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enuSpace-tensorflow Manual

PriorityQueue

tensorflow C++ API

tensorflow::ops::PriorityQueue

A queue that produces elements sorted by the first component value.

Summary

Note that the PriorityQueue requires the first component of any element to be a scalar int64, in addition to the other elements declared by component_types. Therefore calls to Enqueue and EnqueueMany (resp. Dequeue and DequeueMany) on a PriorityQueue will all require (resp. output) one extra entry in their input (resp. output) lists..

Arguments:

  • scope: A Scope object
  • 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. If the length of this attr is 0, the shapes of queue elements are not constrained, and only one element may be dequeued at a time.

Optional attributes (seeAttrs):

  • component_types: The type of each component in a value.
  • capacity: The upper bound on the number of elements in this queue. Negative numbers mean no limit.
  • container: If non-empty, this queue is placed in the given container. Otherwise, a default container is used.
  • shared_name: If non-empty, this queue will be shared under the given name across multiple sessions.

Returns:

  • Output : The handle to the queue.

Constructor

  • PriorityQueue(const ::tensorflow::Scope & scope, const gtl::ArraySlice< PartialTensorShape > & shapes,const PriorityQueue::Attrs & attrs).

Public attributes

  • tensorflow::Output handle.

PriorityQueue 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.)
  • shapes: Input tensor shapes.

PriorityQueue ::Attrs attrs : input attrs data. ex) component_types_ = DT_INT32; capacity = -1;_container = ; shared_name = ;

Return:

  • Output handle: Output object of PriorityQueue class object.

Result:

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

Using Method