class_docstr: A class to normalize specgrams for each channel.
class_docstr_tok: ["A","class","to","normalize","specgrams","for","each","channel","."]
code: def load_and_decode(self):
      m_a, m_b, p_a, p_b = self.load()
      a = np.asarray([m_a, p_a])[None, None, None, :]
      b = np.asarray([m_b, p_b])[None, None, None, :]
      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 SpecgramsSimpleNormalizer obj's underlying member method code with example usage: obj.load_and_decode() and returns: a,  b