code: def model_bytes(self):
      h = self.input_dim
      return 2 * (
          self.num_hidden_layers
          * (
              # self-attention
              h * (3 * h + 1)
              + h * (h + 1)
              +
              # mlp
              h * (4 * h + 1)
              + h * 4 * (h + 1)
              +
              # layer norm
              h * 4
          )
          +
          # embedding
          self.vocab_size * (h + 1)
      )
  
file_path: H2O/h2o_flexgen/flexgen/opt_config.py
imports: import argparse
  import dataclasses
  import glob
  import os
  import shutil
  import numpy
  from tqdm import tqdm
label_desc: Use image node_id 1 for calling the OptConfig obj's underlying member method code with example usage: obj.model_bytes() and returns: unknown