code: def __init__(
      self,
      backbone: nn.Module,
      classifier: nn.Module,
      aux_classifier: Optional[nn.Module] = None,
  ) -> None:
      super().__init__()
      _log_api_usage_once(self)
      self.backbone = backbone
      self.classifier = classifier
      self.aux_classifier = aux_classifier
  
file_path: vision/torchvision/models/segmentation/_utils.py
imports: from collections import OrderedDict
  from typing import Dict, Optional
  from torch import nn, Tensor
  from torch.nn import functional
  from ...utils import _log_api_usage_once
label_desc: Use image node_id 1 to create a new _SimpleSegmentationModel object from inherited base classes: nn with example: obj = _SimpleSegmentationModel(backbone, classifier, aux_classifier)