code: def train(args: Namespace):
      """Train an anomaly model.
  
      Args:
          args (Namespace): The arguments from the command line.
      """
  
      configure_logger(level=args.log_level)
  
      if args.log_level == "ERROR":
          warnings.filterwarnings("ignore")
  
      config = get_configurable_parameters(
          model_name=args.model, config_path=args.config
      )
      if config.project.get("seed") is not None:
          seed_everything(config.project.seed)
  
      datamodule = get_datamodule(config)
      model = get_model(config)
      experiment_logger = get_experiment_logger(config)
      callbacks = get_callbacks(config)
  
      trainer = Trainer(
          **config.trainer,
          logger=experiment_logger,
          callbacks=callbacks,
      )
      logger.info("Training the model.")
      trainer.fit(model=model, datamodule=datamodule)
  
      logger.info("Loading the best model weights.")
      load_model_callback = LoadModelCallback(
          weights_path=trainer.checkpoint_callback.best_model_path
      )
      trainer.callbacks.insert(
          0, load_model_callback
      )  # pylint: disable=no-member
  
      if config.dataset.test_split_mode == TestSplitMode.NONE:
          logger.info("No test set provided. Skipping test stage.")
      else:
          logger.info("Testing the model.")
          trainer.test(model=model, datamodule=datamodule)
  
file_path: anomalib/tools/train.py
imports: import logging
  import warnings
  from argparse import ArgumentParser, Namespace
  from pytorch_lightning import Trainer, seed_everything
  from anomalib.config import get_configurable_parameters
  from anomalib.data import get_datamodule
  from anomalib.data.utils import TestSplitMode
  from anomalib.models import get_model
  from anomalib.utils.callbacks import LoadModelCallback, get_callbacks
  from anomalib.utils.loggers import configure_logger, get_experiment_logger
label_desc: Use image node_id 2 for calling a global function with example usage: train(args) without return types