docstr: Tests when more than one columns are empty.
  
  Cross for the corresponding batch should be empty.
docstr_tok: ["Tests","when","more","than","one","columns","are","empty",".","Cross","for","the","corresponding","batch","should","be","empty","."]
code: def test_some_columns_empty(self):
      """Tests when more than one columns are empty.
  
      Cross for the corresponding batch should be empty.
      """
      sp_inp_1 = self._sparse_tensor(
          [["batch1-FC1-F1", "batch1-FC1-F2"]], 2
      )
      sp_inp_2 = self._sparse_tensor(
          [["batch1-FC2-F1"], ["batch2-FC2-F1"]], 2
      )
      sp_inp_3 = self._sparse_tensor(
          [["batch1-FC3-F1", "batch1-FC3-F2"]], 2
      )
      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_",
      )
      expected_out = self._sparse_tensor(
          [
              [
                  "batch1-FC1-F1_X_batch1-FC2-F1_X_batch1-FC3-F1",
                  "batch1-FC1-F1_X_batch1-FC2-F1_X_batch1-FC3-F2",
                  "batch1-FC1-F2_X_batch1-FC2-F1_X_batch1-FC3-F1",
                  "batch1-FC1-F2_X_batch1-FC2-F1_X_batch1-FC3-F2",
              ]
          ],
          2,
      )
      out = sparse_tensor.SparseTensor(inds, vals, shapes)
      with self.cached_session():
          self._assert_sparse_tensor_equals(
              expected_out, 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 12 for calling the SparseCrossV2OpTest obj's underlying member method code with example usage: obj.test_some_columns_empty() without return types