code: def encode_params(self, params, is_gpu=False):
      if is_gpu:
          params = {k: cuda.to_gpu(v) for k, v in params.items()}
  
      if self.is_variable:
          params = {k: chainer.Variable(v) for k, v in params.items()}
  
      return params
  
imports: import unittest
  import numpy
  import chainer
  from chainer.backends import cuda
  from chainer import distributions
  from chainer import testing
  from chainer.testing import attr
label_desc: Use image node_id 2 for calling the TestKLDivergence obj's underlying member method code with example usage: obj.encode_params(params, is_gpu) and returns: params