{ }
View source on GitHub |
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.
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.