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: Resets the contents of replay buffer.
  
  Returns:
    Clears the replay buffer contents.
docstr_tok: ["Resets","the","contents","of","replay","buffer",".","Returns",":","Clears","the","replay","buffer","contents","."]
code: def clear(self):
      """Resets the contents of replay buffer.
  
      Returns:
        Clears the replay buffer contents.
      """
      return self._clear()
  
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 10 for calling the ReplayBuffer obj's underlying member method code with example usage: obj.clear() and returns: self