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tensor akışı:: işlem:: Bariyer
#include <data_flow_ops.h>
Farklı grafik yürütmelerinde devam eden bir engeli tanımlar.
Özet
Bir bariyer, her anahtarın bir dize olduğu ve her değerin bir tensör kümesi olduğu bir anahtar-değer haritasını temsil eder.
Çalışma zamanında bariyer 'tam' ve 'eksik' öğeler içerir. Tam bir öğe, değer kümesinin tüm bileşenleri için tanımlanmış tensörlere sahiptir ve BarrierTakeMany kullanılarak erişilebilir. Eksik bir öğenin değer kümesinde bazı tanımlanmamış bileşenler bulunur ve BarrierInsertMany kullanılarak güncellenebilir.
Argümanlar:
- kapsam: Bir Kapsam nesnesi
- bileşen_tipleri: Bir değerdeki her bileşenin türü.
İsteğe bağlı özellikler (bkz. Attrs
):
- şekiller: Bir değerdeki her bileşenin şekli. Her şeklin ilk boyutta 1 olması gerekir. Bu özelliğin uzunluğu bileşen_tiplerinin uzunluğuyla aynı olmalıdır.
- kapasite: Bariyerin kapasitesi. Varsayılan kapasite, temel kuyruğun en büyük kapasitesi olan MAX_INT32'dir.
- Konteyner: Boş değilse bu bariyer verilen konteynere yerleştirilir. Aksi halde varsayılan kapsayıcı kullanılır.
- paylaşılan_adı: Boş değilse, bu bariyer verilen ad altında birden fazla oturumda paylaşılacaktır.
İade:
Genel özellikler
Kamu işlevleri
Bariyer
Barrier(
const ::tensorflow::Scope & scope,
const DataTypeSlice & component_types
)
düğüm
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operatör::tensorflow::Çıktı
operator::tensorflow::Output() const
Genel statik işlevler
Kapasite
Attrs Capacity(
int64 x
)
Konteyner
Attrs Container(
StringPiece x
)
Şekiller
Attrs Shapes(
const gtl::ArraySlice< PartialTensorShape > & x
)
PaylaşılanAd
Attrs SharedName(
StringPiece x
)
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Son güncelleme tarihi: 2025-07-26 UTC.
[null,null,["Son güncelleme tarihi: 2025-07-26 UTC."],[],[],null,["# tensorflow::ops::Barrier Class Reference\n\ntensorflow::ops::Barrier\n========================\n\n`#include \u003cdata_flow_ops.h\u003e`\n\nDefines a barrier that persists across different graph executions.\n\nSummary\n-------\n\nA barrier represents a key-value map, where each key is a string, and each value is a tuple of tensors.\n\nAt runtime, the barrier contains 'complete' and 'incomplete' elements. A complete element has defined tensors for all components of its value tuple, and may be accessed using [BarrierTakeMany](/versions/r2.0/api_docs/cc/class/tensorflow/ops/barrier-take-many#classtensorflow_1_1ops_1_1_barrier_take_many). An incomplete element has some undefined components in its value tuple, and may be updated using [BarrierInsertMany](/versions/r2.0/api_docs/cc/class/tensorflow/ops/barrier-insert-many#classtensorflow_1_1ops_1_1_barrier_insert_many).\n\nArguments:\n\n- scope: A [Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- component_types: The type of each component in a value.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/barrier/attrs#structtensorflow_1_1ops_1_1_barrier_1_1_attrs)):\n\n- shapes: The shape of each component in a value. Each shape must be 1 in the first dimension. The length of this attr must be the same as the length of component_types.\n- capacity: The capacity of the barrier. The default capacity is MAX_INT32, which is the largest capacity of the underlying queue.\n- container: If non-empty, this barrier is placed in the given container. Otherwise, a default container is used.\n- shared_name: If non-empty, this barrier will be shared under the given name across multiple sessions.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The handle to the barrier.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [Barrier](#classtensorflow_1_1ops_1_1_barrier_1ae400cc957e34014ea577177c9ee259a7)`(const ::`[tensorflow::Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, const DataTypeSlice & component_types)` ||\n| [Barrier](#classtensorflow_1_1ops_1_1_barrier_1a16852c2beb26f3659acdabc69c948e91)`(const ::`[tensorflow::Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, const DataTypeSlice & component_types, const `[Barrier::Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/barrier/attrs#structtensorflow_1_1ops_1_1_barrier_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [handle](#classtensorflow_1_1ops_1_1_barrier_1a999e0c86fdd1442995bd4dcd49f55f75) | `::`[tensorflow::Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [operation](#classtensorflow_1_1ops_1_1_barrier_1a66ea0f34005305664b3a8c2b7237c73b) | [Operation](/versions/r2.0/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n\n| ### Public functions ||\n|-------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_barrier_1a0572d54a742a10d03a030edd48180865)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_barrier_1a4b6914f3b4916e256dd1b02e731c71b3)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_barrier_1a00b400c1c0d2a50625e5f1deefd7510f)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|-------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------|\n| [Capacity](#classtensorflow_1_1ops_1_1_barrier_1a393954a81f232e756e680fc9e091595d)`(int64 x)` | [Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/barrier/attrs#structtensorflow_1_1ops_1_1_barrier_1_1_attrs) |\n| [Container](#classtensorflow_1_1ops_1_1_barrier_1af53271d59cca63c440ef591e790c1a0a)`(StringPiece x)` | [Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/barrier/attrs#structtensorflow_1_1ops_1_1_barrier_1_1_attrs) |\n| [Shapes](#classtensorflow_1_1ops_1_1_barrier_1a6f503841ebe322db85d2826f56de4fb8)`(const gtl::ArraySlice\u003c PartialTensorShape \u003e & x)` | [Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/barrier/attrs#structtensorflow_1_1ops_1_1_barrier_1_1_attrs) |\n| [SharedName](#classtensorflow_1_1ops_1_1_barrier_1a704c1a8c990c6afe3854ddc6cf9d3d6e)`(StringPiece x)` | [Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/barrier/attrs#structtensorflow_1_1ops_1_1_barrier_1_1_attrs) |\n\n| ### Structs ||\n|---------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::Barrier::Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/barrier/attrs) | Optional attribute setters for [Barrier](/versions/r2.0/api_docs/cc/class/tensorflow/ops/barrier#classtensorflow_1_1ops_1_1_barrier). |\n\nPublic attributes\n-----------------\n\n### handle\n\n```text\n::tensorflow::Output handle\n``` \n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### Barrier\n\n```gdscript\n Barrier(\n const ::tensorflow::Scope & scope,\n const DataTypeSlice & component_types\n)\n``` \n\n### Barrier\n\n```gdscript\n Barrier(\n const ::tensorflow::Scope & scope,\n const DataTypeSlice & component_types,\n const Barrier::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### Capacity\n\n```text\nAttrs Capacity(\n int64 x\n)\n``` \n\n### Container\n\n```text\nAttrs Container(\n StringPiece x\n)\n``` \n\n### Shapes\n\n```gdscript\nAttrs Shapes(\n const gtl::ArraySlice\u003c PartialTensorShape \u003e & x\n)\n``` \n\n### SharedName\n\n```text\nAttrs SharedName(\n StringPiece x\n)\n```"]]