code: def testTrainingShape6(self):
      x_shape = [1, 1, 1, 1]
      # GPU kernel doesn't properly handle case where non-channel dimensions are 1
      self._runtests(x_shape, True, cpu_only=True)
  
imports: import numpy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_nn_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_fused_batch_norm_grad
  from tensorflow.python.ops import nn_impl
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 23 for calling the BatchNormalizationTest obj's underlying member method code with example usage: obj.testTrainingShape6() without return types