class_docstr: Abstract base class for TF-Agents replay buffer.
  
  In eager mode, methods modify the buffer or return values directly. In graph
  mode, methods return ops that do so when executed.
class_docstr_tok: ["Abstract","base","class","for","TF-Agents","replay","buffer",".","In","eager","mode",",","methods","modify","the","buffer","or","return","values","directly",".","In","graph","mode",",","methods","return","ops","that","do","so","when","executed","."]
docstr: Returns an item or batch of items from the buffer.
docstr_tok: ["Returns","an","item","or","batch","of","items","from","the","buffer","."]
code: def _get_next(self, sample_batch_size, num_steps, time_stacked):
      """Returns an item or batch of items from the buffer."""
      raise NotImplementedError
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import abc
  import tensorflow
  from tf_agents.utils import common
  from tensorflow.python.data.util import nest
  from tensorflow.python.util import deprecation
label_desc: Use image node_id 13 for calling the ReplayBuffer obj's underlying member method code with example usage: obj._get_next(sample_batch_size, num_steps, time_stacked) without return types