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.
      """
      sp_inp_1 = self._sparse_tensor(
          [["batch1-FC1-F1", "batch1-FC1-F2"]]
      )
      sp_inp_2 = self._sparse_tensor([], 1)
      sp_inp_3 = self._sparse_tensor(
          [["batch1-FC3-F1", "batch1-FC3-F2"]]
      )
      inds, vals, shapes = gen_sparse_ops.sparse_cross_v2(
          indices=[
              sp_inp_1.indices,
              sp_inp_2.indices,
              sp_inp_3.indices,
          ],
          values=[sp_inp_1.values, sp_inp_2.values, sp_inp_3.values],
          shapes=[
              sp_inp_1.dense_shape,
              sp_inp_2.dense_shape,
              sp_inp_3.dense_shape,
          ],
          dense_inputs=[],
          sep="_X_",
      )
      out = sparse_tensor.SparseTensor(inds, vals, shapes)
      with self.cached_session():
          self._assert_sparse_tensor_empty(self.evaluate(out))
  
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 11 for calling the SparseCrossV2OpTest obj's underlying member method code with example usage: obj.test_one_column_empty() without return types