code: def unset_model_specific_opts_after_model_building(
      opts: argparse.Namespace,
      default_opts_info: Dict[str, Any],
      *ars,
      **kwargs,
  ) -> None:
      """Given command-line arguments and a mapping of opts that needs to be unset, this function
      unsets the library-level defaults that were over-ridden previously
      in `set_model_specific_opts_before_model_building`.
      """
      assert isinstance(default_opts_info, dict), (
          f"Please ensure set_model_specific_opts_before_model_building() "
          f"returns a dict."
      )
  
      if default_opts_info:
          for k, v in default_opts_info.items():
              setattr(opts, k, v)
  
imports: import argparse
  from typing import Any, Dict, List, Mapping, Optional, Tuple
  import torch
  from torch import Tensor, nn
  from torch.utils.checkpoint import checkpoint
  from common import is_test_env
  from cvnets.layers import LinearLayer
  from cvnets.misc.init_utils import initialize_fc_layer
  from cvnets.models import MODEL_REGISTRY, BaseAnyNNModel
  from cvnets.neural_augmentor import build_neural_augmentor
  from utils import logger
label_desc: Use image node_id 2 for calling a global function with example usage: unset_model_specific_opts_after_model_building(opts, default_opts_info) without return types