SYMBOL INDEX (22 symbols across 7 files)

FILE: prepare_results.py
  function prepare_plot (line 19) | def prepare_plot(df, args):
  function main (line 89) | def main(args):

FILE: run_benchmark.py
  function run_inference (line 19) | def run_inference(pipe, args):
  function main (line 27) | def main(args) -> dict:

FILE: run_benchmark_pixart.py
  function run_inference (line 19) | def run_inference(pipe, args):
  function main (line 27) | def main(args) -> dict:

FILE: run_profile.py
  function profiler_runner (line 20) | def profiler_runner(path, fn, *args, **kwargs):
  function run_inference (line 29) | def run_inference(pipe, args):
  function main (line 37) | def main(args) -> dict:

FILE: utils/benchmarking_utils.py
  function create_parser (line 32) | def create_parser(is_pixart=False):
  function flush (line 61) | def flush():
  function bytes_to_giga_bytes (line 69) | def bytes_to_giga_bytes(bytes):
  function benchmark_fn (line 73) | def benchmark_fn(f, *args, **kwargs):
  function generate_csv_dict (line 82) | def generate_csv_dict(pipeline_cls: str, args, time: float) -> Dict[str,...
  function write_to_csv (line 111) | def write_to_csv(file_name: str, data_dict: Dict[str, Union[str, bool, f...
  function collate_csv (line 125) | def collate_csv(input_files: List[str], output_file: str, is_pixart=False):

FILE: utils/pipeline_utils.py
  function dynamic_quant_filter_fn (line 15) | def dynamic_quant_filter_fn(mod, *args):
  function conv_filter_fn (line 44) | def conv_filter_fn(mod, *args):
  function load_pipeline (line 50) | def load_pipeline(

FILE: utils/pipeline_utils_pixart.py
  function dynamic_quant_filter_fn (line 12) | def dynamic_quant_filter_fn(mod, *args):
  function conv_filter_fn (line 41) | def conv_filter_fn(mod, *args):
  function load_pipeline (line 47) | def load_pipeline(