Mantenha tudo organizado com as coleções
Salve e categorize o conteúdo com base nas suas preferências.
fluxo tensor:: ops:: QueueDequeueMany
#include <data_flow_ops.h> Remove n tuplas da fila de um ou mais tensores da fila fornecida.
Resumo
Se a fila estiver fechada e houver menos de n elementos, um erro OutOfRange será retornado.
Esta operação concatena tensores de componentes de elementos de fila ao longo da 0ª dimensão para formar um tensor de componente único. Todos os componentes da tupla desenfileirada terão tamanho n na 0ª dimensão.
Esta operação tem k saídas, onde k é o número de componentes nas tuplas armazenadas na fila fornecida, e a saída i é o i-ésimo componente da tupla desenfileirada.
NB: Se a fila estiver vazia, esta operação será bloqueada até que n elementos sejam retirados da fila (ou 'timeout_ms' decorra, se especificado).
Argumentos:
- escopo: um objeto Escopo
- handle: O identificador de uma fila.
- n: O número de tuplas a serem retiradas da fila.
- component_types: o tipo de cada componente em uma tupla.
Atributos opcionais (veja Attrs ):
- timeout_ms: Se a fila tiver menos de n elementos, esta operação será bloqueada por até timeout_ms milissegundos. Nota: Esta opção ainda não é suportada.
Retorna:
-
OutputList : um ou mais tensores que foram retirados da fila como uma tupla.
Funções estáticas públicas |
|---|
TimeoutMs (int64 x) | |
Atributos públicos
Funções públicas
Funções estáticas públicas
Tempo limiteMs
Attrs TimeoutMs(
int64 x
)
Exceto em caso de indicação contrária, o conteúdo desta página é licenciado de acordo com a Licença de atribuição 4.0 do Creative Commons, e as amostras de código são licenciadas de acordo com a Licença Apache 2.0. Para mais detalhes, consulte as políticas do site do Google Developers. Java é uma marca registrada da Oracle e/ou afiliadas.
Última atualização 2025-07-25 UTC.
[null,null,["Última atualização 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```"]]
