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텐서플로우:: 작전:: 대기열DequeueUpTo
#include <data_flow_ops.h>
주어진 대기열에서 하나 이상의 텐서 n
튜플을 대기열에서 제거합니다.
요약
이 작업은 모든 대기열에서 지원되지 않습니다. 대기열이 DequeueUpTo를 지원하지 않으면 Unimplemented 오류가 반환됩니다.
큐가 닫히고 0보다 크고 n
개 미만의 요소가 남아 있는 경우 QueueDequeueMany 와 같은 OutOfRange 오류를 반환하는 대신 n
개 미만의 요소가 즉시 반환됩니다. 큐가 닫혀 있고 큐에 0개의 요소가 남아 있으면 QueueDequeueMany 와 마찬가지로 OutOfRange 오류가 반환됩니다. 그렇지 않은 경우 동작은 QueueDequeueMany 와 동일합니다.
이 작업은 0차원을 따라 대기열 요소 구성 요소 텐서를 연결하여 단일 구성 요소 텐서를 만듭니다. 대기열에서 제거된 튜플의 모든 구성 요소는 0차원에서 크기 n을 갖습니다.
이 연산에는 k
출력이 있습니다. 여기서 k
는 주어진 대기열에 저장된 튜플의 구성 요소 수이고 출력 i
는 대기열에서 제거된 튜플의 i번째 구성 요소입니다.
인수:
- 범위: 범위 개체
- 핸들: 큐에 대한 핸들입니다.
- n: 큐에서 제거할 튜플 수입니다.
- component_types: 튜플에 있는 각 구성 요소의 유형입니다.
선택적 속성( Attrs
참조):
- timeout_ms: 대기열의 요소가 n개 미만인 경우 이 작업은 최대 timeout_ms 밀리초 동안 차단됩니다. 참고: 이 옵션은 아직 지원되지 않습니다.
보고:
-
OutputList
: 튜플로 대기열에서 제외된 하나 이상의 텐서.
공개 속성
공공 기능
공개 정적 함수
시간 초과(Ms)
Attrs TimeoutMs(
int64 x
)
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최종 업데이트: 2025-07-27(UTC)
[null,null,["최종 업데이트: 2025-07-27(UTC)"],[],[],null,["# tensorflow::ops::QueueDequeueUpTo Class Reference\n\ntensorflow::ops::QueueDequeueUpTo\n=================================\n\n`#include \u003cdata_flow_ops.h\u003e`\n\nDequeues `n` tuples of one or more tensors from the given queue.\n\nSummary\n-------\n\nThis operation is not supported by all queues. If a queue does not support DequeueUpTo, then an Unimplemented error is returned.\n\nIf the queue is closed and there are more than 0 but less than `n` elements remaining, then instead of returning an OutOfRange error like [QueueDequeueMany](/versions/r2.1/api_docs/cc/class/tensorflow/ops/queue-dequeue-many#classtensorflow_1_1ops_1_1_queue_dequeue_many), less than `n` elements are returned immediately. If the queue is closed and there are 0 elements left in the queue, then an OutOfRange error is returned just like in [QueueDequeueMany](/versions/r2.1/api_docs/cc/class/tensorflow/ops/queue-dequeue-many#classtensorflow_1_1ops_1_1_queue_dequeue_many). Otherwise the behavior is identical to [QueueDequeueMany](/versions/r2.1/api_docs/cc/class/tensorflow/ops/queue-dequeue-many#classtensorflow_1_1ops_1_1_queue_dequeue_many):\n\nThis operation concatenates queue-element component tensors along the 0th dimension to make a single component tensor. [All](/versions/r2.1/api_docs/cc/class/tensorflow/ops/all#classtensorflow_1_1ops_1_1_all) of the components in the dequeued tuple will have size n in the 0th dimension.\n\nThis operation has `k` outputs, where `k` is the number of components in the tuples stored in the given queue, and output `i` is the ith component of the dequeued tuple.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- handle: The handle to a queue.\n- n: The number of tuples to dequeue.\n- component_types: The type of each component in a tuple.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/queue-dequeue-up-to/attrs#structtensorflow_1_1ops_1_1_queue_dequeue_up_to_1_1_attrs)):\n\n- timeout_ms: If the queue has fewer than n elements, 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- `OutputList`: One or more tensors that were dequeued as a tuple.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [QueueDequeueUpTo](#classtensorflow_1_1ops_1_1_queue_dequeue_up_to_1aca97813734e5ee8336249c2d1cee8630)`(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)` handle, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` n, const DataTypeSlice & component_types)` ||\n| [QueueDequeueUpTo](#classtensorflow_1_1ops_1_1_queue_dequeue_up_to_1a6e43ee993ab5a91d42cf6bb2ae59a53f)`(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)` handle, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` n, const DataTypeSlice & component_types, const `[QueueDequeueUpTo::Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/queue-dequeue-up-to/attrs#structtensorflow_1_1ops_1_1_queue_dequeue_up_to_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|--------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------|\n| [components](#classtensorflow_1_1ops_1_1_queue_dequeue_up_to_1a0679388d38032e4520a34428aeae1a31) | `::`[tensorflow::OutputList](/versions/r2.1/api_docs/cc/group/core#group__core_1gab449e6a3abd500c2f4ea93f9e89ba96c) |\n| [operation](#classtensorflow_1_1ops_1_1_queue_dequeue_up_to_1a20f6d60f9d0837a67db6bd29d2078fad) | [Operation](/versions/r2.1/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n\n| ### Public functions ||\n|-------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operator[]](#classtensorflow_1_1ops_1_1_queue_dequeue_up_to_1a30cf1d991c2f78f4edb53783d1bda37e)`(size_t index) const ` | `::`[tensorflow::Output](/versions/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public static functions ||\n|------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------|\n| [TimeoutMs](#classtensorflow_1_1ops_1_1_queue_dequeue_up_to_1a5a0258537ccd1cc274cd984b6f97a364)`(int64 x)` | [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/queue-dequeue-up-to/attrs#structtensorflow_1_1ops_1_1_queue_dequeue_up_to_1_1_attrs) |\n\n| ### Structs ||\n|------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::QueueDequeueUpTo::Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/queue-dequeue-up-to/attrs) | Optional attribute setters for [QueueDequeueUpTo](/versions/r2.1/api_docs/cc/class/tensorflow/ops/queue-dequeue-up-to#classtensorflow_1_1ops_1_1_queue_dequeue_up_to). |\n\nPublic attributes\n-----------------\n\n### components\n\n```text\n::tensorflow::OutputList components\n``` \n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### QueueDequeueUpTo\n\n```gdscript\n QueueDequeueUpTo(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input handle,\n ::tensorflow::Input n,\n const DataTypeSlice & component_types\n)\n``` \n\n### QueueDequeueUpTo\n\n```gdscript\n QueueDequeueUpTo(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input handle,\n ::tensorflow::Input n,\n const DataTypeSlice & component_types,\n const QueueDequeueUpTo::Attrs & attrs\n)\n``` \n\n### operator\\[\\]\n\n```gdscript\n::tensorflow::Output operator[](\n size_t index\n) const \n``` \n\nPublic static functions\n-----------------------\n\n### TimeoutMs\n\n```text\nAttrs TimeoutMs(\n int64 x\n)\n```"]]