code: def as_native_dev(
      device: Optional[Union[ivy.Device, core.Place]] = None,
      /,
  ) -> core.Place:
      if isinstance(device, core.Place):
          return device
      native_dev = core.Place()
      if "cpu" in device:
          native_dev.set_place(paddle.device.core.CPUPlace())
  
      elif "gpu" in device:
          if ":" in device:
              gpu_idx = int(device.split(":")[-1])
              assert (
                  gpu_idx < num_gpus()
              ), "The requested device is higher than the number of available devices"
          else:
              gpu_idx = 0
          native_dev.set_place(paddle.device.core.CUDAPlace(gpu_idx))
      return native_dev
  
imports: import os
  import paddle
  from typing import Optional, Union
  import time
  import ivy
  from ivy.functional.ivy.device import _shift_native_arrays_on_default_device, Profiler
  from paddle.device import core
label_desc: Use image node_id 4 for calling a global function with example usage: as_native_dev() and returns: native_dev, device