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
docstr: this is used to label the operator being benchmarked
docstr_tok: ["this","is","used","to","label","the","operator","being","benchmarked"]
code: def module_name(self):
      """this is used to label the operator being benchmarked"""
      if self.user_given_name:
          return self.user_given_name
      return self.__class__.__name__
  
imports: import json
  import time
  import benchmark_cpp_extension
  import torch
label_desc: Use image node_id 8 for calling the TorchBenchmarkBase obj's underlying member method code with example usage: obj.module_name() and returns: self, self