code: def parse_layers_string(layers_string):
      """Convert a layer size string (e.g., `128_64_32`) to a list of integers."""
      if not layers_string:
          return ()
      num_hidden = layers_string.split("_")
      num_hidden = [int(num) for num in num_hidden]
      return num_hidden
  
file_path: neural-structured-learning/research/gam/gam/experiments/helper.py
imports: from ..models.cnn import ImageCNNAgreement
  from ..models.gcn import GCN
  from ..models.mlp import MLP
  from ..models.wide_resnet import WideResnet
  import tensorflow
label_desc: Use image node_id 1 for calling a global function with example usage: parse_layers_string(layers_string) and returns: num_hidden, 