class_docstr: This is a base class used to create Pytorch operator benchmark.
  module_name is the name of the operator being benchmarked.
  test_name is the name (it's created by concatenating all the
  inputs) of a specific test
code: def __init__(self):
      super().__init__()
      self.user_given_name = None
      self._pass_count = 0
      self._num_inputs_require_grads = 0
  
imports: import json
  import time
  import benchmark_cpp_extension
  import torch
label_desc: Use image node_id 1 to create a new TorchBenchmarkBase object from inherited base classes: torch.nn with example: obj = TorchBenchmarkBase()