class_docstr: Defines the GlyphAzznProblem class.
class_docstr_tok: ["Defines","the","GlyphAzznProblem","class","."]
code: def example_reading_spec(self):
      data_fields = {
          "targets_rel": tf.FixedLenFeature([51 * 10], tf.float32),
          "targets_rnd": tf.FixedLenFeature([64 * 64], tf.float32),
          "targets_sln": tf.FixedLenFeature([1], tf.int64),
          "targets_cls": tf.FixedLenFeature([1], tf.int64),
      }
  
      data_items_to_decoders = None
      return (data_fields, data_items_to_decoders)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from absl import logging
  from magenta.models.svg_vae import svg_utils
  import numpy
  from tensor2tensor.data_generators import generator_utils
  from tensor2tensor.data_generators import problem
  from tensor2tensor.layers import common_layers
  from tensor2tensor.layers import modalities
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
label_desc: Use image node_id 11 for calling the GlyphAzznProblem obj's underlying member method code with example usage: obj.example_reading_spec() and returns: data_fields,  data_items_to_decoders