code: def dump_config(f, config, ggml_type):
      invalidInputError(
          config.add_bias_linear is False,
          "unimplemented: add_bias_linear must be false",
      )
      invalidInputError(
          config.add_qkv_bias is True,
          "unimplemented: add_qkv_bias must be true",
      )
      invalidInputError(
          (config.apply_residual_connection_post_layernorm is False),
          "unimplemented: apply_residual_connection_post_layernorm must be false",
      )
      invalidInputError(
          (
              config.kv_channels * config.num_attention_heads
              == config.hidden_size
          ),
          "unimplemented: invalid kv_channels",
      )
      invalidInputError(
          config.multi_query_attention is True,
          "unimplemented: multi_query_attention must be true",
      )
      invalidInputError(
          config.original_rope is True,
          "unimplemented: original_rope must be true",
      )
      invalidInputError(
          config.post_layer_norm is True,
          "unimplemented: post_layer_norm must be true",
      )
      invalidInputError(
          config.rmsnorm is True, "unimplemented: rmsnorm must be true"
      )
  
      config_values = [
          ggml_type.value,
          config.padded_vocab_size,
          config.hidden_size,
          config.num_attention_heads,
          config.num_layers,
          config.ffn_hidden_size,
          config.seq_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,
          config.multi_query_group_num,
      ]
  
      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 ChatGLM2Converter obj's underlying member method code with example usage: obj.dump_config(f, config, ggml_type) without return types