Dequeues `n`

tuples of one or more tensors from the given queue.

tf.raw_ops.QueueDequeueUpToV2( handle, n, component_types, timeout_ms=-1, name=None )

This operation is not supported by all queues. If a queue does not support DequeueUpTo, then an Unimplemented error is returned.

If the queue is closed and there are more than 0 but less than `n`

elements remaining, then instead of returning an OutOfRange error like QueueDequeueMany, less than `n`

elements are returned immediately. If the queue is closed and there are 0 elements left in the queue, then an OutOfRange error is returned just like in QueueDequeueMany. Otherwise the behavior is identical to QueueDequeueMany:

This operation concatenates queue-element component tensors along the 0th dimension to make a single component tensor. All of the components in the dequeued tuple will have size n in the 0th dimension.

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.

Args | |
---|---|

`handle` | A `Tensor` of type `resource` . The handle to a queue. |

`n` | A `Tensor` of type `int32` . The number of tuples to dequeue. |

`component_types` | A list of `tf.DTypes` that has length `>= 1` . The type of each component in a tuple. |

`timeout_ms` | An optional `int` . Defaults to `-1` . If the queue has fewer than n elements, this operation will block for up to timeout_ms milliseconds. Note: This option is not supported yet. |

`name` | A name for the operation (optional). |

Returns | |
---|---|

A list of `Tensor` objects of type `component_types` . |

© 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/r2.4/api_docs/python/tf/raw_ops/QueueDequeueUpToV2