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aliran tensor:: operasi:: ResourceScatterNdAdd
#include <state_ops.h> Menerapkan penambahan renggang pada nilai atau irisan individual dalam Variabel .
Ringkasan
ref adalah Tensor dengan peringkat P dan indices adalah Tensor dengan peringkat Q .
indices harus berupa tensor bilangan bulat, berisi indeks ke dalam ref . Itu harus berbentuk [d_0, ..., d_{Q-2}, K] di mana 0 < K <= P .
Dimensi terdalam dari indices (dengan panjang K ) sesuai dengan indeks menjadi elemen (jika K = P ) atau irisan (jika K < P ) sepanjang K dimensi ke- ref .
updates adalah Tensor peringkat Q-1+PK dengan bentuk:
[d_0, ..., d_{Q-2}, ref.shape[K], ..., ref.shape[P-1]] Misalnya kita ingin menambahkan 4 elemen tersebar ke tensor peringkat-1 menjadi 8 elemen. Di Python, penambahan itu akan terlihat seperti ini:
ref = tf.Variable([1, 2, 3, 4, 5, 6, 7, 8], use_resource=True)
indices = tf.constant([[4], [3], [1], [7]])
updates = tf.constant([9, 10, 11, 12])
add = tf.scatter_nd_add(ref, indices, updates)
with tf.Session() as sess:
print sess.run(add)
Pembaruan yang dihasilkan untuk ref akan terlihat seperti ini:
[1, 13, 3, 14, 14, 6, 7, 20]
Lihat tf.scatter_nd untuk detail selengkapnya tentang cara memperbarui irisan.
Argumen:
- ruang lingkup: Objek Lingkup
- ref: Pegangan sumber daya. Harus dari VarHandleOp.
- indeks: Tensor . Harus berupa salah satu dari jenis berikut: int32, int64. Tensor indeks menjadi ref.
- pembaruan: Tensor . Harus memiliki tipe yang sama dengan ref. Tensor nilai untuk ditambahkan ke referensi.
Atribut opsional (lihat Attrs ):
- use_locking: Bool opsional. Defaultnya adalah Benar. Jika Benar, penugasan akan dilindungi oleh kunci; jika tidak, perilaku tersebut tidak terdefinisikan, namun mungkin menunjukkan lebih sedikit pertentangan.
Pengembalian:
Atribut publik
Fungsi publik
operator::tensorflow::Operasi
operator::tensorflow::Operation() const
Fungsi statis publik
Gunakan Penguncian
Attrs UseLocking(
bool x
)
Kecuali dinyatakan lain, konten di halaman ini dilisensikan berdasarkan Lisensi Creative Commons Attribution 4.0, sedangkan contoh kode dilisensikan berdasarkan Lisensi Apache 2.0. Untuk mengetahui informasi selengkapnya, lihat Kebijakan Situs Google Developers. Java adalah merek dagang terdaftar dari Oracle dan/atau afiliasinya.
