code: def get_model_cls(model_name):
      if model_name == "resnet":
          return ncr_resnet.ResNetNCRModel
      else:
          raise ValueError(f"Unknown model {model_name}")
  
file_path: scenic/scenic/projects/ncr/main.py
imports: import pdb
  from absl import flags
  import chex
  from clu import metric_writers
  import jax
  import jax.numpy
  import ml_collections
  from scenic import app
  from scenic.projects.ncr import classification_trainer
  from scenic.projects.ncr import resnet
  from scenic.train_lib import train_utils
label_desc: Use image node_id 1 for calling a global function with example usage: get_model_cls(model_name) and returns: ncr_resnet