code: def __init__(self):
      super().__init__()
      self.optimize_inference_op = OptimizeInferenceOp()
      self.set_feedback_collector(SPEEDSTER_FEEDBACK_COLLECTOR)
  
imports: import json
  import pickle
  import sys
  from typing import Any, Union, Iterable, Sequence, Dict, Callable, List
  from loguru import logger
  from nebullvm import setup_logger
  from nebullvm.config import MIN_NUMBER
  from nebullvm.core.models import OptimizeInferenceResult, DeviceType
  from nebullvm.operations.base import Operation
  from nebullvm.operations.optimizations.optimize_inference import OptimizeInferenceOp
  from nebullvm.tools.data import DataManager
  from nebullvm.tools.feedback_collector import FeedbackCollector
  from tabulate import tabulate
  from nebullvm.tools.hardware_utils import get_hw_setup
  from nebullvm.tools.utils import get_model_size_mb, get_model_name, generate_model_id
label_desc: Use image node_id 1 to create a new SpeedsterRootOp object from inherited base classes: Operation with example: obj = SpeedsterRootOp()