SYMBOL INDEX (27 symbols across 8 files)

FILE: data_preparation/export_to_hub.py
  function parse_args (line 29) | def parse_args():
  function load_instructions (line 37) | def load_instructions(instructions_path: str) -> List[str]:
  function generate_examples (line 44) | def generate_examples(data_paths: List[str], instructions: List[str]):
  function main (line 56) | def main(args):

FILE: data_preparation/generate_dataset.py
  function parse_args (line 28) | def parse_args():
  function load_dataset (line 42) | def load_dataset(dataset_id: str, max_num_samples: int) -> tf.data.Dataset:
  function main (line 51) | def main(args):

FILE: data_preparation/image_utils.py
  function resize_crop (line 26) | def resize_crop(image: np.ndarray) -> np.ndarray:
  function download_image (line 39) | def download_image(url: str) -> np.ndarray:
  function preprocess_image (line 46) | def preprocess_image(image: np.ndarray) -> tf.Tensor:
  function postprocess_image (line 55) | def postprocess_image(image: tf.Tensor) -> Image.Image:

FILE: data_preparation/model_utils.py
  function load_model (line 33) | def load_model(model_id="sayakpaul/whitebox-cartoonizer"):
  function perform_inference (line 40) | def perform_inference(concrete_fn: Callable) -> Callable:

FILE: finetune_instruct_pix2pix.py
  function parse_args (line 68) | def parse_args():
  function get_full_repo_name (line 421) | def get_full_repo_name(
  function convert_to_np (line 433) | def convert_to_np(image, resolution):
  function download_image (line 438) | def download_image(url):
  function main (line 445) | def main():

FILE: train_instruct_pix2pix.py
  function parse_args (line 65) | def parse_args():
  function get_full_repo_name (line 366) | def get_full_repo_name(model_id: str, organization: Optional[str] = None...
  function convert_to_np (line 376) | def convert_to_np(image, resolution):
  function download_image (line 381) | def download_image(url):
  function main (line 388) | def main():

FILE: validation/compare_models.py
  function parse_args (line 37) | def parse_args():
  function load_pipeline (line 61) | def load_pipeline(model_id: str):
  function main (line 70) | def main(args):

FILE: validation/data_utils.py
  function load_dataset (line 23) | def load_dataset(dataset_id: str, max_num_samples: int) -> tf.data.Dataset: