code: def get_initial_pool(nn_type):
      """Returns the initial pool from the neural network type."""
      if nn_type.startswith("cnn"):
          return get_initial_cnn_pool()
      elif nn_type.startswith("mlp"):
          return get_initial_mlp_pool(nn_type[4:])
  
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 3 for calling a global function with example usage: get_initial_pool(nn_type) and returns: get_initial_cnn_pool, get_initial_mlp_pool