code: def testCompute(self):
      for _ in range(2):
          self._RunAndVerify(dtypes.float32)
          # Enable when LRN supports tf.float16 on GPU.
          if not test.is_gpu_available():
              self._RunAndVerify(dtypes.float16)
  
imports: import copy
  import numpy
  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 gradient_checker
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import nn
  from tensorflow.python.ops import random_ops
  import tensorflow.python.ops.nn_grad
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the LRNOpTest obj's underlying member method code with example usage: obj.testCompute() without return types