code: def is_gpu_available():
      """check whether parl can access a GPU
  
      Returns:
        True if a gpu device can be found.
      """
      ret = get_gpu_count() > 0
      if _HAS_PADDLE:
          import paddle
  
          if ret is True and not paddle.is_compiled_with_cuda():
              logger.warning(
                  "Found non-empty CUDA_VISIBLE_DEVICES. \
                  But PARL found that Paddle was not complied with CUDA, which may cause issues. \
                  Thus PARL will not use GPU."
              )
              return False
      if _HAS_FLUID:
          from paddle import fluid
  
          if ret is True and not fluid.is_compiled_with_cuda():
              logger.warning(
                  "Found non-empty CUDA_VISIBLE_DEVICES. \
                  But PARL found that Paddle was not complied with CUDA, which may cause issues. \
                  Thus PARL will not use GPU."
              )
              return False
      return ret
  
file_path: PARL/parl/utils/machine_info.py
imports: import os
  import platform
  import random
  import socket
  import subprocess
  from parl.utils import logger, _HAS_FLUID, _HAS_PADDLE, _IS_WINDOWS
label_desc: Use image node_id 3 for calling a global function with example usage: is_gpu_available() and returns: ret, False, False