code: def meta_storage(self, s, callback):
      # NB: TypedStorage is freshly allocated and cannot be used as hash
      # key index.
  
      # Use a Weak Ref to s in order to not leak memory
      swr = StorageWeakRef(s)
      if swr not in self.storage_memo:
          self.storage_memo[swr] = callback(
              lambda: torch.empty(
                  s.size(), dtype=torch.uint8, device="meta"
              )
          ).untyped_storage()
      return self.storage_memo[swr]
  
imports: import contextlib
  import warnings
  import weakref
  from typing import ContextManager, List, Optional, Tuple, TYPE_CHECKING
  import torch
  from torch._C._functorch import _add_batch_dim, _unwrap_functional_tensor, _wrap_functional_tensor, current_level, get_unwrapped, is_batchedtensor, maybe_get_bdim, maybe_get_level, peek_interpreter_stack, TransformType
  from torch._guards import Source
  from torch.multiprocessing.reductions import StorageWeakRef
  from torch.utils._python_dispatch import is_traceable_wrapper_subclass, transform_subclass
  from torch.utils.weak import WeakIdRef
  import torch._prims_common
label_desc: Use image node_id 6 for calling the MetaConverter obj's underlying member method code with example usage: obj.meta_storage(s, callback) and returns: self