Koleksiyonlar ile düzeninizi koruyun
İçeriği tercihlerinize göre kaydedin ve kategorilere ayırın.
tensor akışı:: işlem:: BariyerEksikBoyut
#include <data_flow_ops.h> Verilen bariyerdeki eksik elemanların sayısını hesaplar.
Özet
Argümanlar:
- kapsam: Bir Kapsam nesnesi
- tutamak: Bir bariyerin sapı.
İade:
-
Output : Bariyerdeki tamamlanmamış öğelerin (yani bazı değer bileşenleri ayarlanmamış olanların) sayısı.
Genel özellikler
Kamu işlevleri
düğüm
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operatör::tensorflow::Çıktı
operator::tensorflow::Output() const
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: 2025-07-27 UTC.
[null,null,["Son güncelleme tarihi: 2025-07-27 UTC."],[],[],null,["# tensorflow::ops::BarrierIncompleteSize Class Reference\n\ntensorflow::ops::BarrierIncompleteSize\n======================================\n\n`#include \u003cdata_flow_ops.h\u003e`\n\nComputes the number of incomplete elements in the given barrier.\n\nSummary\n-------\n\nArguments:\n\n- scope: A [Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- handle: The handle to a barrier.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The number of incomplete elements (i.e. those with some of their value components not set) in the barrier.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [BarrierIncompleteSize](#classtensorflow_1_1ops_1_1_barrier_incomplete_size_1aae0ce9b883a397fd5866d8d8fe40ac5c)`(const ::`[tensorflow::Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` handle)` ||\n\n| ### Public attributes ||\n|-----------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_barrier_incomplete_size_1a0efa875ea12db3a40f4ac1cd46693292) | [Operation](/versions/r2.3/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [size](#classtensorflow_1_1ops_1_1_barrier_incomplete_size_1a402b71e4355afa3e2dcbe8aaf0b1e480) | `::`[tensorflow::Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|-----------------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_barrier_incomplete_size_1a2c41002f6e148fd17ba8a469d0b4173a)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_barrier_incomplete_size_1ad72344e5b81b50744987e96dbd8928bc)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_barrier_incomplete_size_1a18b15fab96a5dfc2940adaf40a3d39c2)`() const ` | ` ` ` ` |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### size\n\n```text\n::tensorflow::Output size\n``` \n\nPublic functions\n----------------\n\n### BarrierIncompleteSize\n\n```gdscript\n BarrierIncompleteSize(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input handle\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```"]]
