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 get_inputs(self):
      # Need to convert the inputs to tuple outside of JIT so that
      # JIT can infer the size of the inputs.
      return self.inputs_tuple
  
imports: import json
  import time
  import benchmark_cpp_extension
  import torch
label_desc: Use image node_id 5 for calling the TorchBenchmarkBase obj's underlying member method code with example usage: obj.get_inputs() and returns: self