tf.compat.v1.train.maybe

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

tf.compat.v1.train.maybe_shuffle_batch(
    tensors, batch_size, capacity, min_after_dequeue, keep_input, num_threads=1,
    seed=None, enqueue_many=False, shapes=None, allow_smaller_final_batch=False,
    shared_name=None, name=None
)

See docstring in shuffle_batch for more details.

Args
`tensors`	The list or dictionary of tensors to enqueue.
`batch_size`	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.
`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.

TensorFlow

tf.compat / v1 / v1.train.maybe_batch

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Eager Compatibility

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tf.compat / v1 / v1.train.maybe_batch

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Eager Compatibility