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aliran tensor:: operasi:: AntrianDequeueUpTo
#include <data_flow_ops.h>
Dequeues n
tupel dari satu atau lebih tensor dari antrian yang diberikan.
Ringkasan
Operasi ini tidak didukung oleh semua antrean. Jika antrean tidak mendukung DequeueUpTo, maka kesalahan yang tidak diterapkan akan dikembalikan.
Jika antrian ditutup dan terdapat lebih dari 0 tetapi kurang dari n
elemen yang tersisa, maka alih-alih mengembalikan kesalahan OutOfRange seperti QueueDequeueMany , elemen yang kurang dari n
akan segera dikembalikan. Jika antrian ditutup dan ada 0 elemen tersisa dalam antrian, maka kesalahan OutOfRange dikembalikan seperti di QueueDequeueMany . Kalau tidak, perilakunya identik dengan QueueDequeueMany :
Operasi ini menggabungkan tensor komponen elemen antrian sepanjang dimensi ke-0 untuk membuat tensor komponen tunggal. Semua komponen dalam tupel dequeued akan memiliki ukuran n pada dimensi ke-0.
Operasi ini mempunyai keluaran k
, dimana k
adalah jumlah komponen dalam tupel yang disimpan dalam antrian tertentu, dan keluaran i
adalah komponen ke-i dari tupel yang di-dequeued.
Argumen:
- ruang lingkup: Objek Lingkup
- handle: Pegangan untuk antrian.
- n: Jumlah tupel yang akan didequeue.
- component_types: Jenis setiap komponen dalam sebuah Tuple.
Atribut opsional (lihat Attrs
):
- timeout_ms: Jika antrian memiliki kurang dari n elemen, operasi ini akan memblokir hingga timeout_ms milidetik. Catatan: Opsi ini belum didukung.
Pengembalian:
-
OutputList
: Satu atau lebih tensor yang di-dequeue sebagai tuple.
Atribut publik
Fungsi publik
Fungsi statis publik
Batas waktuMs
Attrs TimeoutMs(
int64 x
)
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Terakhir diperbarui pada 2025-07-27 UTC.
[null,null,["Terakhir diperbarui pada 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```"]]