mindspore2022/mindspore/ccsrc/device/cpu/mpi/mpi_adapter.cc

/**
 * Copyright 2020 Huawei Technologies Co., Ltd
 *
 * 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.
 */

#include "device/cpu/mpi/mpi_adapter.h"
#include <algorithm>
#include "utils/log_adapter.h"

namespace mindspore {
namespace device {
namespace cpu {
namespace {
MPI_Op GetMpiOp(const std::string &op_type) {
  if (op_type == "sum") {
    return MPI_SUM;
  } else if (op_type == "max") {
    return MPI_MAX;
  } else if (op_type == "min") {
    return MPI_MIN;
  } else if (op_type == "prod") {
    return MPI_PROD;
  }
  MS_LOG(EXCEPTION) << "unsupport op_type:" << op_type;
  return MPI_SUM;
}
}  // namespace

MPIAdapter::MPIAdapter() : rank_id_(0), rank_size_(0), comm_group_world_(MPI_GROUP_NULL) { Init(); }

MPIAdapter::~MPIAdapter() {
  for (auto iter = ranks_group_.begin(); iter != ranks_group_.end(); ++iter) {
    MPI_Group_free(&iter->second);
  }
  if (comm_group_world_ != MPI_GROUP_NULL) {
    MPI_Group_free(&comm_group_world_);
  }
  int finalized;
  MPI_Finalized(&finalized);
  if (finalized == 0) {
    MPI_Finalize();
  }
}

MPIAdapter &MPIAdapter::Instance() {
  static MPIAdapter instance;
  return instance;
}

int MPIAdapter::GetRankId() const { return rank_id_; }

void MPIAdapter::Init() {
  static bool init = false;
  if (init) {
    return;
  }
  int init_flag = 0;
  if (MPI_Initialized(&init_flag) != MPI_SUCCESS) {
    MS_LOG(EXCEPTION) << "Check mpi initialized fail!";
  }
  if (init_flag == 0) {
    auto ret = MPI_Init(nullptr, nullptr);
    if (ret != MPI_SUCCESS) {
      MS_LOG(EXCEPTION) << "Failed to init mpi!";
    }
  }

  MPI_Comm_group(MPI_COMM_WORLD, &comm_group_world_);
  if (comm_group_world_ == MPI_GROUP_NULL) {
    MS_LOG(EXCEPTION) << "comm_group_world_ init fail!";
  }
  auto ret = MPI_Comm_rank(MPI_COMM_WORLD, &rank_id_);
  if (ret != MPI_SUCCESS) {
    MS_LOG(EXCEPTION) << "Failed to init mpi rank id!";
  }

  ret = MPI_Comm_size(MPI_COMM_WORLD, &rank_size_);
  if (ret != MPI_SUCCESS) {
    MS_LOG(EXCEPTION) << "Failed to init mpi rank size!rankid:" << rank_id_;
  }
  init = true;
}

MPI_Group MPIAdapter::AddGroup(const std::vector<int> &ranks) {
  if (ranks.size() > static_cast<size_t>(rank_size_) || ranks.empty()) {
    MS_LOG(EXCEPTION) << "input rank size: " << ranks.size() << ", max rank size: " << rank_size_;
  }

  if (std::find(ranks.begin(), ranks.end(), rank_id_) == ranks.end()) {
    MS_LOG(ERROR) << "rankid:" << rank_id_ << " is not in the input group.";
    return MPI_GROUP_NULL;
  }
  std::lock_guard<std::mutex> lock(group_mutex_);
  auto iter = ranks_group_.find(ranks);
  if (iter != ranks_group_.end()) {
    return iter->second;
  }
  const auto ranks_size = ranks.size();
  std::vector<int> ranks_input(ranks_size, 0);
  for (size_t i = 0; i < ranks_size; ++i) {
    ranks_input[i] = ranks[i];
  }

  MPI_Group group = MPI_GROUP_NULL;
  MPI_Group_incl(comm_group_world_, ranks.size(), ranks_input.data(), &group);
  if (group == MPI_GROUP_NULL) {
    MS_LOG(EXCEPTION) << "create mpi group fail!rankid:" << rank_id_;
  }

  ranks_group_[ranks] = group;
  MS_LOG(INFO) << "rank:" << rank_id_ << " add group:" << group;
  return group;
}

bool MPIAdapter::ReduceScatter(float *input, float *output, const std::vector<int> &ranks_group, size_t data_num,
                               const std::string &op_type) {
  if (ranks_group.empty()) {
    MS_LOG(ERROR) << "input rank group is empty!";
    return false;
  }

  auto group = AddGroup(ranks_group);
  if (group == MPI_GROUP_NULL) {
    MS_LOG(EXCEPTION) << "Get mpi group fail!rankid:" << rank_id_;
  }
  MPI_Comm comm;
  MPI_Comm_create_group(MPI_COMM_WORLD, group, 0, &comm);
  if (comm == MPI_COMM_NULL) {
    MS_LOG(EXCEPTION) << "create mpi comm fail!rankid:" << rank_id_;
  }
  std::vector<int> receive_count(ranks_group.size(), 0);
  for (size_t i = 0; i < ranks_group.size(); ++i) {
    receive_count[i] = data_num;
  }

  auto op = GetMpiOp(op_type);
  auto ret = MPI_Reduce_scatter(input, output, receive_count.data(), MPI_FLOAT, op, comm);
  bool result = true;
  if (ret != MPI_SUCCESS) {
    MS_LOG(ERROR) << "mpi reduce_scatter fail!ret = " << ret << ", rankid:" << rank_id_;
    result = false;
  }

  ret = MPI_Comm_free(&comm);
  if (ret != MPI_SUCCESS) {
    MS_LOG(WARNING) << "mpi comm free fail! ret = " << ret << ", rankid:" << rank_id_;
  }
  return result;
}

bool MPIAdapter::AllGather(float *input, float *output, const std::vector<int> &ranks_group, size_t data_num) {
  if (ranks_group.empty()) {
    MS_LOG(ERROR) << "input rank group is empty!";
    return false;
  }
  auto group = AddGroup(ranks_group);
  if (group == MPI_GROUP_NULL) {
    MS_LOG(EXCEPTION) << "Get mpi group fail! rankid:" << rank_id_;
  }
  MPI_Comm comm;
  MPI_Comm_create_group(MPI_COMM_WORLD, group, 0, &comm);
  if (comm == MPI_COMM_NULL) {
    MS_LOG(EXCEPTION) << "create mpi comm fail! rankid:" << rank_id_;
  }

  auto ret = MPI_Allgather(input, data_num, MPI_FLOAT, output, data_num, MPI_FLOAT, comm);
  bool result = true;
  if (ret != MPI_SUCCESS) {
    MS_LOG(ERROR) << "mpi allgater fail!ret = " << ret << ", rankid:" << rank_id_;
    result = false;
  }
  ret = MPI_Comm_free(&comm);
  if (ret != MPI_SUCCESS) {
    MS_LOG(WARNING) << "mpi comm free fail!ret = " << ret << ",rankid:" << rank_id_;
  }
  return result;
}
}  // namespace cpu
}  // namespace device
}  // namespace mindspore