forked from huawei/mindspore2022
63 lines
2.3 KiB
C++
63 lines
2.3 KiB
C++
/**
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* Copyright 2020 Huawei Technologies Co., Ltd
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "kernel/cpu/allgather_cpu_kernel.h"
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#include "device/cpu/cpu_device_address.h"
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#include "device/cpu/mpi/mpi_adapter.h"
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#include "ir/primitive.h"
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#include "utils/log_adapter.h"
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namespace mindspore {
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namespace kernel {
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namespace {
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constexpr auto kRanksGroup = "group";
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constexpr auto kAllGatherInputNum = 1;
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} // namespace
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AllGatherCPUKernel::AllGatherCPUKernel() : input_data_number_(0) {}
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void AllGatherCPUKernel::InitKernel(const CNodePtr &kernel_node) {
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size_t input_num = AnfAlgo::GetInputTensorNum(kernel_node);
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if (input_num != kAllGatherInputNum) {
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MS_LOG(EXCEPTION) << "allgather input num:" << input_num;
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}
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for (size_t i = 0; i < input_num; ++i) {
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auto shape = AnfAlgo::GetPrevNodeOutputInferShape(kernel_node, i);
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size_t count = 1;
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for (size_t j = 0; j < shape.size(); j++) {
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count *= IntToSize(shape[j]);
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}
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input_data_number_ += count;
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}
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auto ranks_group = AnfAlgo::GetCNodePrimitive(kernel_node)->GetAttr(kRanksGroup);
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if (ranks_group != nullptr) {
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ranks_group_ = GetValue<std::vector<int>>(ranks_group);
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} else {
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MS_LOG(EXCEPTION) << "Miss attribute " << kRanksGroup;
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}
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}
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bool AllGatherCPUKernel::Launch(const std::vector<kernel::AddressPtr> &inputs,
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const std::vector<kernel::AddressPtr> & /*workspace*/,
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const std::vector<kernel::AddressPtr> &outputs) {
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auto input_addr = reinterpret_cast<float *>(inputs[0]->addr);
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auto output_addr = reinterpret_cast<float *>(outputs[0]->addr);
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return device::cpu::MPIAdapter::Instance().AllGather(input_addr, output_addr, ranks_group_, input_data_number_);
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}
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} // namespace kernel
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} // namespace mindspore
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