code: def build_cls_teacher_from_opts(
      opts: argparse.Namespace,
  ) -> nn.Module:
      """Helper function to build a classification teacher model from command-line arguments
  
      Args:
          opts: command-line arguments
  
      Returns:
          A teacher model
      """
      pretrained_model = getattr(
          opts, "teacher.model.classification.pretrained"
      )
  
      pytest_env = is_test_env()
      if not pytest_env and pretrained_model is None:
          logger.error(
              "For distillation, please specify teacher weights using teacher.model.classification.pretrained"
          )
      teacher_opts = extract_opts_with_prefix_replacement(
          opts, "teacher.model.", "model."
      )
  
      # build teacher model
      return get_model(teacher_opts, category="classification")
  
imports: import argparse
  from torch import nn
  from common import is_test_env
  from cvnets.models import get_model
  from options.utils import extract_opts_with_prefix_replacement
  from utils import logger
label_desc: Use image node_id 1 for calling a global function with example usage: build_cls_teacher_from_opts(opts) and returns: get_model