code: def efficientnet(
      width_coefficient=None,
      depth_coefficient=None,
      image_size=None,
      dropout_rate=0.2,
      drop_connect_rate=0.2,
      num_classes=1000,
      include_top=True,
  ):
      """Create BlockArgs and GlobalParams for efficientnet model.
  
      Args:
          width_coefficient (float)
          depth_coefficient (float)
          image_size (int)
          dropout_rate (float)
          drop_connect_rate (float)
          num_classes (int)
  
          Meaning as the name suggests.
  
      Returns:
          blocks_args, global_params.
      """
  
      # Blocks args for the whole model(efficientnet-b0 by default)
      # It will be modified in the construction of EfficientNet Class according to model
      blocks_args = [
          "r1_k3_s11_e1_i32_o16_se0.25",
          "r2_k3_s22_e6_i16_o24_se0.25",
          "r2_k5_s22_e6_i24_o40_se0.25",
          "r3_k3_s22_e6_i40_o80_se0.25",
          "r3_k5_s11_e6_i80_o112_se0.25",
          "r4_k5_s22_e6_i112_o192_se0.25",
          "r1_k3_s11_e6_i192_o320_se0.25",
      ]
      blocks_args = BlockDecoder.decode(blocks_args)
  
      global_params = GlobalParams(
          width_coefficient=width_coefficient,
          depth_coefficient=depth_coefficient,
          image_size=image_size,
          dropout_rate=dropout_rate,
          num_classes=num_classes,
          batch_norm_momentum=0.99,
          batch_norm_epsilon=1e-3,
          drop_connect_rate=drop_connect_rate,
          depth_divisor=8,
          min_depth=None,
          include_top=include_top,
      )
  
      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 9 for calling a global function with example usage: efficientnet(width_coefficient, depth_coefficient, image_size, dropout_rate, drop_connect_rate, num_classes, include_top) and returns: blocks_args,  global_params