class_docstr: Dataset object to help manage the TFRecord loading.
code: def __init__(self, tfrecord_path, is_training=True):
      self.is_training = is_training
      self.record_path = tfrecord_path
  
file_path: magenta/magenta/models/nsynth/reader.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from magenta.models.nsynth import utils
  import numpy
  import tensorflow.compat.v1
label_desc: Use image node_id 1 to create a new NSynthDataset object from inherited base classes: object with example: obj = NSynthDataset(tfrecord_path, is_training)