#!/bin/bash

# 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.

set -e
export FLAGS_START_PORT=35789

#local_ip=`ip route get 1 | awk '{print $NF;exit}'`
file_0="fleet_nproc_0.check_0.log"

function test_nproc_0(){
    gpus=$1
    rm -f ${file_0}
    distributed_args="--log_dir=testlog --nproc_per_node=1"
    # nproc_per_node=1, each with 2 gpus
    python -m paddle.distributed.launch ${distributed_args} nproc_process.py  fleet_nproc_0

    str0="selected_gpus:${gpus} worker_endpoints:127.0.0.1:35789 trainers_num:1 current_endpoint:127.0.0.1:35789 trainer_id:0"
    if grep -q "$str0" "$file_0"; then
        echo "find trainer 0"
    else
        echo "not find trainer 0"
        exit -1
    fi
}

# unittest1:gpu
if python detected_gpu.py ; then
    echo "begin ut 1:"
    export CUDA_VISIBLE_DEVICES=0,1
    test_nproc_0 "0,1"
fi

# unittest2:cpu
if ! python detected_gpu.py ; then
    echo "begin ut 2:"
    export CUDA_VISIBLE_DEVICES=""
    test_nproc_0 ""
fi


function test_nproc_1_gpu(){
    file_0="fleet_nproc_1.check_0.log"
    file_1="fleet_nproc_1.check_1.log"
    rm -f ${file_0} ${file_1}

    distributed_args="--log_dir=testlog --nproc_per_node=2"
    python -m paddle.distributed.launch ${distributed_args} nproc_process.py  fleet_nproc_1

    str0="selected_gpus:0 worker_endpoints:127.0.0.1:35789,127.0.0.1:35790 trainers_num:2 current_endpoint:127.0.0.1:35789 trainer_id:0"
    if grep -q "$str0" "$file_0"; then
        echo "find trainer 0"
    else
        echo "not find trainer 0"
        exit -1
    fi

    str1="selected_gpus:1 worker_endpoints:127.0.0.1:35789,127.0.0.1:35790 trainers_num:2 current_endpoint:127.0.0.1:35790 trainer_id:1"
    if grep -q "$str1" "$file_1"; then
        echo "find trainer 1"
    else
        echo "not find trainer 1"
        exit -1
    fi
}

# unittest3: nproc_per_node=2, each with 1 gpus
if python detected_gpu.py ; then
    echo "begin ut 3:"
    export CUDA_VISIBLE_DEVICES=0,1
    test_nproc_1_gpu
fi

function test_nproc_1_cpu(){
    file_0="fleet_nproc_1.check_0.log"
    file_1="fleet_nproc_1.check_1.log"
    rm -f ${file_0} ${file_1}

    distributed_args="--log_dir=testlog --nproc_per_node=2"
    python -m paddle.distributed.launch ${distributed_args} nproc_process.py  fleet_nproc_1

    str0="selected_gpus: worker_endpoints:127.0.0.1:35789,127.0.0.1:35790 trainers_num:2 current_endpoint:127.0.0.1:35789 trainer_id:0"
    if grep -q "$str0" "$file_0"; then
        echo "find trainer 0"
    else
        echo "not find trainer 0"
        exit -1
    fi

    str1="selected_gpus: worker_endpoints:127.0.0.1:35789,127.0.0.1:35790 trainers_num:2 current_endpoint:127.0.0.1:35790 trainer_id:1"
    if grep -q "$str1" "$file_1"; then
        echo "find trainer 1"
    else
        echo "not find trainer 1"
        exit -1
    fi
}

# unittest4: nproc_per_node=2, cpu
if ! python detected_gpu.py ; then
    echo "begin ut 4:"
    export CUDA_VISIBLE_DEVICES=""
    test_nproc_1_cpu
fi
