code: def dump_config(f, config, ggml_type):
      invalidInputError(
          config.position_encoding_2d,
          "unimplemented: position_encoding_2d should be True",
      )
      invalidInputError(
          (config.inner_hidden_size == 4 * config.hidden_size),
          "unimplemented: inner_hidden_size should be 4 times hidden_size",
      )
      config_values = [
          ggml_type.value,
          config.vocab_size,
          config.hidden_size,
          config.num_attention_heads,
          config.num_layers,
          config.inner_hidden_size,
          config.max_sequence_length,
          config.bos_token_id
          if config.bos_token_id is not None
          else -1,
          config.eos_token_id
          if config.eos_token_id is not None
          else -1,
          config.pad_token_id
          if config.pad_token_id is not None
          else -1,
          config.sep_token_id
          if config.sep_token_id is not None
          else -1,
      ]
      f.write(struct.pack("i" * len(config_values), *config_values))
  
imports: import argparse
  import platform
  import struct
  import sys
  from enum import Enum
  from pathlib import Path
  import torch
  from tabulate import tabulate
  from tqdm import tqdm
  from transformers import AutoModel, AutoTokenizer
  from bigdl.llm.utils.common import invalidInputError
label_desc: Use image node_id 1 for calling the ChatGLMConverter obj's underlying member method code with example usage: obj.dump_config(f, config, ggml_type) without return types