code: def parameterize_batch_renormalization():
      return testing.parameterize(
          *(
              testing.product(
                  {
                      "ndim": [0, 1, 2],
                      "eps": [2e-5, 1e-1],
                      "dtype": [numpy.float32],
                      "update_statistics": [True, False],
                  }
              )
              + testing.product(
                  {
                      "ndim": [1],
                      "eps": [2e-5, 1e-1],
                      "dtype": [
                          numpy.float16,
                          numpy.float32,
                          numpy.float64,
                      ],
                      "update_statistics": [True, False],
                  }
              )
          )
      )
  
imports: import numpy
  import six
  import chainer
  from chainer.functions.normalization import batch_renormalization
  from chainer import testing
  import chainerx
label_desc: Use image node_id 2 for calling a global function with example usage: parameterize_batch_renormalization() and returns: testing