An integer. The maximum number of elements in the queue.
min_after_dequeue
Minimum number elements in the queue after a
dequeue, used to ensure a level of mixing of elements.
keep_input
A bool Tensor. This tensor controls whether the input is
added to the queue or not. If it is a scalar and evaluates True, then
tensors are all added to the queue. If it is a vector and enqueue_many
is True, then each example is added to the queue only if the
corresponding value in keep_input is True. This tensor essentially
acts as a filtering mechanism.
num_threads
The number of threads enqueuing tensor_list.
seed
Seed for the random shuffling within the queue.
enqueue_many
Whether each tensor in tensor_list is a single example.
shapes
(Optional) The shapes for each example. Defaults to the
inferred shapes for tensor_list.
allow_smaller_final_batch
(Optional) Boolean. If True, allow the final
batch to be smaller if there are insufficient items left in the queue.
shared_name
(Optional) If set, this queue will be shared under the given
name across multiple sessions.
name
(Optional) A name for the operations.
Returns
A list or dictionary of tensors with the types as tensors.
Raises
ValueError
If the shapes are not specified, and cannot be
inferred from the elements of tensors.
eager compatibility
Input pipelines based on Queues are not supported when eager execution is
enabled. Please use the tf.data API to ingest data under eager execution.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-10-06 UTC."],[],[]]