code: def forward(self, x):
      x = x.squeeze().view(x.size(0), -1)
      x = self.fc1(x)
      x = self.bn1(x)
      x = self.activation(x)
      x = self.features(x)
      return self.fc_out(x)
  
imports: import matplotlib
  import matplotlib.pyplot
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.autograd import Variable
  from torch.nn import Linear
  import os
label_desc: Use image node_id 2 for calling the FCNet obj's underlying member method code with example usage: obj.forward(x) and returns: self