class_docstr: A class to normalize specgrams for each freq bin, channel.
class_docstr_tok: ["A","class","to","normalize","specgrams","for","each","freq","bin",",","channel","."]
code: def load_and_decode(self):
      normalizer = self.load()
      m_a = normalizer[:, 0][None, None, :, None]
      m_b = normalizer[:, 1][None, None, :, None]
      p_a = normalizer[:, 2][None, None, :, None]
      p_b = normalizer[:, 3][None, None, :, None]
      a = np.concatenate([m_a, p_a], axis=-1)
      b = np.concatenate([m_b, p_b], axis=-1)
      return a, b
  
imports: import io
  import os
  from absl import logging
  import numpy
  import tensorflow.compat.v1
label_desc: Use image node_id 3 for calling the SpecgramsFreqNormalizer obj's underlying member method code with example usage: obj.load_and_decode() and returns: a,  b