tf.compat.v1.train.maybe_shuffle_batch_join

Create batches by randomly shuffling conditionally-enqueued tensors. (deprecated)

tf.compat.v1.train.maybe_shuffle_batch_join(
    tensors_list,
    batch_size,
    capacity,
    min_after_dequeue,
    keep_input,
    seed=None,
    enqueue_many=False,
    shapes=None,
    allow_smaller_final_batch=False,
    shared_name=None,
    name=None
)

See docstring in shuffle_batch_join for more details.

Args
`tensors_list`	A list of tuples or dictionaries of tensors to enqueue.
`batch_size`	An integer. The new batch size pulled from the queue.
`capacity`	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.
`seed`	Seed for the random shuffling within the queue.
`enqueue_many`	Whether each tensor in `tensor_list_list` is a single example.
`shapes`	(Optional) The shapes for each example. Defaults to the inferred shapes for `tensors_list[i]`.
`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 same number and types as `tensors_list[i]`.

Raises
`ValueError`	If the `shapes` are not specified, and cannot be inferred from the elements of `tensors_list`.

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.

© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/compat/v1/train/maybe_shuffle_batch_join

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tf.compat.v1.train.maybe_shuffle_batch_join

eager compatibility