# Copyright (c) 2021 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.

import os
import unittest

from test_dist_base import TestDistBase

import paddle

paddle.enable_static()
flag_name = os.path.splitext(__file__)[0]


class TestFleetMetaOptimizerPrecision(TestDistBase):
    def _setup_config(self):
        self._sync_mode = True
        self._use_reduce = False
        self._use_reader_alloc = False
        self._nccl2_mode = True
        self._nccl2_reduce_layer = True
        self._use_fleet_api = True
        self._use_fleet_api_20 = True

    def test_dist_train(self):
        from paddle import base

        if base.core.is_compiled_with_cuda():
            self.check_with_place(
                "dist_fleet_raw_program_optimizer.py",
                delta=1e-5,
                check_error_log=True,
                log_name=flag_name,
            )


class TestFleetMetaOptimizerPrecisionWithSync(TestFleetMetaOptimizerPrecision):
    def need_envs(self):
        return {'FLAGS_sync_before_allreduce': '1'}

    def test_dist_train(self):
        from paddle import base

        if base.core.is_compiled_with_cuda():
            self.check_with_place(
                "dist_fleet_raw_program_optimizer.py",
                delta=1e-5,
                check_error_log=True,
                log_name=flag_name + 'with_sync',
                need_envs=self.need_envs(),
            )


if __name__ == '__main__':
    unittest.main()
