code: def __init__(self):
      super().__init__()
      self.suite_name = "torchbench"
      self.optimizer = None
  
imports: import gc
  import importlib
  import logging
  import os
  import re
  import sys
  import warnings
  from os.path import abspath, exists
  import torch
  from torch._dynamo.testing import collect_results, reduce_to_scalar_loss
  from torch._dynamo.utils import clone_inputs
label_desc: Use image node_id 1 to create a new TorchBenchmarkRunner object from inherited base classes: BenchmarkRunner with example: obj = TorchBenchmarkRunner()