code: def setUp(self):
      in_channels = 3
      out_channels = 6
      kh, kw = (3, 3)
      oh, ow = (2, 2)
      self.stride = 1
      self.W = numpy.random.normal(
          0,
          numpy.sqrt(1.0 / (kh * kw * in_channels)),
          (out_channels, oh, ow, in_channels, kh, kw),
      ).astype(self.W_dtype)
      self.b = numpy.random.uniform(
          -1,
          1,
          (
              out_channels,
              oh,
              ow,
          ),
      ).astype(self.x_dtype)
  
      self.x = numpy.random.uniform(
          -1, 1, (2, in_channels, 4, 4)
      ).astype(self.x_dtype)
      self.gy = numpy.random.uniform(
          -1, 1, (2, out_channels, oh, ow)
      ).astype(self.x_dtype)
      self.check_forward_options = {}
      self.check_backward_options = {"dtype": numpy.float64}
      if self.x_dtype == numpy.float16 or self.W_dtype == numpy.float16:
          self.check_forward_options = {"atol": 5e-3, "rtol": 5e-3}
          self.check_backward_options = {
              "dtype": numpy.float64,
              "atol": 5e-3,
              "rtol": 5e-3,
          }
  
imports: import unittest
  import numpy
  from six import moves
  from chainer import cuda
  from chainer.functions.connection import convolution_2d
  from chainer.functions.connection import local_convolution_2d
  from chainer import gradient_check
  from chainer import testing
  from chainer.testing import attr
  from chainer.testing import condition
label_desc: Use image node_id 1 for calling the TestLocalConvolution2DFunction obj's underlying member method code with example usage: obj.setUp() without return types