class_docstr: CelebA dataset, aligned and cropped images.
class_docstr_tok: ["CelebA","dataset",",","aligned","and","cropped","images","."]
code: def hparams(self, defaults, unused_model_hparams):
      p = defaults
      p.modality = {
          "inputs": modalities.ModalityType.IDENTITY,
          "targets": modalities.ModalityType.IDENTITY,
      }
      p.vocab_size = {"inputs": 256, "targets": 256}
      p.batch_size_multiplier = 256
      p.input_space_id = 1
      p.target_space_id = 1
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import zipfile
  from tensor2tensor.data_generators import generator_utils
  from tensor2tensor.data_generators import image_utils
  from tensor2tensor.layers import modalities
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
label_desc: Use image node_id 1 for calling the ImageCeleba obj's underlying member method code with example usage: obj.hparams(defaults, unused_model_hparams) without return types