code: def forward(self, x):
      h1 = F.relu(self.l1(x))
      h2 = F.relu(self.l2(h1))
      return self.l3(h2)
  
file_path: chainer/examples/mnist/train_mnist.py
imports: import argparse
  import chainer
  import chainer.functions
  import chainer.links
  from chainer import training
  from chainer.training import extensions
  import chainerx
  import matplotlib
label_desc: Use image node_id 2 for calling the MLP obj's underlying member method code with example usage: obj.forward(x) and returns: self