code: def setUp(self):
      ndim = 0
      param_shape = (3,)
      dtype = numpy.float32
      gamma = cuda.cupy.random.uniform(0.5, 1, param_shape).astype(
          dtype
      )
      beta = cuda.cupy.random.uniform(-1, 1, param_shape).astype(dtype)
      mean = cuda.cupy.random.uniform(-1, 1, param_shape).astype(dtype)
      var = cuda.cupy.random.uniform(-1, 1, param_shape).astype(dtype)
      shape = (7,) + param_shape + (2,) * ndim
      x = cuda.cupy.random.uniform(-1, 1, shape).astype(dtype)
      self.args = [x, gamma, beta, mean, var]
  
imports: import unittest
  import warnings
  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
  from chainer.testing import backend
label_desc: Use image node_id 1 for calling the TestFixedBatchNormalizationCudnnEps obj's underlying member method code with example usage: obj.setUp() without return types