class_docstr: A class that uses prespecified normalization data.
class_docstr_tok: ["A","class","that","uses","prespecified","normalization","data","."]
code: def __init__(self, config):
      m_a = config["mag_normalizer_a"]
      m_b = config["mag_normalizer_b"]
      p_a = config["p_normalizer_a"]
      p_b = config["p_normalizer_b"]
      self._a = np.asarray([m_a, p_a])[None, None, None, :]
      self._b = np.asarray([m_b, p_b])[None, None, None, :]
  
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 SpecgramsPrespecifiedNormalizer object from inherited base classes: object with example: obj = SpecgramsPrespecifiedNormalizer(config)