code: def test_sparse_cross_hashed_empty_seed(self):
      with self.assertRaisesRegex(
          errors.InvalidArgumentError,
          r'Input "salt" must have length 2',
      ):
          indices = []
          values = []
          shapes = []
          dense_inputs = []
          num_buckets = -461
          salt = []
          strong_hash = False
          op = gen_sparse_ops.sparse_cross_hashed(
              indices=indices,
              values=values,
              shapes=shapes,
              dense_inputs=dense_inputs,
              num_buckets=num_buckets,
              salt=salt,
              strong_hash=strong_hash,
          )
          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 SparseCrossHashedOpTest obj's underlying member method code with example usage: obj.test_sparse_cross_hashed_empty_seed() without return types