code: def __init__(self, scores: List[jit.ScriptModule]):
      super().__init__()
      self.scores = nn.ModuleList(scores)
      log_class_usage(__class__)
  
imports: import functools
  import operator
  from typing import Any, Dict, List, Optional, Tuple
  import torch
  import torch.nn
  from caffe2.python import core
  from pytext.data.tensorizers import Tensorizer
  from pytext.utils.usage import log_class_usage
  from torch import jit
  from .doc_classification_output_layer import ClassificationOutputLayer
  from .output_layer_base import OutputLayerBase
label_desc: Use image node_id 1 to create a new MultiLabelClassificationScores object from inherited base classes: nn with example: obj = MultiLabelClassificationScores(scores)