code: def efficientnet_params(model_name):
      """Map EfficientNet model name to parameter coefficients.
  
      Args:
          model_name (str): Model name to be queried.
  
      Returns:
          params_dict[model_name]: A (width,depth,res,dropout) tuple.
      """
      params_dict = {
          # Coefficients:   width,depth,res,dropout
          "efficientnet-b0": (1.0, 1.0, 224, 0.2),
          "efficientnet-b1": (1.0, 1.1, 240, 0.2),
          "efficientnet-b2": (1.1, 1.2, 260, 0.3),
          "efficientnet-b3": (1.2, 1.4, 300, 0.3),
          "efficientnet-b4": (1.4, 1.8, 380, 0.4),
          "efficientnet-b5": (1.6, 2.2, 456, 0.4),
          "efficientnet-b6": (1.8, 2.6, 528, 0.5),
          "efficientnet-b7": (2.0, 3.1, 600, 0.5),
          "efficientnet-b8": (2.2, 3.6, 672, 0.5),
          "efficientnet-l2": (4.3, 5.3, 800, 0.5),
      }
      return params_dict[model_name]
  
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 8 for calling a global function with example usage: efficientnet_params(model_name) and returns: params_dict