code: def device(self) -> paddle.device:
      if paddle.is_compiled_with_cuda():
          return "cpu"
      else:
          return "gpu"
  
file_path: PaddleSeg/contrib/SegmentAnything/segment_anything/predictor.py
imports: import numpy
  from typing import Optional, Tuple
  import paddle
  from .modeling import Sam
  from .utils.transforms import ResizeLongestSide
label_desc: Use image node_id 7 for calling the SamPredictor obj's underlying member method code with example usage: obj.device() and returns: str, str