code: def testBatchNormGradGradConfig4(self):
      config = {
          "shape": [2, 3, 2, 2],
          "err_tolerance": 2e-3,
          "dtype": np.float16,
      }
      self._testBatchNormGradGrad(config)
  
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 43 for calling the BatchNormalizationTest obj's underlying member method code with example usage: obj.testBatchNormGradGradConfig4() without return types