code: def _testLabelsPlaceholderScalar(self, expected_error_message):
      with ops_lib.Graph().as_default(), self.session():
          labels = array_ops.placeholder(np.int32)
          y = nn_ops.sparse_softmax_cross_entropy_with_logits_v2(
              labels=labels, logits=[[7.0]]
          )
          with self.assertRaisesOpError(expected_error_message):
              y.eval(feed_dict={labels: 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 12 for calling the SparseXentOpTestBase obj's underlying member method code with example usage: obj._testLabelsPlaceholderScalar(expected_error_message) without return types