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aliran tensor:: operasi:: PaddingFIFOQueue
#include <data_flow_ops.h> Antrian yang menghasilkan elemen dengan urutan masuk pertama keluar pertama.
Ringkasan
Bentuk berukuran variabel diperbolehkan dengan mengatur dimensi bentuk yang sesuai ke 0 di attr bentuk. Dalam hal ini DequeueMany akan menambah ukuran maksimum elemen tertentu di minibatch. Lihat di bawah untuk detailnya.
Argumen:
- ruang lingkup: Objek Lingkup
- komponen_tipe: Jenis setiap komponen dalam suatu nilai.
Atribut opsional (lihat Attrs ):
- bentuk : Bentuk setiap komponen dalam suatu nilai. Panjang attr ini harus 0 atau sama dengan panjang tipe_komponen. Bentuk dengan peringkat tetap tetapi ukuran bervariasi diperbolehkan dengan mengatur dimensi bentuk apa pun ke -1. Dalam hal ini, bentuk input dapat bervariasi sepanjang dimensi tertentu, dan DequeueMany akan mengisi dimensi tertentu dengan nol hingga bentuk maksimum semua elemen dalam kumpulan tertentu. Jika panjang attr ini adalah 0, elemen antrian yang berbeda mungkin memiliki peringkat dan bentuk yang berbeda, namun hanya satu elemen yang dapat di-dequeue pada satu waktu.
- kapasitas: Batas atas jumlah elemen dalam antrian ini. Angka negatif berarti tidak ada batasnya.
- container: Jika tidak kosong, antrian ini ditempatkan di container yang diberikan. Jika tidak, wadah default akan digunakan.
- shared_name: Jika tidak kosong, antrean ini akan dibagikan dengan nama yang diberikan ke beberapa sesi.
Pengembalian:
Atribut publik
Fungsi publik
PaddingFIFOQueue
PaddingFIFOQueue(
const ::tensorflow::Scope & scope,
const DataTypeSlice & component_types
)
simpul
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Keluaran
operator::tensorflow::Output() const
Fungsi statis publik
Kapasitas
Attrs Capacity(
int64 x
)
Wadah
Attrs Container(
StringPiece x
)
Bentuk
Attrs Shapes(
const gtl::ArraySlice< PartialTensorShape > & x
)
Nama Bersama
Attrs SharedName(
StringPiece 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 2025-07-27 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-27 UTC."],[],[],null,["# tensorflow::ops::PaddingFIFOQueue Class Reference\n\ntensorflow::ops::PaddingFIFOQueue\n=================================\n\n`#include \u003cdata_flow_ops.h\u003e`\n\nA queue that produces elements in first-in first-out order.\n\nSummary\n-------\n\nVariable-size shapes are allowed by setting the corresponding shape dimensions to 0 in the shape attr. In this case DequeueMany will pad up to the maximum size of any given element in the minibatch. See below for details.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.3/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/r2.3/api_docs/cc/struct/tensorflow/ops/padding-f-i-f-o-queue/attrs#structtensorflow_1_1ops_1_1_padding_f_i_f_o_queue_1_1_attrs)):\n\n- shapes: The shape of each component in a value. The length of this attr must be either 0 or the same as the length of component_types. Shapes of fixed rank but variable size are allowed by setting any shape dimension to -1. In this case, the inputs' shape may vary along the given dimension, and DequeueMany will pad the given dimension with zeros up to the maximum shape of all elements in the given batch. If the length of this attr is 0, different queue elements may have different ranks and shapes, but only one element may be dequeued at a time.\n- capacity: The upper bound on the number of elements in this queue. Negative numbers mean no limit.\n- container: If non-empty, this queue is placed in the given container. Otherwise, a default container is used.\n- shared_name: If non-empty, this queue will be shared under the given name across multiple sessions.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The handle to the queue.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [PaddingFIFOQueue](#classtensorflow_1_1ops_1_1_padding_f_i_f_o_queue_1ab818a0fb5c04118f9fb6a16f8d014bbf)`(const ::`[tensorflow::Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, const DataTypeSlice & component_types)` ||\n| [PaddingFIFOQueue](#classtensorflow_1_1ops_1_1_padding_f_i_f_o_queue_1a6d7f8309f142ac9ffe7ec1de8a99e11e)`(const ::`[tensorflow::Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, const DataTypeSlice & component_types, const `[PaddingFIFOQueue::Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/padding-f-i-f-o-queue/attrs#structtensorflow_1_1ops_1_1_padding_f_i_f_o_queue_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|---------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [handle](#classtensorflow_1_1ops_1_1_padding_f_i_f_o_queue_1a39eb929611f708215faf1b5be357152e) | `::`[tensorflow::Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [operation](#classtensorflow_1_1ops_1_1_padding_f_i_f_o_queue_1a73da6dae81f48ea4ac530b3cc265391e) | [Operation](/versions/r2.3/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n\n| ### Public functions ||\n|---------------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_padding_f_i_f_o_queue_1a60fdcd5f1e0d321510d5f1924e5ebb98)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_padding_f_i_f_o_queue_1a87a368787c970ea80238b0b277d4a1bc)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_padding_f_i_f_o_queue_1a24634a5ec26c56d5bf58e40e5f30ec00)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|---------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------|\n| [Capacity](#classtensorflow_1_1ops_1_1_padding_f_i_f_o_queue_1ae1fa5194a675ccd0aac3d90adb2a5d7e)`(int64 x)` | [Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/padding-f-i-f-o-queue/attrs#structtensorflow_1_1ops_1_1_padding_f_i_f_o_queue_1_1_attrs) |\n| [Container](#classtensorflow_1_1ops_1_1_padding_f_i_f_o_queue_1a4d0859f5e43500c22a24ccf99f0b8ac8)`(StringPiece x)` | [Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/padding-f-i-f-o-queue/attrs#structtensorflow_1_1ops_1_1_padding_f_i_f_o_queue_1_1_attrs) |\n| [Shapes](#classtensorflow_1_1ops_1_1_padding_f_i_f_o_queue_1a29f0f0ce152db5f4517d7355650f6d2d)`(const gtl::ArraySlice\u003c PartialTensorShape \u003e & x)` | [Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/padding-f-i-f-o-queue/attrs#structtensorflow_1_1ops_1_1_padding_f_i_f_o_queue_1_1_attrs) |\n| [SharedName](#classtensorflow_1_1ops_1_1_padding_f_i_f_o_queue_1a182e79127160fbc1a6af358ebd5bf0c7)`(StringPiece x)` | [Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/padding-f-i-f-o-queue/attrs#structtensorflow_1_1ops_1_1_padding_f_i_f_o_queue_1_1_attrs) |\n\n| ### Structs ||\n|--------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::PaddingFIFOQueue::Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/padding-f-i-f-o-queue/attrs) | Optional attribute setters for [PaddingFIFOQueue](/versions/r2.3/api_docs/cc/class/tensorflow/ops/padding-f-i-f-o-queue#classtensorflow_1_1ops_1_1_padding_f_i_f_o_queue). |\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### PaddingFIFOQueue\n\n```gdscript\n PaddingFIFOQueue(\n const ::tensorflow::Scope & scope,\n const DataTypeSlice & component_types\n)\n``` \n\n### PaddingFIFOQueue\n\n```gdscript\n PaddingFIFOQueue(\n const ::tensorflow::Scope & scope,\n const DataTypeSlice & component_types,\n const PaddingFIFOQueue::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```"]]
