code: def _key(self) -> Tuple[str, Optional[int], int, int]:
      with ignore_jit_warnings(
          ["Converting a tensor to a Python number"]
      ):
          size = (
              self.size.item() if isinstance(self.size, torch.Tensor) else self.size  # type: ignore[attr-defined, unreachable]
          )
          return self.name, self.dim, size, self.counter
  
imports: import numbers
  from typing import Iterator, NamedTuple, Optional, Tuple
  import torch
  from typing_extensions import Self
  from pyro.poutine.messenger import Messenger
  from pyro.poutine.runtime import _DIM_ALLOCATOR, Message
  from pyro.util import ignore_jit_warnings
label_desc: Use image node_id 2 for calling the CondIndepStackFrame obj's underlying member method code with example usage: obj._key() and returns: self,  self,  size,  self