code: def forward(self, x):
      h = chx.relu(chx.linear(x, self.W1, self.b1))
      h = chx.relu(chx.linear(h, self.W2, self.b2))
      return chx.linear(h, self.W3, self.b3)
  
file_path: chainer/chainerx_cc/examples/mnist_py/train_mnist.py
imports: import argparse
  import gzip
  import pathlib
  import time
  import numpy
  import chainerx
label_desc: Use image node_id 3 for calling the MLP obj's underlying member method code with example usage: obj.forward(x) and returns: chx