code: def check_eps(self, x_data):
      x = chainer.Variable(x_data)
  
      y = functions.normalize(x, axis=self.axis)
      self.assertEqual(y.data.dtype, self.dtype)
      y_data = cuda.to_cpu(y.data)
  
      y_expect = numpy.zeros_like(self.x)
      testing.assert_allclose(y_expect, y_data)
  
imports: import functools
  import itertools
  import unittest
  import numpy
  import six
  import chainer
  from chainer.backends import cuda
  from chainer import functions
  from chainer import gradient_check
  from chainer import testing
  from chainer.testing import attr
label_desc: Use image node_id 11 for calling the TestL2Normalization obj's underlying member method code with example usage: obj.check_eps(x_data) without return types