code: def read_tensor(self, name: str, *, device=None) -> torch.Tensor:
      (
          dtype,
          h,
          storage_offset,
          size,
          stride,
          metadata,
      ) = self.read_tensor_metadata(name)
      storage = self.read_storage(h, device=device)
      t = torch.tensor([], dtype=dtype, device=storage.device)
      t.set_(storage, storage_offset, size, stride)
      torch._utils.set_tensor_metadata(t, metadata)
      return 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 4 for calling the ContentStoreReader obj's underlying member method code with example usage: obj.read_tensor(name) and returns: t