code: def as_ivy_dev(device: torch.device, /):
      if isinstance(device, str):
          return ivy.Device(device)
      dev_type, dev_idx = (device.type, device.index)
      if dev_type == "cpu":
          return ivy.Device(dev_type)
      elif dev_type == "mps":
          return ivy.Device(
              dev_type.replace("mps", "gpu")
              + (":" + (str(dev_idx) if dev_idx is not None else "0"))
          )
      return ivy.Device(
          dev_type.replace("cuda", "gpu")
          + (":" + (str(dev_idx) if dev_idx is not None else "0"))
      )
  
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 3 for calling a global function with example usage: as_ivy_dev() and returns: ivy, ivy, ivy, ivy