code: def testShapeMismatch(self):
      with self.assertRaisesRegex(
          ValueError,
          "`labels.shape.rank` must equal `logits.shape.rank - 1`",
      ):
          nn_ops.sparse_softmax_cross_entropy_with_logits_v2(
              labels=[[0, 2]],
              logits=[[0.0, 1.0], [2.0, 3.0], [2.0, 3.0]],
          )
  
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 10 for calling the SparseXentOpTestBase obj's underlying member method code with example usage: obj.testShapeMismatch() without return types