class_docstr: A class to normalize specgrams for each channel.
class_docstr_tok: ["A","class","to","normalize","specgrams","for","each","channel","."]
code: def __init__(self, config):
      super(SpecgramsSimpleNormalizer, self).__init__(
          config, "specgrams_simple_normalizer.npz"
      )
  
imports: import io
  import os
  from absl import logging
  import numpy
  import tensorflow.compat.v1
label_desc: Use image node_id 1 to create a new SpecgramsSimpleNormalizer object from inherited base classes: DataNormalizer with example: obj = SpecgramsSimpleNormalizer(config)