code: def check_bias(module):
      if getattr(module, "bias", "non-exist") == "non-exist":
          return "non-exist"
      try:
          return (
              "Tensor"
              if isinstance(module.bias.data, torch.Tensor)
              else "None"
          )
      except AttributeError:
          return "None"
  
file_path: nni/nni/compression/utils/fused_utils.py
imports: from typing import List, Dict, Any, Tuple
  import torch
  import torch.nn
  from ..base.setting import OUTPUT_PREFIX
label_desc: Use image node_id 4 for calling a global function with example usage: check_bias(module) and returns: str, unknown, str