docstr: Tests when one column is empty.
  
  The crossed tensor should be empty.
docstr_tok: ["Tests","when","one","column","is","empty",".","The","crossed","tensor","should","be","empty","."]
code: def test_one_column_empty(self):
      """Tests when one column is empty.
  
      The crossed tensor should be empty.
      """
      op = sparse_ops.sparse_cross(
          [
              self._sparse_tensor([["batch1-FC1-F1", "batch1-FC1-F2"]]),
              self._sparse_tensor([], 1),
              self._sparse_tensor([["batch1-FC3-F1", "batch1-FC3-F2"]]),
          ]
      )
      with self.cached_session():
          self._assert_sparse_tensor_empty(self.evaluate(op))
  
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 10 for calling the SparseCrossOpTest obj's underlying member method code with example usage: obj.test_one_column_empty() without return types