code: def test_sep_ignored_in_hashed_out(self):
      sp_inp_1 = self._sparse_tensor(
          [["batch1-FC1-F1", "batch1-FC1-F2", "batch1-FC1-F3"]]
      )
      sp_inp_2 = self._sparse_tensor([["batch1-FC2-F1"]])
      sp_inp_3 = self._sparse_tensor(
          [["batch1-FC3-F1", "batch1-FC3-F2"]]
      )
      inds, vals, shapes = gen_sparse_ops.sparse_cross_hashed(
          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=[],
          strong_hash=True,
          num_buckets=1000,
          salt=[137, 173],
      )
      output = sparse_tensor.SparseTensor(inds, vals, shapes)
      inds_2, vals_2, shapes_2 = gen_sparse_ops.sparse_cross_hashed(
          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=[],
          strong_hash=True,
          num_buckets=1000,
          salt=[137, 173],
      )
      output_2 = sparse_tensor.SparseTensor(inds_2, vals_2, shapes_2)
      with self.cached_session():
          out = self.evaluate(output)
          out_2 = self.evaluate(output_2)
          self.assertAllEqual(out.indices, out_2.indices)
          self.assertAllEqual(out.values, out_2.values)
  
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 6 for calling the SparseCrossHashedOpTest obj's underlying member method code with example usage: obj.test_sep_ignored_in_hashed_out() without return types