tf.raw_ops.PriorityQueue | TensorFlow v2.16.1 (original) (raw)

tf.raw_ops.PriorityQueue

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

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Compat aliases for migration

tf.compat.v1.raw_ops.PriorityQueue

tf.raw_ops.PriorityQueue(
    shapes,
    component_types=[],
    capacity=-1,
    container='',
    shared_name='',
    name=None
)

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.

Args
shapes	A list of shapes (each a tf.TensorShape or list of ints). 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.
component_types	An optional list of tf.DTypes. Defaults to []. The type of each component in a value.
capacity	An optional int. Defaults to -1. The upper bound on the number of elements in this queue. Negative numbers mean no limit.
container	An optional string. Defaults to "". If non-empty, this queue is placed in the given container. Otherwise, a default container is used.
shared_name	An optional string. Defaults to "". If non-empty, this queue will be shared under the given name across multiple sessions.
name	A name for the operation (optional).

Returns
A Tensor of type mutable string.

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Last updated 2024-04-26 UTC.