code: def read_tensor_metadata(self, name: str):
      fn = os.path.join(self.loc, "tensors", name)
      if not os.path.exists(fn):
          raise FileNotFoundError(fn)
      return torch.load(fn, weights_only=True)
  
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 ContentStoreReader obj's underlying member method code with example usage: obj.read_tensor_metadata(name) and returns: torch