code: def get_model_params(model_name, override_params):
      """Get the block args and global params for a given model name.
  
      Args:
          model_name (str): Model's name.
          override_params (dict): A dict to modify global_params.
  
      Returns:
          blocks_args, global_params
      """
      if model_name.startswith("efficientnet"):
          w, d, s, p = efficientnet_params(model_name)
          # note: all models have drop connect rate = 0.2
          blocks_args, global_params = efficientnet(
              width_coefficient=w,
              depth_coefficient=d,
              dropout_rate=p,
              image_size=s,
          )
      else:
          raise NotImplementedError(
              "model name is not pre-defined: {}".format(model_name)
          )
      if override_params:
          # ValueError will be raised here if override_params has fields not included in global_params.
          global_params = global_params._replace(**override_params)
      return blocks_args, global_params
  
imports: import re
  import math
  import collections
  from functools import partial
  import torch
  from torch import nn
  from torch.nn import functional
  from torch.utils import model_zoo
label_desc: Use image node_id 10 for calling a global function with example usage: get_model_params(model_name, override_params) and returns: blocks_args,  global_params