code: def to_device(
      x: torch.Tensor,
      device: torch.device,
      /,
      *,
      stream: Optional[int] = None,
      out: Optional[torch.Tensor] = None,
  ) -> torch.Tensor:
      if device is None:
          return x
      ret = x.to(as_native_dev(device))
      if isinstance(x, torch.nn.Parameter):
          return torch.nn.Parameter(ret)
      return ret
  
imports: import inspect
  import os
  import importlib
  import torch
  from typing import Optional, Union
  from torch.profiler import ProfilerActivity
  from torch.profiler import profile
  import ivy
  from ivy.functional.ivy.device import _shift_native_arrays_on_default_device, Profiler
label_desc: Use image node_id 2 for calling a global function with example usage: to_device() and returns: ret, x, torch