code: def hash_tensor(tensor: "Tensor", *, hash_engine=None) -> str:
      if hash_engine is None:
          hash_engine = hashlib.sha256()
  
      buff = io.BytesIO()
      torch.save(tensor, buff)
      buff.seek(0)
      hash_engine.update(buff.read())
      return hash_engine.hexdigest()
  
file_path: avalanche/avalanche/distributed/distributed_consistency_verification.py
imports: import hashlib
  import io
  from typing import Tuple, TYPE_CHECKING
  import torch
  from torch.utils.data import DataLoader
label_desc: Use image node_id 4 for calling a global function with example usage: hash_tensor(tensor) and returns: hash_engine