code: def generate_inputs(self):
      dtype = self.dtype
      ndim = self.ndim
      shape = (5, self.n_channels) + (2,) * ndim
      x = numpy.random.uniform(-1, 1, shape).astype(dtype)
      return (x,)
  
imports: import numpy
  from chainer import functions
  from chainer import testing
label_desc: Use image node_id 2 for calling the TestFixedDecorrelatedBatchNormalization obj's underlying member method code with example usage: obj.generate_inputs() and returns: x