code: def __init__(self):
      super().__init__()
      self.valid = None
  
file_path: nebuly/optimization/nebullvm/nebullvm/operations/measures/measures.py
imports: from typing import List, Tuple, Any, Callable, Dict
  import numpy
  from nebullvm.config import QUANTIZATION_DATA_NUM
  from nebullvm.core.models import BenchmarkOriginalModelResult, DeepLearningFramework
  from nebullvm.operations.inference_learners.base import BaseInferenceLearner
  from nebullvm.operations.measures.base import Measure
  from nebullvm.operations.measures.utils import compute_torch_latency, compute_tf_latency, compute_onnx_latency, compute_relative_difference
  from nebullvm.tools.data import DataManager
  from nebullvm.tools.onnx import run_onnx_model
  from nebullvm.tools.pytorch import run_torch_model
  from nebullvm.tools.tf import run_tf_model
label_desc: Use image node_id 1 to create a new MetricDropMeasure object from inherited base classes: Measure with example: obj = MetricDropMeasure()