# Copyright (c) 2023 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 test_collective_api_base import TestCollectiveAPIRunnerBase, runtime_main

import paddle
from paddle import fluid

paddle.enable_static()


class TestCollectiveReduceScatterAPI(TestCollectiveAPIRunnerBase):
    def __init__(self):
        self.global_ring_id = 0

    def get_model(self, main_prog, startup_program, rank):
        pass

    def get_model_new(
        self,
        main_prog,
        startup_program,
        rank,
        dtype='float32',
        reduce_type=None,
    ):
        with fluid.program_guard(main_prog, startup_program):
            tindata = paddle.static.data(
                name="tindata", shape=[10, 1000], dtype=dtype
            )
            tindata.desc.set_need_check_feed(False)
            # toutdata = layers.fill_constant(shape=[5, 1000], dtype=dtype, value=1.0)
            toutdata = paddle.static.data(
                name="toutdata", shape=[5, 1000], dtype=dtype
            )
            paddle.distributed.reduce_scatter(toutdata, tindata)
            return [toutdata]


if __name__ == "__main__":
    runtime_main(TestCollectiveReduceScatterAPI, "reduce_scatter")
