code: def _maybe_wrap_tensor(self) -> torch.Tensor:
      if _are_we_tracing():
          return wait_tensor(self)
      res = AsyncCollectiveTensor(self)
      _register_tensor_wrapper(res)
      return cast(torch.Tensor, res)
  
imports: import sys
  import warnings
  from typing import cast, List, Optional, Tuple, TYPE_CHECKING, Union
  import torch
  import torch.distributed
  import torch.distributed.distributed_c10d
  from torch._custom_ops import impl_abstract
  from torch.distributed.device_mesh import DeviceMesh
  from torch.fx.experimental.proxy_tensor import get_innermost_proxy_mode
  from .None import _functional_collectives_impl
  from ._functional_collectives_impl import _register_tensor_wrapper
  from torch.distributed.distributed_c10d import all_gather_into_tensor, all_reduce, reduce_scatter_tensor
label_desc: Use image node_id 14 for calling a global function with example usage: _maybe_wrap_tensor() and returns: cast, wait_tensor