mindspore2022/mindspore/ccsrc/kernel/cpu/allgather_cpu_kernel.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 "kernel/cpu/allgather_cpu_kernel.h"
#include "device/cpu/cpu_device_address.h"
#include "device/cpu/mpi/mpi_adapter.h"
#include "ir/primitive.h"
#include "utils/log_adapter.h"

namespace mindspore {
namespace kernel {
namespace {
constexpr auto kRanksGroup = "group";
constexpr auto kAllGatherInputNum = 1;
}  // namespace

AllGatherCPUKernel::AllGatherCPUKernel() : input_data_number_(0) {}

void AllGatherCPUKernel::InitKernel(const CNodePtr &kernel_node) {
  size_t input_num = AnfAlgo::GetInputTensorNum(kernel_node);
  if (input_num != kAllGatherInputNum) {
    MS_LOG(EXCEPTION) << "allgather input num:" << input_num;
  }
  for (size_t i = 0; i < input_num; ++i) {
    auto shape = AnfAlgo::GetPrevNodeOutputInferShape(kernel_node, i);
    size_t count = 1;
    for (size_t j = 0; j < shape.size(); j++) {
      count *= IntToSize(shape[j]);
    }
    input_data_number_ += count;
  }

  auto ranks_group = AnfAlgo::GetCNodePrimitive(kernel_node)->GetAttr(kRanksGroup);
  if (ranks_group != nullptr) {
    ranks_group_ = GetValue<std::vector<int>>(ranks_group);
  } else {
    MS_LOG(EXCEPTION) << "Miss attribute " << kRanksGroup;
  }
}

bool AllGatherCPUKernel::Launch(const std::vector<kernel::AddressPtr> &inputs,
                                const std::vector<kernel::AddressPtr> & /*workspace*/,
                                const std::vector<kernel::AddressPtr> &outputs) {
  auto input_addr = reinterpret_cast<float *>(inputs[0]->addr);
  auto output_addr = reinterpret_cast<float *>(outputs[0]->addr);

  return device::cpu::MPIAdapter::Instance().AllGather(input_addr, output_addr, ranks_group_, input_data_number_);
}
}  // namespace kernel
}  // namespace mindspore