code: def test_batch_size_mismatch(self):
      st1 = sparse_tensor.SparseTensor(
          [[0, 0]], [0], [10, 10]
      )  # batch size 10
      st2 = sparse_tensor.SparseTensor(
          [[0, 0]], [0], [7, 10]
      )  # batch size 7
      dt = array_ops.zeros([5, 0])  # batch size 5
      with self.assertRaisesRegex(
          (errors.InvalidArgumentError, ValueError),
          "Expected batch size",
      ):
          self.evaluate(sparse_ops.sparse_cross([st1, dt]))
      with self.assertRaisesRegex(
          (errors.InvalidArgumentError, ValueError),
          "Expected batch size",
      ):
          self.evaluate(sparse_ops.sparse_cross([st1, st2]))
  
imports: 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 sparse_tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_sparse_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 24 for calling the SparseCrossOpTest obj's underlying member method code with example usage: obj.test_batch_size_mismatch() without return types