code: def realize_meta_module(module, dtype=None, device=None):
      for name, child in module.named_children():
          realize_meta_module(child, dtype, device)
  
      keys = list(module._parameters.keys())
      for k in keys:
          v = module._parameters[k]
          if v is not None:
              module._parameters[k] = torch.nn.Parameter(
                  torch.empty(
                      *v.shape,
                      dtype=dtype or v.dtype,
                      device=device or v.device,
                  )
              )
  
      keys = list(module._buffers.keys())
      for k in keys:
          v = module._buffers[k]
          assert v is None
  
file_path: H2O/h2o_flexgen/benchmark/hf_ds/hf_opt.py
imports: import argparse
  import multiprocessing
  import os
  import pickle
  import time
  import numpy
  from accelerate import infer_auto_device_map, init_empty_weights, load_checkpoint_and_dispatch
  from transformers import AutoTokenizer, AutoConfig, AutoModelForCausalLM
  from transformers import OPTForCausalLM
  import torch
  from flexgen.timer import timers
  from flexgen.utils import GB, project_decode_latency, write_benchmark_log
  from flexgen.opt_config import get_opt_config, disable_torch_init, disable_hf_opt_init
label_desc: Use image node_id 3 for calling a global function with example usage: realize_meta_module(module, dtype, device) without return types