class_docstr: BuilderConfig for CycleGAN.
class_docstr_tok: ["BuilderConfig","for","CycleGAN","."]
docstr: Constructs a CycleGANConfig.
  
  Args:
    data: `str`, one of `_DATA_OPTIONS`.
    **kwargs: keyword arguments forwarded to super.
docstr_tok: ["Constructs","a","CycleGANConfig",".","Args",":","data",":","`","str","`",",","one","of","`","_DATA_OPTIONS","`",".","*","*","kwargs",":","keyword","arguments","forwarded","to","super","."]
code: def __init__(self, *, data=None, **kwargs):
      """Constructs a CycleGANConfig.
  
      Args:
        data: `str`, one of `_DATA_OPTIONS`.
        **kwargs: keyword arguments forwarded to super.
      """
      if data not in _DATA_OPTIONS:
          raise ValueError("data must be one of %s" % _DATA_OPTIONS)
  
      super(CycleGANConfig, self).__init__(**kwargs)
      self.data = data
  
file_path: datasets/tensorflow_datasets/image_classification/cycle_gan.py
imports: import os
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 to create a new CycleGANConfig object from inherited base classes: tfds.core with example: obj = CycleGANConfig()