tf.train.maybe_batch_join(tensors_list, keep_input, batch_size, capacity=32, enqueue_many=False, shapes=None, dynamic_pad=False, allow_smaller_final_batch=False, shared_name=None, name=None)
See the guide: Inputs and Readers > Input pipeline
Runs a list of tensors to conditionally fill a queue to create batches.
See docstring in batch_join
for more details.
tensors_list
: A list of tuples or dictionaries of tensors to enqueue.keep_input
: A bool
scalar Tensor. This tensor controls whether the input is added to the queue or not. If it evaluates True
, then tensors
are added to the queue; otherwise they are dropped. This tensor essentially acts as a filtering mechanism.batch_size
: An integer. The new batch size pulled from the queue.capacity
: An integer. The maximum number of elements in 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 tensor_list_list[i]
.dynamic_pad
: Boolean. Allow variable dimensions in input shapes. The given dimensions are padded upon dequeue so that tensors within a batch have the same shapes.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.A list or dictionary of tensors with the same number and types as tensors_list[i]
.
ValueError
: If the shapes
are not specified, and cannot be inferred from the elements of tensor_list_list
.Defined in tensorflow/python/training/input.py
.
© 2017 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/api_docs/python/tf/train/maybe_batch_join