code: def testBatchNormMixedPrecision(self):
      self._testBatchNormArbitraryShapes(
          (3, 3),
          (1, 3),
          dtype=dtypes.float16,
          param_dtype=dtypes.float32,
          atol=0.001,
      )
  
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  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_impl
  import tensorflow.python.ops.nn_grad
  from tensorflow.python.platform import test
label_desc: Use image node_id 18 for calling the BatchNormalizationTest obj's underlying member method code with example usage: obj.testBatchNormMixedPrecision() without return types