code: def generate_params(self):
      highprec_dtype = chainer.get_dtype(
          self.dtype, map_mixed16=numpy.float32
      )
      initial_gamma = numpy.random.uniform(
          -1, 1, (self.shape[1],)
      ).astype(highprec_dtype)
      initial_beta = numpy.random.uniform(
          -1, 1, (self.shape[1],)
      ).astype(highprec_dtype)
      return initial_gamma, initial_beta
  
imports: import unittest
  import numpy
  import chainer
  from chainer.backends import cuda
  from chainer import links
  from chainer import testing
  from chainer.testing import attr
label_desc: Use image node_id 3 for calling the GroupNormalizationTest obj's underlying member method code with example usage: obj.generate_params() and returns: initial_gamma,  initial_beta