code: def setUp(self):
      self.link = links.LocalConvolution2D(
          3,
          2,
          in_size=4,
          ksize=3,
          stride=1,
          initialW=chainer.initializers.Normal(1, self.W_dtype),
          initial_bias=chainer.initializers.Normal(1, self.x_dtype),
      )
      self.link.cleargrads()
  
      self.x = numpy.random.uniform(-1, 1, (2, 3, 4, 4)).astype(
          self.x_dtype
      )
      self.gy = numpy.random.uniform(-1, 1, (2, 2, 2, 2)).astype(
          self.x_dtype
      )
      self.check_backward_options = {}
      if self.x_dtype == numpy.float16 or self.W_dtype == numpy.float16:
          self.check_backward_options = {"atol": 3e-2, "rtol": 5e-2}
  
imports: import unittest
  import numpy
  import chainer
  from chainer import cuda
  from chainer import gradient_check
  from chainer import links
  from chainer import testing
  from chainer.testing import attr
  from chainer.testing import condition
label_desc: Use image node_id 1 for calling the TestLocalConvolution2D obj's underlying member method code with example usage: obj.setUp() without return types