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tensor akışı:: işlem:: DağılımDiv
#include <state_ops.h>
Değişken referansını seyrek güncellemelere böler.
Özet
Bu işlem hesaplanır
# Scalar indices
ref[indices, ...] /= updates[...]
# Vector indices (for each i)
ref[indices[i], ...] /= updates[i, ...]
# High rank indices (for each i, ..., j)
ref[indices[i, ..., j], ...] /= updates[i, ..., j, ...]
Bu işlem, güncelleme tamamlandıktan sonra ref
çıktısını verir. Bu, sıfırlama değerini kullanması gereken işlemleri zincirlemeyi kolaylaştırır.
Yinelenen girişler doğru şekilde işlenir: birden fazla indices
aynı konuma referans veriyorsa katkıları bölünür.
updates.shape = indices.shape + ref.shape[1:]
veya updates.shape = []
gerektirir.
Argümanlar:
- kapsam: Bir Kapsam nesnesi
- ref:
Variable
bir düğümden olmalıdır. - indeksler:
ref
ilk boyutuna endekslerin tensörü. - güncellemeler:
ref
bölündüğü değerlerin tensörü.
İsteğe bağlı özellikler (bkz. Attrs
):
- use_locking: True ise işlem bir kilitle korunacaktır; aksi takdirde davranış tanımsızdır ancak daha az çekişme sergileyebilir.
İade:
-
Output
: = ref
ile aynı. Güncelleme yapıldıktan sonra güncellenen değerleri kullanmak isteyen işlemler için kolaylık sağlamak amacıyla geri döndü.
Genel özellikler
Kamu işlevleri
düğüm
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operatör::tensorflow::Çıktı
operator::tensorflow::Output() const
Genel statik işlevler
KullanımKilitleme
Attrs UseLocking(
bool x
)
Aksi belirtilmediği sürece bu sayfanın içeriği Creative Commons Atıf 4.0 Lisansı altında ve kod örnekleri Apache 2.0 Lisansı altında lisanslanmıştır. Ayrıntılı bilgi için Google Developers Site Politikaları'na göz atın. Java, Oracle ve/veya satış ortaklarının tescilli ticari markasıdır.
Son güncelleme tarihi: 2025-07-26 UTC.
[null,null,["Son güncelleme tarihi: 2025-07-26 UTC."],[],[],null,["# tensorflow::ops::ScatterDiv Class Reference\n\ntensorflow::ops::ScatterDiv\n===========================\n\n`#include \u003cstate_ops.h\u003e`\n\nDivides a variable reference by sparse updates.\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\nDuplicate entries are handled correctly: if multiple `indices` reference the same location, their contributions divide.\n\nRequires `updates.shape = indices.shape + ref.shape[1:]` or `updates.shape = []`.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- ref: Should be from a [Variable](/versions/r2.1/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 values that `ref` is divided by.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/scatter-div/attrs#structtensorflow_1_1ops_1_1_scatter_div_1_1_attrs)):\n\n- use_locking: If True, the operation 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/r2.1/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| [ScatterDiv](#classtensorflow_1_1ops_1_1_scatter_div_1a6f5331b7d6d93eb827b6dffc9ee8ea3e)`(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| [ScatterDiv](#classtensorflow_1_1ops_1_1_scatter_div_1a7ac34a9f909edf4380d102b00e4b3667)`(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 `[ScatterDiv::Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/scatter-div/attrs#structtensorflow_1_1ops_1_1_scatter_div_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_scatter_div_1a545009b3ff38f96178cb28c10e00a19e) | [Operation](/versions/r2.1/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output_ref](#classtensorflow_1_1ops_1_1_scatter_div_1a9dd470b2028739c52eaf7d74b2f33938) | `::`[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_scatter_div_1ab42ab1d51f0a620b0c0c26e1c44dbcef)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_scatter_div_1aba889345b14720ce81925d52ebbe2d07)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_scatter_div_1a589cea85fd6873f8942f22d45f3e0022)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|----------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------|\n| [UseLocking](#classtensorflow_1_1ops_1_1_scatter_div_1a1ce283b718bfb51e90d26a18d5e82722)`(bool x)` | [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/scatter-div/attrs#structtensorflow_1_1ops_1_1_scatter_div_1_1_attrs) |\n\n| ### Structs ||\n|----------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::ScatterDiv::Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/scatter-div/attrs) | Optional attribute setters for [ScatterDiv](/versions/r2.1/api_docs/cc/class/tensorflow/ops/scatter-div#classtensorflow_1_1ops_1_1_scatter_div). |\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### ScatterDiv\n\n```gdscript\n ScatterDiv(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input ref,\n ::tensorflow::Input indices,\n ::tensorflow::Input updates\n)\n``` \n\n### ScatterDiv\n\n```gdscript\n ScatterDiv(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input ref,\n ::tensorflow::Input indices,\n ::tensorflow::Input updates,\n const ScatterDiv::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```"]]