code: def _get_blob_names(ops):
      """
      Get all the operator input and output blobs and perform dedup on their names.
  
      Args:
          ops: List of Caffe2 operators to extract inputs and outputs from
  
      Returns:
          set containing distinct inputs and outputs from 'ops'
      """
      names = set()
      for op in ops:
          names.update(op.input)
          names.update(op.output)
      return {name: name for name in names}
  
imports: import copy
  import logging
  import os
  import re
  from tensorboard.compat.proto.graph_pb2 import GraphDef
  from tensorboard.compat.proto.node_def_pb2 import NodeDef
  from tensorboard.compat.proto.tensor_shape_pb2 import TensorShapeProto
  from caffe2.proto import caffe2_pb2
  from caffe2.python import core, workspace
  from typing import Set, Dict, Tuple, List
label_desc: Use image node_id 4 for calling a global function with example usage: _get_blob_names(ops) and returns: unknown