code: def MLP(n_units, n_out):
      layer = ch.Sequential(L.Linear(n_units), F.relu)
      model = layer.repeat(2)
      model.append(L.Linear(n_out))
  
      return model
  
file_path: chainer/examples/glance/glance.py
imports: import chainer
  from chainer import datasets
  import chainer.functions
  import chainer.links
  from chainer import training
  from chainer.training import extensions
  import numpy
  import matplotlib
label_desc: Use image node_id 1 for calling a global function with example usage: MLP(n_units, n_out) and returns: model