code: def testHighDim2(self):
      labels = [[3, 2], [0, 3]]
      logits = [
          [[1.0, 1.0, 1.0, 1.0], [2.0, 2.0, 2.0, 2.0]],
          [[1.0, 2.0, 3.0, 4.0], [5.0, 6.0, 7.0, 8.0]],
      ]
      self._testHighDim(labels, logits)
  
imports: import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import context
  from tensorflow.python.framework import config
  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 ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import nn_ops
  import tensorflow.python.ops.nn_grad
  from tensorflow.python.platform import test
label_desc: Use image node_id 24 for calling the SparseXentOpTestBase obj's underlying member method code with example usage: obj.testHighDim2() without return types