class_docstr: CelebA at multiple resolutions.
  
  The resolutions are specified as a hyperparameter during preprocessing.
class_docstr_tok: ["CelebA","at","multiple","resolutions",".","The","resolutions","are","specified","as","a","hyperparameter","during","preprocessing","."]
code: def dataset_filename(self):
      return "image_celeba"
  
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 ImageCelebaMultiResolution obj's underlying member method code with example usage: obj.dataset_filename() and returns: str