Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
aliran tensor:: operasi:: AntrianDequeueBanyak
#include <data_flow_ops.h> Dequeues n tupel dari satu atau lebih tensor dari antrian yang diberikan.
Ringkasan
Jika antrian ditutup dan terdapat kurang dari n elemen, maka kesalahan OutOfRange dikembalikan.
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.
NB Jika antrian kosong, operasi ini akan diblokir sampai n elemen telah di-dequeued (atau 'timeout_ms' berlalu, jika ditentukan).
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 waktu Ms
Attrs TimeoutMs(
int64 x
)
Kecuali dinyatakan lain, konten di halaman ini dilisensikan berdasarkan Lisensi Creative Commons Attribution 4.0, sedangkan contoh kode dilisensikan berdasarkan Lisensi Apache 2.0. Untuk mengetahui informasi selengkapnya, lihat Kebijakan Situs Google Developers. Java adalah merek dagang terdaftar dari Oracle dan/atau afiliasinya.
Terakhir diperbarui pada 2025-07-25 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-25 UTC."],[],[],null,["# tensorflow::ops::QueueDequeueMany Class Reference\n\ntensorflow::ops::QueueDequeueMany\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\nIf the queue is closed and there are fewer than `n` elements, then an OutOfRange error is returned.\n\nThis operation concatenates queue-element component tensors along the 0th dimension to make a single component tensor. [All](/versions/r1.15/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\nN.B. If the queue is empty, this operation will block until `n` elements have been dequeued (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- 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/r1.15/api_docs/cc/struct/tensorflow/ops/queue-dequeue-many/attrs#structtensorflow_1_1ops_1_1_queue_dequeue_many_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| [QueueDequeueMany](#classtensorflow_1_1ops_1_1_queue_dequeue_many_1af0787d738d8e5c2f19921973db8e2481)`(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::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` n, const DataTypeSlice & component_types)` ||\n| [QueueDequeueMany](#classtensorflow_1_1ops_1_1_queue_dequeue_many_1a8d1c93762d52332bf32cf0affcf42447)`(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::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` n, const DataTypeSlice & component_types, const `[QueueDequeueMany::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/queue-dequeue-many/attrs#structtensorflow_1_1ops_1_1_queue_dequeue_many_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------|\n| [components](#classtensorflow_1_1ops_1_1_queue_dequeue_many_1ad008417bd88a61cc3561b12b2655e192) | `::`[tensorflow::OutputList](/versions/r1.15/api_docs/cc/group/core#group__core_1gab449e6a3abd500c2f4ea93f9e89ba96c) |\n| [operation](#classtensorflow_1_1ops_1_1_queue_dequeue_many_1a8022cd22dda1a2ece65d36a11766035d) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n\n| ### Public functions ||\n|------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operator[]](#classtensorflow_1_1ops_1_1_queue_dequeue_many_1a3b9da4a9019f580bd27704d37043f875)`(size_t index) const ` | `::`[tensorflow::Output](/versions/r1.15/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_many_1ada0815fe9735c5da0a6192a13c574ee2)`(int64 x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/queue-dequeue-many/attrs#structtensorflow_1_1ops_1_1_queue_dequeue_many_1_1_attrs) |\n\n| ### Structs ||\n|------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::QueueDequeueMany::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/queue-dequeue-many/attrs) | Optional attribute setters for [QueueDequeueMany](/versions/r1.15/api_docs/cc/class/tensorflow/ops/queue-dequeue-many#classtensorflow_1_1ops_1_1_queue_dequeue_many). |\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### QueueDequeueMany\n\n```gdscript\n QueueDequeueMany(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input handle,\n ::tensorflow::Input n,\n const DataTypeSlice & component_types\n)\n``` \n\n### QueueDequeueMany\n\n```gdscript\n QueueDequeueMany(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input handle,\n ::tensorflow::Input n,\n const DataTypeSlice & component_types,\n const QueueDequeueMany::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```"]]
