code: def gpu_is_available() -> bool:
      return (
          hasattr(torch.backends, "mps")
          and torch.backends.mps.is_available()
      ) or torch.cuda.is_available()
  
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 7 for calling a global function with example usage: gpu_is_available() and returns: unknown