# Copyright (c) 2018 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 numpy as np
import argparse
import os
import sys
import signal
import time
from contextlib import closing
from six import string_types
import math
import paddle
import paddle.fluid as fluid
import paddle.fluid.profiler as profiler
import paddle.fluid.unique_name as nameGen
from paddle.fluid import core
import unittest
from multiprocessing import Process
import paddle.fluid.layers as layers
from functools import reduce
from test_collective_base import TestCollectiveRunnerBase, runtime_main

paddle.enable_static()


class TestCollectiveReduceScatter(TestCollectiveRunnerBase):

    def __init__(self):
        self.global_ring_id = 0

    def get_model(self, main_prog, startup_program):
        ring_id = 0
        nranks = 2
        with fluid.program_guard(main_prog, startup_program):
            tindata = layers.data(name="tindata",
                                  shape=[10, 1000],
                                  dtype='float32')
            toutdata = fluid.layers.collective._c_reducescatter(tindata, nranks)
            toutdata = fluid.layers.collective._c_sync_comm_stream(toutdata, 0)
            return toutdata


if __name__ == "__main__":
    runtime_main(TestCollectiveReduceScatter, "reducescatter", 0)
