code: def setUp(self):
      in_size = numpy.prod(self.in_shape)
  
      self.link = links.SimplifiedDropconnect(
          in_size,
          self.out_size,
          initialW=chainer.initializers.Normal(1, numpy.float32),
          initial_bias=chainer.initializers.Normal(1, numpy.float32),
      )
      self.link.cleargrads()
  
      x_shape = (4,) + self.in_shape
      self.x = numpy.ones(x_shape).astype(numpy.float32)
      self.W = self.link.W.data
      self.b = self.link.b.data
  
imports: import os
  import tempfile
  import unittest
  import numpy
  import chainer
  from chainer.backends import cuda
  from chainer import gradient_check
  from chainer import links
  from chainer.serializers import npz
  from chainer import testing
  from chainer.testing import attr
  from chainer.utils import type_check
label_desc: Use image node_id 1 for calling the TestSimplifiedDropconnectNotBatchwiseMask obj's underlying member method code with example usage: obj.setUp() without return types