code: def validate_cache() -> bool:
      import torch
  
      cache_valid = []
  
      if nn_cache_file_path.exists():
          lines = nn_cache_file_path.read_text().splitlines()
          for line in lines:
              if line.startswith("# _torch_version = "):
                  _cached_torch_version = line[
                      line.find("=") + 1 :
                  ].strip()
                  if _cached_torch_version == torch.__version__:
                      cache_valid.append(True)
              if line.startswith("# _torch_nn_cache_sha1 = "):
                  _cached_cache_version = line[
                      line.find("=") + 1 :
                  ].strip()
                  if _cached_cache_version == cache_version:
                      cache_valid.append(True)
  
      return len(cache_valid) >= 2 and all(cache_valid)
  
file_path: nni/nni/nas/nn/pytorch/layers.py
imports: import hashlib
  import os
  import warnings
  from pathlib import Path
label_desc: Use image node_id 1 for calling a global function with example usage: validate_cache() and returns: unknown