tensorflow::ops::PriorityQueue

#include <data_flow_ops.h>

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 (see Attrs):

• 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.

Public attributes

::tensorflow::Output handle

Public functions

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

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

::tensorflow::Node * node() const 

operator::tensorflow::Input() const 

operator::tensorflow::Output() const 

Public static functions

Attrs Capacity(
  int64 x
)

Attrs ComponentTypes(
  const DataTypeSlice & x
)

Attrs Container(
  StringPiece x
)

Attrs SharedName(
  StringPiece x
)