code: def testScalar(self):
      with self.assertRaisesRegex(
          ValueError, "`logits` cannot be a scalar"
      ):
          nn_ops.sparse_softmax_cross_entropy_with_logits_v2(
              labels=constant_op.constant(0),
              logits=constant_op.constant(1.0),
          )
  
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 11 for calling the SparseXentOpTestBase obj's underlying member method code with example usage: obj.testScalar() without return types