code: def main(
      rng: jnp.ndarray,
      config: ml_collections.ConfigDict,
      workdir: str,
      writer: metric_writers.MetricWriter,
  ):
      """Main function for the ViViT project."""
      model_cls = mtv_model.get_model_cls(config.model_name)
      data_rng, rng = jax.random.split(rng)
      dataset = train_utils.get_dataset(
          config,
          data_rng,
          dataset_service_address=FLAGS.dataset_service_address,
      )
      trainer = get_trainer(config.trainer_name)
  
      trainer(
          rng=rng,
          config=config,
          model_cls=model_cls,
          dataset=dataset,
          workdir=workdir,
          writer=writer,
      )
  
file_path: scenic/scenic/projects/mtv/main.py
imports: from typing import Any, Callable
  from absl import flags
  from clu import metric_writers
  import jax
  import jax.numpy
  import ml_collections
  from scenic import app
  from scenic.projects.mtv import model
  from scenic.projects.mtv import trainer
  from scenic.train_lib import train_utils
label_desc: Use image node_id 2 for calling a global function with example usage: main(rng, config, workdir, writer) without return types