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tensor akışı:: işlem:: Kaynak DağılımıNdAdd
#include <state_ops.h> Bir Değişkendeki tek tek değerlere veya dilimlere seyrek toplama uygular.
Özet
ref , P derecesine sahip bir Tensor ve indices , Q derecesine sahip bir Tensor .
indices ref içindeki dizinleri içeren tamsayı tensör olmalıdır. [d_0, ..., d_{Q-2}, K] şeklinde olmalıdır, burada 0 < K <= P .
indices en iç boyutu ( K uzunluğunda), ref K boyutu boyunca elemanlar ( K = P ise) veya dilimler ( K < P ise) şeklindeki endekslere karşılık gelir.
updates Q-1+PK dereceli Tensor ve şu şekle sahiptir:
[d_0, ..., d_{Q-2}, ref.shape[K], ..., ref.shape[P-1]] Örneğin, 8 elemanlı bir derece 1 tensöre 4 dağınık eleman eklemek istediğimizi varsayalım. Python'da bu ekleme şöyle görünecektir:
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)
Sonuçta ortaya çıkan ref güncellemesi şöyle görünecektir:
[1, 13, 3, 14, 14, 6, 7, 20]
Dilimlerde güncellemelerin nasıl yapılacağı hakkında daha fazla ayrıntı için tf.scatter_nd bakın.
Argümanlar:
- kapsam: Bir Kapsam nesnesi
- ref: Bir kaynak tanıtıcısı. Bir VarHandleOp'tan olmalıdır.
- endeksler: A Tensör . Aşağıdaki türlerden biri olmalıdır: int32, int64. Ref'e endekslerin tensörü.
- güncellemeler: Bir Tensör . Ref ile aynı türde olmalıdır. Ref'e eklenecek değerlerin tensörü.
İsteğe bağlı özellikler (bkz. Attrs ):
- use_locking: İsteğe bağlı bir bool. Varsayılan olarak True'dur. True ise atama bir kilitle korunacaktır; aksi takdirde davranış tanımsızdır ancak daha az çekişme sergileyebilir.
İade:
Genel özellikler
Kamu işlevleri
operatör::tensorflow::İşlem
operator::tensorflow::Operation() const
Genel statik işlevler
KullanımKilitleme
Attrs UseLocking(
bool x
)
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Son güncelleme tarihi: 2025-07-26 UTC.
[null,null,["Son güncelleme tarihi: 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/r2.1/api_docs/cc/class/tensorflow/ops/variable#classtensorflow_1_1ops_1_1_variable).\n\nSummary\n-------\n\n`ref` is a [Tensor](/versions/r2.1/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) with rank `P` and `indices` is a [Tensor](/versions/r2.1/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/r2.1/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/r2.1/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/r2.1/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/r2.1/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/r2.1/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/r2.1/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/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)` ref, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices, ::`[tensorflow::Input](/versions/r2.1/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/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)` ref, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` updates, const `[ResourceScatterNdAdd::Attrs](/versions/r2.1/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/r2.1/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/r2.1/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/r2.1/api_docs/cc/struct/tensorflow/ops/resource-scatter-nd-add/attrs) | Optional attribute setters for [ResourceScatterNdAdd](/versions/r2.1/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```"]]
