text: #   Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  from __future__ import print_function
  import os
  import unittest
  import numpy as np
  import tempfile
  import shutil
  from op_test import OpTest, randomize_probability
  import paddle
  import paddle.fluid as fluid
  import paddle.fluid.layers as layers
  import paddle.distributed.fleet.base.role_maker as role_maker
  from paddle.distributed.fleet import fleet
  from test_dist_sparse_tensor_load_sgd import TestSparseLoadProgram
  
  
  class TestSparseLoadProgramMomentum(TestSparseLoadProgram):
      """ 
      Test Sparse load operator.
      """
  
      def test_server_init(self):
          scope, train_program, startup_program, loss = self.net()
          with fluid.scope_guard(scope):
              with fluid.program_guard(train_program, startup_program):
                  optimizer = fluid.optimizer.SGD(1e-3)
                  optimizer = fleet.distributed_optimizer(optimizer,
                                                          self.strategy)
                  optimizer.minimize(loss)
                  fleet.init_server()
  
  
  if __name__ == "__main__":
      paddle.enable_static()
      unittest.main()
  