docstr: Tests mixed type.
docstr_tok: ["Tests","mixed","type","."]
code: def test_integer_mixed_string_sparse(self):
      """Tests mixed type."""
      sp_inp_1 = self._sparse_tensor([[11], [333, 55555]])
      sp_inp_2 = self._sparse_tensor(
          [["batch1-FC2-F1"], ["batch2-FC2-F1", "batch2-FC2-F2"]]
      )
      inds, vals, shapes = gen_sparse_ops.sparse_cross_v2(
          indices=[sp_inp_1.indices, sp_inp_2.indices],
          values=[sp_inp_1.values, sp_inp_2.values],
          shapes=[sp_inp_1.dense_shape, sp_inp_2.dense_shape],
          dense_inputs=[],
          sep="_X_",
      )
      out = sparse_tensor.SparseTensor(inds, vals, shapes)
      # pyformat: disable
      expected_out = self._sparse_tensor(
          [
              ["11_X_batch1-FC2-F1"],
              [
                  "333_X_batch2-FC2-F1",
                  "333_X_batch2-FC2-F2",
                  "55555_X_batch2-FC2-F1",
                  "55555_X_batch2-FC2-F2",
              ],
          ]
      )
      # pyformat: enable
      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 5 for calling the SparseCrossV2OpTest obj's underlying member method code with example usage: obj.test_integer_mixed_string_sparse() without return types