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_consume(self, iters: int):
      #  _consume is used to avoid the dead-code-elimination optimization
      for _ in range(iters):
          torch.ops.operator_benchmark._consume(self.forward_impl())
  
imports: import json
  import time
  import benchmark_cpp_extension
  import torch
label_desc: Use image node_id 7 for calling the TorchBenchmarkBase obj's underlying member method code with example usage: obj.forward_consume(iters) without return types