code: def forward(self, x):
      batch_size, channels, width, height = x.size()
  
      # (batch, 1, width, height) -> (batch, 1*width*height)
      x = x.view(batch_size, -1)
  
      return self.model(x)
  
imports: from torch import nn
label_desc: Use image node_id 2 for calling the SimpleDenseNet obj's underlying member method code with example usage: obj.forward(x) and returns: self