class_docstr: This is a base class used to create Caffe2 operator benchmark
class_docstr_tok: ["This","is","a","base","class","used","to","create","Caffe2","operator","benchmark"]
code: def extract_inputs_tuple(self):
      # add a dummy function here to match the interface of TorchBenchmarkBase
      pass
  
imports: from collections import namedtuple
  import benchmark_utils
  from benchmark_test_generator import _register_test
  from caffe2.proto import caffe2_pb2
  from caffe2.python import core, workspace
  from .benchmark_core import TestConfig
label_desc: Use image node_id 10 for calling the Caffe2BenchmarkBase obj's underlying member method code with example usage: obj.extract_inputs_tuple() without return types