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enuSpace-tensorflow Manual

QueueDequeue

tensorflow C++ API

tensorflow::ops::QueueDequeue

Dequeues a tuple of one or more tensors from the given queue.

Summary

This 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.B. If the queue is empty, this operation will block until an element has been dequeued (or ‘timeout_ms’ elapses, if specified).

Arguments:

  • scope: A Scope object
  • handle: The handle to a queue.
  • component_types: The type of each component in a tuple.

Optional attributes (seeAttrs):

  • timeout_ms: If the queue is empty, this operation will block for up to timeout_ms milliseconds. Note: This option is not supported yet.

Returns:

  • OutputList : One or more tensors that were dequeued as a tuple.

Constructor

  • QueueDequeue(const ::tensorflow::Scope & scope, ::tensorflow::Input handle, const DataTypeSlice & component_types, const QueueDequeue::Attrs & attrs) .

Public attributes

  • tensorflow::OutputList components.

QueueDequeue block

Source link : https://github.com/EXPNUNI/enuSpace-Tensorflow/blob/master/enuSpaceTensorflow/tf_data_flow_ops.cpp

Argument:

  • Scope scope : A Scope object (A scope is generated automatically each page. A scope is not connected.)
  • handle : connect Input node.
  • component_types : Input DataType list accordance with each Queued data.
  • QueueDequeue ::Attrs attrs : input attrs data. ex) timeout_ms= -1;

Return:

  • OutputList components: Output object of QueueDequeue class object.

Result:

  • std::vector(Tensor) product_result : Returned object of executed result by calling session.

Using Method