class_docstr: A data helper for Linear Spectrograms.
code: def make_specgrams_helper(self):
      final_resolutions = train_util.make_resolution_schedule(
          **self._config
      ).final_resolutions
      return SpecgramsHelper(
          audio_length=self._config["audio_length"],
          spec_shape=final_resolutions,
          overlap=0.75,
          sample_rate=self._config["sample_rate"],
          mel_downscale=1,
          ifreq=True,
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from magenta.models.gansynth.lib import datasets
  from magenta.models.gansynth.lib import train_util
  from magenta.models.gansynth.lib.specgrams_helper import SpecgramsHelper
  import tensorflow.compat.v1
label_desc: Use image node_id 1 for calling the DataSTFTHelper obj's underlying member method code with example usage: obj.make_specgrams_helper() and returns: SpecgramsHelper