code: def load_celebA_dataset(path="data"):
      """Load CelebA dataset
  
      Return a list of image path.
  
      Parameters
      -----------
      path : str
          The path that the data is downloaded to, defaults is ``data/celebA/``.
  
      """
      data_dir = "celebA"
      filename, drive_id = (
          "img_align_celeba.zip",
          "0B7EVK8r0v71pZjFTYXZWM3FlRnM",
      )
      save_path = os.path.join(path, filename)
      image_path = os.path.join(path, data_dir)
      if os.path.exists(image_path):
          logging.info("[*] {} already exists".format(save_path))
      else:
          exists_or_mkdir(path)
          download_file_from_google_drive(drive_id, save_path)
          zip_dir = ""
          with zipfile.ZipFile(save_path) as zf:
              zip_dir = zf.namelist()[0]
              zf.extractall(path)
          os.remove(save_path)
          os.rename(os.path.join(path, zip_dir), image_path)
  
      data_files = load_file_list(
          path=image_path, regx="\\.jpg", printable=False
      )
      for i, _v in enumerate(data_files):
          data_files[i] = os.path.join(image_path, data_files[i])
      return data_files
  
imports: import os
  import zipfile
  from tensorlayer import logging
  from tensorlayer.files.utils import download_file_from_google_drive, exists_or_mkdir, load_file_list
label_desc: Use image node_id 1 for calling a global function with example usage: load_celebA_dataset(path) and returns: data_files