code: def __init__(self, num_classes=1000):
      super(ResNeXt50_32x4d, self).__init__()
      self.num_classes = num_classes
      self.features = resnext50_32x4d_features
      self.avg_pool = nn.AvgPool2d((7, 7), (1, 1))
      self.last_linear = nn.Linear(2048, num_classes)
  
imports: import torch.nn
  import torch.utils.model_zoo
  from .resnext_features import resnext50_32x4d_features
  from .resnext_features import resnext101_32x4d_features
  from .resnext_features import resnext101_64x4d_features
label_desc: Use image node_id 1 to create a new ResNeXt50_32x4d object from inherited base classes: nn with example: obj = ResNeXt50_32x4d(num_classes)