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tf.compat.v1.train.maybe_batch
Conditionally creates batches of tensors based on keep_input. (deprecated)
tf.compat.v1.train.maybe_batch(
    tensors, keep_input, batch_size, num_threads=1, capacity=32, enqueue_many=False,
    shapes=None, dynamic_pad=False, allow_smaller_final_batch=False,
    shared_name=None, name=None
)
  
  See docstring in batch for more details.
| Args | |
|---|---|
tensors | 
      The list or dictionary of tensors to enqueue. | 
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. | 
     
batch_size | 
      The new batch size pulled from the queue. | 
num_threads | 
      The number of threads enqueuing tensors. The batching will be nondeterministic if num_threads > 1. | 
     
capacity | 
      An integer. The maximum number of elements in the queue. | 
enqueue_many | 
      Whether each tensor in tensors is a single example. | 
     
shapes | 
      (Optional) The shapes for each example. Defaults to the inferred shapes for tensors. | 
     
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. | 
| Returns | |
|---|---|
A list or dictionary of tensors with the same types as tensors. | 
     
| Raises | |
|---|---|
ValueError | 
      If the shapes are not specified, and cannot be inferred from the elements of tensors. | 
     
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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_batch