message: Simplify saved_model/utils_test by using tf.sparse_placeholder() as a quick
  way of getting a SparseTensor of a particular shape.
diff: @@ -38,9 +38,7 @@ class UtilsTest(test.TestCase):
  self.assertEqual(1, x_tensor_info.tensor_shape.dim[0].size)
  def testBuildTensorInfoSparse(self):
  - x = sparse_tensor.SparseTensor(indices=[[3, 3], [4, 4], [5, 5]],
  - values=[103.0, 104.0, 105.0],
  - dense_shape=[42, 69])
  + x = array_ops.sparse_placeholder(dtypes.float32, [42, 69], name="x")
  x_tensor_info = utils.build_tensor_info(x)
  self.assertEqual(x.values.name,
  x_tensor_info.coo_sparse.values_tensor_name)
  