class_docstr: Step-by-step decoder with LM fusion.
class_docstr_tok: ["Step-by-step","decoder","with","LM","fusion","."]
docstr: Returns the attention probabilities after optional post processing.
  
  This is a noop for the base class. But this function can be overridden
  by a child class, e.g., when the format of probabilities change.
  Args:
    atten_probs: A Tensor of [batch, source_len] dimension with atten probs.
  Returns:
    A Tensor with processed atten_probs. The same as input in this case.
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code: def _PostProcessAttenProbsForBeamSearch(self, atten_probs):
      """Returns the attention probabilities after optional post processing.
  
      This is a noop for the base class. But this function can be overridden
      by a child class, e.g., when the format of probabilities change.
      Args:
        atten_probs: A Tensor of [batch, source_len] dimension with atten probs.
      Returns:
        A Tensor with processed atten_probs. The same as input in this case.
      """
      return atten_probs
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import math
  import lingvo.compat
  from lingvo.core import attention
  from lingvo.core import base_decoder
  from lingvo.core import base_layer
  from lingvo.core import cluster_factory
  from lingvo.core import layers
  from lingvo.core import plot
  from lingvo.core import py_utils
  from lingvo.core import recurrent
  from lingvo.core import rnn_cell
  from lingvo.core import summary_utils
  from lingvo.core import symbolic
  from lingvo.tasks.asr import contextualizer_base
  from lingvo.tasks.asr import decoder_utils
  from lingvo.tasks.asr import fusion
  from matplotlib import font_manager
  import six
  from six.moves import range
label_desc: Use image node_id 6 for calling the AsrDecoder obj's underlying member method code with example usage: obj._PostProcessAttenProbsForBeamSearch(atten_probs) and returns: atten_probs