code: def __init__(self, use_dropout: bool = True):
      from ..models.cv.encoder.backbone.core import Backbone
  
      super().__init__()
      self.scaling_layer = ScalingLayer()
      self.backbone = Backbone(
          "vgg16_full", pretrained=True, requires_grad=False
      )
      make_mapping = lambda in_nc: ChannelMapping(in_nc, use_dropout)
      self.out_channels = self.backbone.out_channels
      self.mappings = nn.ModuleList(
          list(map(make_mapping, self.out_channels))
      )
      self.load_pretrained()
      set_requires_grad(self, False)
  
imports: import torch
  from torch import nn
  from torch import Tensor
  from ..misc.toolkit import download_model
  from ..misc.toolkit import set_requires_grad
  from ..modules.blocks import HijackConv2d
label_desc: Use image node_id 1 to create a new LPIPS object from inherited base classes: nn with example: obj = LPIPS(use_dropout)