code: def testTopAll(self):
      inputs = [[0.1, 0.3, 0.2, 0.4], [0.1, 0.3, 0.3, 0.2]]
      self._validateTopK(
          inputs,
          4,
          [[0.4, 0.3, 0.2, 0.1], [0.3, 0.3, 0.2, 0.1]],
          [[3, 1, 2, 0], [1, 2, 3, 0]],
      )
  
imports: import itertools
  import sys
  import numpy
  from tensorflow.python.client import session
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  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 gradients_impl
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import resource_variable_ops
  import tensorflow.python.ops.nn_grad
  from tensorflow.python.platform import test
label_desc: Use image node_id 15 for calling the TopKTest obj's underlying member method code with example usage: obj.testTopAll() without return types