class_docstr: Defines the GlyphAzznProblem class.
class_docstr_tok: ["Defines","the","GlyphAzznProblem","class","."]
code: def feature_encoders(self, data_dir):
      del data_dir
      return {"inputs": IdentityEncoder(), "targets": IdentityEncoder()}
  
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 4 for calling the GlyphAzznProblem obj's underlying member method code with example usage: obj.feature_encoders(data_dir) and returns: dict