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텐서플로우:: 작전:: 대기열인큐많은
#include <data_flow_ops.h>
주어진 대기열에 하나 이상의 텐서로 구성된 0개 이상의 튜플을 대기열에 넣습니다.
요약
이 작업은 0차원을 따라 각 구성요소 텐서를 분할하여 여러 대기열 요소를 만듭니다. 모든 튜플 구성 요소는 0번째 차원에서 동일한 크기를 가져야 합니다.
구성 요소 입력에는 주어진 대기열에 저장된 튜플의 구성 요소에 해당하는 k 개의 요소가 있습니다.
NB 대기열이 꽉 차면 해당 요소가 대기열에 포함될 때까지(또는 지정된 경우 'timeout_ms'가 경과할 때까지) 이 작업이 차단됩니다.
인수:
- 범위: 범위 개체
- 핸들: 큐에 대한 핸들입니다.
- 구성 요소: 대기열에 추가된 텐서를 가져와야 하는 하나 이상의 텐서입니다.
선택적 속성( Attrs
참조):
- timeout_ms: 대기열이 너무 가득 차면 이 작업은 최대 timeout_ms 밀리초 동안 차단됩니다. 참고: 이 옵션은 아직 지원되지 않습니다.
보고:
공개 속성
공공 기능
연산자::텐서플로우::작업
operator::tensorflow::Operation() const
공개 정적 함수
시간 초과(Ms)
Attrs TimeoutMs(
int64 x
)
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최종 업데이트: 2025-07-26(UTC)
[null,null,["최종 업데이트: 2025-07-26(UTC)"],[],[],null,["# tensorflow::ops::QueueEnqueueMany Class Reference\n\ntensorflow::ops::QueueEnqueueMany\n=================================\n\n`#include \u003cdata_flow_ops.h\u003e`\n\nEnqueues zero or more tuples of one or more tensors in the given queue.\n\nSummary\n-------\n\nThis operation slices each component tensor along the 0th dimension to make multiple queue elements. [All](/versions/r1.15/api_docs/cc/class/tensorflow/ops/all#classtensorflow_1_1ops_1_1_all) of the tuple components must have the same size in the 0th dimension.\n\nThe components input has k elements, which correspond to the components of tuples stored in the given queue.\n\nN.B. If the queue is full, this operation will block until the given elements have been enqueued (or 'timeout_ms' elapses, if specified).\n\nArguments:\n\n- scope: A [Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- handle: The handle to a queue.\n- components: One or more tensors from which the enqueued tensors should be taken.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/queue-enqueue-many/attrs#structtensorflow_1_1ops_1_1_queue_enqueue_many_1_1_attrs)):\n\n- timeout_ms: If the queue is too full, this operation will block for up to timeout_ms milliseconds. Note: This option is not supported yet.\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| [QueueEnqueueMany](#classtensorflow_1_1ops_1_1_queue_enqueue_many_1a5ecdf3e3a6258d96aead53f0a7dd978d)`(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)` handle, ::`[tensorflow::InputList](/versions/r1.15/api_docs/cc/class/tensorflow/input-list#classtensorflow_1_1_input_list)` components)` ||\n| [QueueEnqueueMany](#classtensorflow_1_1ops_1_1_queue_enqueue_many_1afefa06b2fa7cccfdcadef27efed52358)`(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)` handle, ::`[tensorflow::InputList](/versions/r1.15/api_docs/cc/class/tensorflow/input-list#classtensorflow_1_1_input_list)` components, const `[QueueEnqueueMany::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/queue-enqueue-many/attrs#structtensorflow_1_1ops_1_1_queue_enqueue_many_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_queue_enqueue_many_1a446ef8eb2cfb77152f2bdb7478c31824) | [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_queue_enqueue_many_1a884681259cd800fb78503ea825852430)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|-----------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------|\n| [TimeoutMs](#classtensorflow_1_1ops_1_1_queue_enqueue_many_1ae1ceaf22a97e82b627c27817a388c723)`(int64 x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/queue-enqueue-many/attrs#structtensorflow_1_1ops_1_1_queue_enqueue_many_1_1_attrs) |\n\n| ### Structs ||\n|------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::QueueEnqueueMany::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/queue-enqueue-many/attrs) | Optional attribute setters for [QueueEnqueueMany](/versions/r1.15/api_docs/cc/class/tensorflow/ops/queue-enqueue-many#classtensorflow_1_1ops_1_1_queue_enqueue_many). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### QueueEnqueueMany\n\n```gdscript\n QueueEnqueueMany(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input handle,\n ::tensorflow::InputList components\n)\n``` \n\n### QueueEnqueueMany\n\n```gdscript\n QueueEnqueueMany(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input handle,\n ::tensorflow::InputList components,\n const QueueEnqueueMany::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### TimeoutMs\n\n```text\nAttrs TimeoutMs(\n int64 x\n)\n```"]]