code: def get_filename(
      model_name,
      batch_size,
      prompt_len,
      gen_len,
      cpu_offload,
      disk_offload,
      num_nodes,
      num_gpus_per_node,
      use_deepspeed,
  ):
      modelsize = model_name.split("-")[-1]
      if use_deepspeed:
          filename = "ds-"
      else:
          filename = "hf-"
      filename += (
          f"{modelsize}-bs{batch_size}-prompt{prompt_len}-gen{gen_len}-"
      )
      filename += f"n{num_nodes}x{num_gpus_per_node}-"
      if cpu_offload:
          filename += "cpu"
      elif disk_offload:
          filename += "disk"
      else:
          filename += "gpu"
      return filename
  
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 1 for calling a global function with example usage: get_filename(model_name, batch_size, prompt_len, gen_len, cpu_offload, disk_offload, num_nodes, num_gpus_per_node, use_deepspeed) and returns: filename