code: def write_tensor(self, name: str, t: torch.Tensor) -> None:
      storage = t.untyped_storage()
      h = self.write_storage(storage)
      # TODO: Support more advanced snapshotting of requires_grad/grad/etc
      d, f = os.path.split(name)
      payload = self.compute_tensor_metadata(t, h=h)
      subfolder = os.path.join(self.loc, "tensors", d)
      os.makedirs(subfolder, exist_ok=True)
      torch.save(payload, os.path.join(subfolder, f))
  
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 ContentStoreWriter obj's underlying member method code with example usage: obj.write_tensor(name, t) without return types