tf.raw_ops.PriorityQueue
A queue that produces elements sorted by the first component value.
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. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/PriorityQueue