text: """ Full assembly of the parts to form the complete network """
  
  import torch.nn.functional as F
  
  from .unet_parts import *
  
  
  class UNet(nn.Module):
      def __init__(self, n_channels, n_classes, bilinear=True):
          super(UNet, self).__init__()
          self.n_channels = n_channels
          self.n_classes = n_classes
          self.bilinear = bilinear
  
          self.inc = DoubleConv(n_channels, 64)
          self.down1 = Down(64, 128)
          self.down2 = Down(128, 256)
          self.down3 = Down(256, 512)
          factor = 2 if bilinear else 1
          self.down4 = Down(512, 1024 // factor)
          self.up1 = Up(1024, 512 // factor, bilinear)
          self.up2 = Up(512, 256 // factor, bilinear)
          self.up3 = Up(256, 128 // factor, bilinear)
          self.up4 = Up(128, 64, bilinear)
          self.outc = OutConv(64, n_classes)
  
      def forward(self, x):
          x1 = self.inc(x)
          x2 = self.down1(x1)
          x3 = self.down2(x2)
          x4 = self.down3(x3)
          x5 = self.down4(x4)
          x = self.up1(x5, x4)
          x = self.up2(x, x3)
          x = self.up3(x, x2)
          x = self.up4(x, x1)
          logits = self.outc(x)
          return logits
  