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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def gpu_mem_restore(func):
 "Reclaim GPU RAM if CUDA out of memory happened, or execution was interrupted" @functools.wraps(func) def wrapper(*args, **kwargs):
 tb_clear_frames = os.environ.get('FASTAI_TB_CLEAR_FRAMES', None) if not IS_IN_IPYTHON or tb_clear_frames=="0": return func(*args, **kwargs) try: return func(*args, **kwargs) except Exception as e: if ("CUDA out of memory" in str(e) or "device-side assert triggered" in str(e) or tb_clear_frames == "1"):
 type, val, tb = get_ref_free_exc_info() # must! gc.collect() if "device-side assert triggered" in str(e):
 warn("""When 'device-side assert triggered' error happens, it's not possible to recover and you must restart the kernel to continue. Use os.environ['CUDA_LAUNCH_BLOCKING']="1" before restarting to debug"""
)
                raise type(val).with_traceback(tb) from None
            else: raise # re-raises the exact last exception
    return wrapper