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.
© 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/compat/v1/train/maybe_shuffle_batch_join