code: def __init__(self):
      self.W1, self.b1 = new_linear_params(784, 1000)
      self.W2, self.b2 = new_linear_params(1000, 1000)
      self.W3, self.b3 = new_linear_params(1000, 10)
  
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 1 to create a new MLP object from inherited base classes: object with example: obj = MLP()