code: def run_inference(pipe, args):
      _ = pipe(
          prompt=args.prompt,
          num_inference_steps=args.num_inference_steps,
          num_images_per_prompt=args.batch_size,
      )
  
imports: import torch
  import sys
  from utils.benchmarking_utils import benchmark_fn, bytes_to_giga_bytes, create_parser, generate_csv_dict, write_to_csv
  from utils.pipeline_utils import load_pipeline
label_desc: Use image node_id 1 for calling a global function with example usage: run_inference(pipe, args) without return types