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.
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docstr: Returns all the items in buffer.
  
  Returns:
    Returns all the items currently in the buffer. Returns a tensor
    of shape [B, T, ...] where B = batch size, T = timesteps,
    and the remaining shape is the shape spec of the items in the buffer.
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code: def gather_all(self):
      """Returns all the items in buffer.
  
      Returns:
        Returns all the items currently in the buffer. Returns a tensor
        of shape [B, T, ...] where B = batch size, T = timesteps,
        and the remaining shape is the shape spec of the items in the buffer.
      """
      return self._gather_all()
  
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 9 for calling the ReplayBuffer obj's underlying member method code with example usage: obj.gather_all() and returns: self