code: def generate_inputs(self):
      N = 2
      h, w = 3, 2
      x = numpy.random.uniform(
          -1, 1, (N, self.in_channels, h, w)
      ).astype(self.x_dtype)
      return (x,)
  
imports: import numpy
  import chainer
  from chainer.backends import cuda
  import chainer.functions
  from chainer import links
  from chainer import testing
  from chainer.testing import parameterize
label_desc: Use image node_id 3 for calling the TestDeconvolution2D obj's underlying member method code with example usage: obj.generate_inputs() and returns: x