Terakhir diperbarui pada 2025-07-26 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-26 UTC."],[],[],null,["# tensorflow::ops::ResourceScatterNdAdd Class Reference\n\ntensorflow::ops::ResourceScatterNdAdd\n=====================================\n\n`#include \u003cstate_ops.h\u003e`\n\nApplies sparse addition to individual values or slices in a [Variable](/versions/r1.15/api_docs/cc/class/tensorflow/ops/variable#classtensorflow_1_1ops_1_1_variable).\n\nSummary\n-------\n\n`ref` is a [Tensor](/versions/r1.15/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) with rank `P` and `indices` is a [Tensor](/versions/r1.15/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) of rank `Q`.\n\n`indices` must be integer tensor, containing indices into `ref`. It must be shape `[d_0, ..., d_{Q-2}, K]` where `0 \u003c K \u003c= P`.\n\nThe innermost dimension of `indices` (with length `K`) corresponds to indices into elements (if `K = P`) or slices (if `K \u003c P`) along the `K`th dimension of `ref`.\n\n`updates` is [Tensor](/versions/r1.15/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) of rank `Q-1+P-K` with shape:\n\n\n```transact-sql\n[d_0, ..., d_{Q-2}, ref.shape[K], ..., ref.shape[P-1]]\n```\n\n\u003cbr /\u003e\n\nFor example, say we want to add 4 scattered elements to a rank-1 tensor to 8 elements. In Python, that addition would look like this:\n\n\n```gdscript\nref = tf.Variable([1, 2, 3, 4, 5, 6, 7, 8], use_resource=True)\nindices = tf.constant([[4], [3], [1], [7]])\nupdates = tf.constant([9, 10, 11, 12])\nadd = tf.scatter_nd_add(ref, indices, updates)\nwith tf.Session() as sess:\n print sess.run(add)\n```\n\n\u003cbr /\u003e\n\nThe resulting update to ref would look like this: \n\n```text\n[1, 13, 3, 14, 14, 6, 7, 20]\n```\n\n\u003cbr /\u003e\n\nSee `tf.scatter_nd` for more details about how to make updates to slices.\n\nArguments:\n\n- scope: A [Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- ref: A resource handle. Must be from a VarHandleOp.\n- indices: A [Tensor](/versions/r1.15/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor). Must be one of the following types: int32, int64. A tensor of indices into ref.\n- updates: A [Tensor](/versions/r1.15/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor). Must have the same type as ref. A tensor of values to add to ref.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-scatter-nd-add/attrs#structtensorflow_1_1ops_1_1_resource_scatter_nd_add_1_1_attrs)):\n\n- use_locking: An optional bool. Defaults to True. 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- the created [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation)\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [ResourceScatterNdAdd](#classtensorflow_1_1ops_1_1_resource_scatter_nd_add_1ac61a21576bf08251b3104cbc6368deaf)`(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| [ResourceScatterNdAdd](#classtensorflow_1_1ops_1_1_resource_scatter_nd_add_1ac36189a70aec0cf684abb8369d023498)`(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 `[ResourceScatterNdAdd::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-scatter-nd-add/attrs#structtensorflow_1_1ops_1_1_resource_scatter_nd_add_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-----------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_resource_scatter_nd_add_1ac94d129f0515c41be9253e727aaa988f) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n\n| ### Public functions ||\n|--------------------------------------------------------------------------------------------------------------------------------------|---------|\n| [operator::tensorflow::Operation](#classtensorflow_1_1ops_1_1_resource_scatter_nd_add_1a92cc69e6d97d0804f540a89ecc837f72)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|----------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [UseLocking](#classtensorflow_1_1ops_1_1_resource_scatter_nd_add_1a817236acee28e1372228a96333567b07)`(bool x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-scatter-nd-add/attrs#structtensorflow_1_1ops_1_1_resource_scatter_nd_add_1_1_attrs) |\n\n| ### Structs ||\n|---------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::ResourceScatterNdAdd::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-scatter-nd-add/attrs) | Optional attribute setters for [ResourceScatterNdAdd](/versions/r1.15/api_docs/cc/class/tensorflow/ops/resource-scatter-nd-add#classtensorflow_1_1ops_1_1_resource_scatter_nd_add). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### ResourceScatterNdAdd\n\n```gdscript\n ResourceScatterNdAdd(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input ref,\n ::tensorflow::Input indices,\n ::tensorflow::Input updates\n)\n``` \n\n### ResourceScatterNdAdd\n\n```gdscript\n ResourceScatterNdAdd(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input ref,\n ::tensorflow::Input indices,\n ::tensorflow::Input updates,\n const ResourceScatterNdAdd::Attrs & attrs\n)\n``` \n\n### operator::tensorflow::Operation\n\n```gdscript\n operator::tensorflow::Operation() const \n``` \n\nPublic static functions\n-----------------------\n\n### UseLocking\n\n```text\nAttrs UseLocking(\n bool x\n)\n```"]]
