code: def get_efficientdet_config(model_name="efficientdet-d1"):
      """Get the default config for EfficientDet based on model name."""
      h = default_detection_configs()
      if model_name in efficientdet_model_param_dict:
          h.override(
              efficientdet_model_param_dict[model_name],
              allow_new_keys=True,
          )
      else:
          raise ValueError("Unknown model name: {}".format(model_name))
  
      return h
  
imports: import ast
  import collections
  import copy
  from typing import Any, Dict, Text
  import six
  import tensorflow
  import yaml
label_desc: Use image node_id 3 for calling a global function with example usage: get_efficientdet_config(model_name) and returns: h