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tensorflow:: ops:: QueueDequeueMany
#include <data_flow_ops.h> Desenfileira n tuplas de um ou mais tensores de uma determinada fila.
Resumo
Se a fila estiver fechada e houver menos de n elementos, um erro OutOfRange será retornado.
Esta operação concatena tensores de componente de elemento de fila ao longo da dimensão 0 para criar um tensor de componente único. Todos os componentes na 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 dada, 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 tenham sido retirados da fila (ou decorrido 'timeout_ms', se especificado).
Argumentos:
- scope: um objeto Scope
- handle: o handle para uma fila.
- n: O número de tuplas a serem desenfileiradas.
- component_types: O tipo de cada componente em uma tupla.
Atributos opcionais (consulte 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.
Devoluções:
-
OutputList : Um ou mais tensores que foram desenfileirados como uma tupla.
Funções estáticas públicas |
|---|
TimeoutMs (int64 x) | |
Atributos públicos
Funções públicas
Funções estáticas públicas
TimeoutMs
Attrs TimeoutMs(
int64 x
)
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Última atualização 2022-08-30 UTC.
[null,null,["Última atualização 2022-08-30 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```"]]
