code: def gpu_load(wproc=0.5, wmem=0.5):
      
  
      GPULoad = namedtuple('GPULoad', ['processor', 'memory', 'weighted'])
      gpus = GPUtil.getGPUs()
      load = []
      for g in gpus:
          wload = (wproc * g.load + wmem * g.memoryUtil) / (wproc + wmem)
          load.append(GPULoad(g.load, g.memoryUtil, wload))
      return load
docs: Return a list of namedtuples representing the current load for
      each GPU device. The processor and memory loads are fractions
      between 0 and 1. The weighted load represents a weighted average
      of processor and memory loads using the parameters `wproc` and
      `wmem` respectively.