code: def forward(self, x):
      enc1 = self.enc1(x)
      enc2 = self.enc2(enc1)
      enc3 = self.enc3(enc2)
      enc4 = self.enc4(enc3)
      enc5 = self.enc5(enc4)
  
      dec5 = self.dec5(enc5)
      dec4 = self.dec4(torch.cat([enc4, dec5], 1))
      dec3 = self.dec3(torch.cat([enc3, dec4], 1))
      dec2 = self.dec2(torch.cat([enc2, dec3], 1))
      dec1 = self.dec1(torch.cat([enc1, dec2], 1))
      return dec1
  
file_path: pywick/pywick/models/segmentation/seg_net.py
imports: import torch
  from torch import nn
  from torchvision import models
  from .fcn_utils import initialize_weights
  from .config import vgg19_bn_path
label_desc: Use image node_id 2 for calling the SegNet obj's underlying member method code with example usage: obj.forward(x) and returns: dec1