code: def set_tensor_memo(self, t, v):
      # hold a weak ref to self, otherwise it will be kept alive
      # by the del_ten closure
      self_weak_ref = weakref.ref(self)
      if t.is_sparse or t.is_mkldnn or is_batchedtensor(t):
          weak_st = None
      else:
          weak_st = StorageWeakRef(t._typed_storage())
      tensor_ref_key = WeakIdRef(t)
  
      def del_ten():
          # tensor outlives the converter
          self_ref = self_weak_ref()
          if self_ref is None:
              return
          # on shutdown, tensor_ref_key may not be in memo
          self_ref.tensor_memo.pop(tensor_ref_key, None)
          if weak_st and weak_st.expired():
              self_ref.storage_memo.pop(weak_st, None)
          elif weak_st is not None:
              # [expired-storages]
              # NB: even though the tensor has died,
              # the deallocation of its storage can take longer,
              # even when the storage has no other uses/views.
              # In this case, the StorageWeakRef object will be kept alive
              # longer than it needs to be, however the storage itself
              # will be deallocated. We retain the possibly dead storages
              # and periodically check if any of them are expired and
              # can be freed.
              self_ref.maybe_storages_to_delete.append(weak_st)
  
      weakref.finalize(t, del_ten)
      self.tensor_memo[tensor_ref_key] = v
  
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 5 for calling the MetaConverter obj's underlying member method code with example usage: obj.set_tensor_memo(t, v) without return types