code: def compute(self):
      if self.bm_jit:
          return self.bm_jit(*self.inputs)
      else:
          return self.forward(*self.inputs)
  
imports: import contextlib
  import json
  import os
  import time
  import numpy
  import torch
  from .None import tensor_engine
label_desc: Use image node_id 15 for calling the Benchmark obj's underlying member method code with example usage: obj.compute() and returns: self, self