code: def save_debug_image(
      image_path,
      data_debug_path,
      data_debug_counter,
      rank,
      img_idx=0,
      base64=False,
  ):
      if (
          data_debug_path is not None
          and data_debug_counter < NUM_DEBUG_SAMPLE
      ):
          if base64:
              with open(
                  f"{data_debug_path}/gpu_rank{rank}_debug{data_debug_counter}_image{img_idx}.jpg",
                  "wb",
              ) as f:
                  f.write(image_path)
          else:
              shutil.copyfile(
                  image_path,
                  f"{data_debug_path}/gpu_rank{rank}_debug{data_debug_counter}_image{img_idx}.jpg",
              )
  
file_path: deepspeedexamples/applications/DeepSpeed-VisualChat/utils/data/utils.py
imports: import torch
  from torch.utils.data import Subset
  from torch.nn.utils.rnn import pad_sequence
  import numpy
  import shutil
  from torch.utils.data.dataloader import default_collate
  import utils.data.DST
label_desc: Use image node_id 3 for calling a global function with example usage: save_debug_image(image_path, data_debug_path, data_debug_counter, rank, img_idx, base64) without return types