class_docstr: A class to normalize specgrams for each channel.
class_docstr_tok: ["A","class","to","normalize","specgrams","for","each","channel","."]
code: def compute(self, data_np):
      m_a, m_b = _range_normalizer(data_np[:, :, :, 0], self._margin)
      p_a, p_b = _range_normalizer(data_np[:, :, :, 1], self._margin)
      return np.asarray([m_a, m_b, p_a, p_b])
  
imports: import io
  import os
  from absl import logging
  import numpy
  import tensorflow.compat.v1
label_desc: Use image node_id 2 for calling the SpecgramsSimpleNormalizer obj's underlying member method code with example usage: obj.compute(data_np) and returns: np