code: def compute_tensor_metadata(self, t: torch.Tensor, h=None):
      if h is None:
          h = hash_storage(
              t.untyped_storage(), stable_hash=self.stable_hash
          )
      return (
          t.dtype,
          h,
          t.storage_offset(),
          tuple(t.shape),
          t.stride(),
          torch._utils.get_tensor_metadata(t),
      )
  
imports: import ctypes
  import functools
  import hashlib
  import os.path
  import struct
  from collections import defaultdict
  from typing import Dict, Optional, Set
  import torch
  import torch._prims
  import torch._utils
  import torch.nn.functional
  from torch._C import default_generator
  from torch.multiprocessing.reductions import StorageWeakRef
label_desc: Use image node_id 3 for calling the ContentStoreWriter obj's underlying member method code with example usage: obj.compute_tensor_metadata(t, h) and returns: t,  h,  t,  tuple,  t,  torch