code: def get_trainer(trainer_name: str) -> Any:
      """Gets the trainer matching the given name."""
      if trainer_name == "classification_trainer":
          return classification_trainer.train
      elif trainer_name == "transfer_trainer":
          return transfer_trainer.train
      elif trainer_name == "inference":
          return inference.evaluate
      else:
          return trainers.get_trainer(trainer_name)
  
file_path: scenic/scenic/projects/svvit/main.py
imports: from typing import Any
  from absl import flags
  from clu import metric_writers
  import jax
  import jax.numpy
  import ml_collections
  from scenic import app
  from scenic.projects.svvit import classification_trainer
  from scenic.projects.svvit import inference
  from scenic.projects.svvit import transfer_trainer
  from scenic.projects.svvit import vit
  from scenic.projects.svvit import xvit
  from scenic.projects.svvit.datasets import pileup_coverage_dataset
  from scenic.projects.svvit.datasets import pileup_window_dataset
  from scenic.train_lib import train_utils
  from scenic.train_lib import trainers
label_desc: Use image node_id 2 for calling a global function with example usage: get_trainer(trainer_name) and returns: classification_trainer, transfer_trainer, inference, trainers