank indices (for each i, ..., j)
ref[indices[i, ..., j], ...] = updates[i, ..., j, ...]
Operasi ini mengeluarkan ref setelah pembaruan selesai. Hal ini mempermudah operasi berantai yang perlu menggunakan nilai reset.
Jika nilai dalam ref akan diperbarui lebih dari sekali, karena ada entri duplikat di indices , urutan terjadinya pembaruan untuk setiap nilai tidak ditentukan.
Memerlukan updates.shape = indices.shape + ref.shape[1:] atau updates.shape = [] .
Lihat juga tf.batch_scatter_update dan tf.scatter_nd_update .
use_locking: Jika Benar, tugas akan dilindungi oleh kunci; jika tidak, perilaku tersebut tidak terdefinisikan, namun mungkin menunjukkan lebih sedikit pertentangan.
Pengembalian:
Output : = Sama dengan ref . Dikembalikan untuk memudahkan operasi yang ingin menggunakan nilai yang diperbarui setelah pembaruan selesai.
[null,null,["Terakhir diperbarui pada 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```"]]