code: def get_initial_mlp_pool(class_or_reg):
      """Returns the initial pool of MLPs."""
      blocked_mlps = [
          nn_examples.get_blocked_mlp(class_or_reg, 3, 2),  # 6
          nn_examples.get_blocked_mlp(class_or_reg, 4, 2),  # 8
          nn_examples.get_blocked_mlp(class_or_reg, 5, 2),  # 10
          nn_examples.get_blocked_mlp(class_or_reg, 3, 4),  # 12
          nn_examples.get_blocked_mlp(class_or_reg, 6, 2),  # 12
          nn_examples.get_blocked_mlp(class_or_reg, 8, 2),  # 16
          nn_examples.get_blocked_mlp(class_or_reg, 6, 3),  # 18
          nn_examples.get_blocked_mlp(class_or_reg, 10, 2),  # 20
          nn_examples.get_blocked_mlp(class_or_reg, 4, 6),  # 24
          nn_examples.get_blocked_mlp(class_or_reg, 8, 3),  # 24
      ]
      multidepth_mlps = []
      return blocked_mlps + multidepth_mlps
  
file_path: dragonfly/dragonfly/nn/nn_opt_utils.py
imports: import numpy
  from .None import nn_examples
  from ..exd.experiment_caller import FunctionCaller
label_desc: Use image node_id 2 for calling a global function with example usage: get_initial_mlp_pool(class_or_reg) and returns: unknown