docstr: Tests 3x3x3 permutation.
docstr_tok: ["Tests","3x3x3","permutation","."]
code: def test_permutation_3x3x3(self):
      """Tests 3x3x3 permutation."""
      op = sparse_ops.sparse_cross(
          [
              self._sparse_tensor(
                  [["batch1-FC1-F1", "batch1-FC1-F2", "batch1-FC1-F3"]]
              ),
              self._sparse_tensor(
                  [["batch1-FC2-F1", "batch1-FC2-F2", "batch1-FC2-F3"]]
              ),
              self._sparse_tensor(
                  [["batch1-FC3-F1", "batch1-FC3-F2", "batch1-FC3-F3"]]
              ),
          ]
      )
      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-F1_X_batch1-FC2-F1_X_batch1-FC3-F3",
                  "batch1-FC1-F1_X_batch1-FC2-F2_X_batch1-FC3-F1",
                  "batch1-FC1-F1_X_batch1-FC2-F2_X_batch1-FC3-F2",
                  "batch1-FC1-F1_X_batch1-FC2-F2_X_batch1-FC3-F3",
                  "batch1-FC1-F1_X_batch1-FC2-F3_X_batch1-FC3-F1",
                  "batch1-FC1-F1_X_batch1-FC2-F3_X_batch1-FC3-F2",
                  "batch1-FC1-F1_X_batch1-FC2-F3_X_batch1-FC3-F3",
                  "batch1-FC1-F2_X_batch1-FC2-F1_X_batch1-FC3-F1",
                  "batch1-FC1-F2_X_batch1-FC2-F1_X_batch1-FC3-F2",
                  "batch1-FC1-F2_X_batch1-FC2-F1_X_batch1-FC3-F3",
                  "batch1-FC1-F2_X_batch1-FC2-F2_X_batch1-FC3-F1",
                  "batch1-FC1-F2_X_batch1-FC2-F2_X_batch1-FC3-F2",
                  "batch1-FC1-F2_X_batch1-FC2-F2_X_batch1-FC3-F3",
                  "batch1-FC1-F2_X_batch1-FC2-F3_X_batch1-FC3-F1",
                  "batch1-FC1-F2_X_batch1-FC2-F3_X_batch1-FC3-F2",
                  "batch1-FC1-F2_X_batch1-FC2-F3_X_batch1-FC3-F3",
                  "batch1-FC1-F3_X_batch1-FC2-F1_X_batch1-FC3-F1",
                  "batch1-FC1-F3_X_batch1-FC2-F1_X_batch1-FC3-F2",
                  "batch1-FC1-F3_X_batch1-FC2-F1_X_batch1-FC3-F3",
                  "batch1-FC1-F3_X_batch1-FC2-F2_X_batch1-FC3-F1",
                  "batch1-FC1-F3_X_batch1-FC2-F2_X_batch1-FC3-F2",
                  "batch1-FC1-F3_X_batch1-FC2-F2_X_batch1-FC3-F3",
                  "batch1-FC1-F3_X_batch1-FC2-F3_X_batch1-FC3-F1",
                  "batch1-FC1-F3_X_batch1-FC2-F3_X_batch1-FC3-F2",
                  "batch1-FC1-F3_X_batch1-FC2-F3_X_batch1-FC3-F3",
              ]
          ]
      )
      with self.cached_session():
          self._assert_sparse_tensor_equals(
              expected_out, 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 7 for calling the SparseCrossOpTest obj's underlying member method code with example usage: obj.test_permutation_3x3x3() without return types