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 forward_impl(self):
      # This is to supply the inputs to the forward function which
      # will be called in both the eager and JIT mode of local runs
      return self.forward(*self.get_inputs())
  
imports: import json
  import time
  import benchmark_cpp_extension
  import torch
label_desc: Use image node_id 6 for calling the TorchBenchmarkBase obj's underlying member method code with example usage: obj.forward_impl() and returns: self