LCOV - code coverage report
Current view: top level - legacy/ascend910/algorithm/base/alg_template/temp_broadcast - broadcast_nhr.cc (source / functions) Coverage Total Hit
Test: coverage.info Lines: 0.0 % 92 0
Test Date: 2026-08-04 10:52:23 Functions: 0.0 % 6 0

            Line data    Source code
       1              : /**
       2              :  * Copyright (c) 2025 Huawei Technologies Co., Ltd.
       3              :  * This program is free software, you can redistribute it and/or modify it under the terms and conditions of
       4              :  * CANN Open Software License Agreement Version 2.0 (the "License").
       5              :  * Please refer to the License for details. You may not use this file except in compliance with the License.
       6              :  * THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
       7              :  * INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
       8              :  * See LICENSE in the root of the software repository for the full text of the License.
       9              :  */
      10              : 
      11              : #include "broadcast_nhr.h"
      12              : #include "alg_template_register.h"
      13              : 
      14              : namespace hccl {
      15            0 : BroadcastNHR::BroadcastNHR(const HcclDispatcher dispatcher)
      16            0 :     : NHRBase(dispatcher)
      17              : {
      18            0 : }
      19              : 
      20            0 : BroadcastNHR::~BroadcastNHR()
      21              : {
      22            0 : }
      23              : 
      24            0 : HcclResult BroadcastNHR::RunAsync(const u32 rank, const u32 rankSize,
      25              :     const std::vector<std::shared_ptr<Transport> > &links)
      26              : {
      27            0 :     CHK_SMART_PTR_NULL(dispatcher_);
      28            0 :     CHK_PTR_NULL(stream_.ptr());
      29            0 :     HCCL_INFO("[BroadcastNHR][RunAsync] run: rank[%u] totalrank[%u] count[%llu]", rank, rankSize, count_);
      30              : 
      31            0 :     if (rankSize == 1) {
      32            0 :         return HCCL_SUCCESS;
      33              :     }
      34              : 
      35            0 :     CHK_PRT_RET(links.size() < rankSize,
      36              :         HCCL_ERROR("[BroadcastNHR][RunAsync] rank[%u] linksize[%llu] is less than rank size", rank, links.size()),
      37              :         HCCL_E_INTERNAL);
      38              : 
      39            0 :     u32 unitSize = DataUnitSize(dataType_);
      40            0 :     CHK_PRT_RET(unitSize == 0, HCCL_ERROR("[BroadcastNHR][RunAsync] rank[%u] unit data size is zero", rank),
      41              :         HCCL_E_INTERNAL);
      42              : 
      43            0 :     DeviceMem srcMem = inputMem_.range(baseOffset_, count_ * unitSize);
      44            0 :     DeviceMem dstMem = outputMem_.range(baseOffset_, count_ * unitSize);
      45              : 
      46            0 :     if (inputMem_ != outputMem_ && rank == root_) {
      47            0 :         CHK_RET(HcclD2DMemcpyAsync(dispatcher_, dstMem, srcMem, stream_));
      48              :     }
      49              : 
      50              :     // 准备slice
      51            0 :     PrepareSlice(rank, rankSize);
      52              : 
      53              :     // scatter
      54            0 :     std::unique_ptr<AlgTemplateBase> tempAlgScatter = AlgTemplateRegistry::Instance().GetAlgTemplate(
      55            0 :         TemplateType::TEMPLATE_SCATTER_NHR, dispatcher_);
      56            0 :     CHK_SMART_PTR_NULL(tempAlgScatter);
      57            0 :     CHK_RET(tempAlgScatter->Prepare(true));
      58            0 :     tempAlgScatter->CloseBarrier();
      59            0 :     CHK_RET(tempAlgScatter->Prepare(srcMem, srcMem, srcMem, count_, dataType_, stream_,
      60              :         reductionOp_, root_, slices_, baseOffset_));
      61              : 
      62            0 :     CHK_RET(tempAlgScatter->RegisterProfiler(
      63              :         profilerInput_.planeID, profilerInput_.stage, profilerInput_.step, stream_));
      64            0 :     CHK_RET(tempAlgScatter->RunAsync(rank, rankSize, links));
      65              : 
      66              :     // allgather
      67            0 :     std::unique_ptr<AlgTemplateBase> tempAlgAllgather = AlgTemplateRegistry::Instance().GetAlgTemplate(
      68            0 :         TemplateType::TEMPLATE_ALL_GATHER_NHR, dispatcher_);
      69            0 :     CHK_SMART_PTR_NULL(tempAlgAllgather);
      70            0 :     CHK_RET(tempAlgAllgather->Prepare(true));
      71            0 :     CHK_RET(tempAlgAllgather->Prepare(srcMem, srcMem, srcMem, count_, dataType_, stream_,
      72              :         reductionOp_, root_, slices_, baseOffset_));
      73              : 
      74            0 :     CHK_RET(tempAlgAllgather->RegisterProfiler(
      75              :         profilerInput_.planeID, profilerInput_.stage, profilerInput_.step, stream_));
      76            0 :     CHK_RET(tempAlgAllgather->RunAsync(rank, rankSize, links));
      77              : 
      78            0 :     HCCL_INFO("[BroadcastNHR][RunAsync] finished: rank[%u] end count[%llu]", rank, count_);
      79            0 :     return HCCL_SUCCESS;
      80            0 : }
      81              : 
      82            0 : HcclResult BroadcastNHR::PrepareSlice(const u32 rank, const u32 rankSize)
      83              : {
      84            0 :     u32 unitSize = DataUnitSize(dataType_);
      85              : 
      86              :     //  所有的数据平均到每个rank上
      87            0 :     u64 sizeAvg = ((count_ + rankSize - 1) / rankSize) * unitSize;
      88            0 :     u64 sizePerSlice = AlgTemplateBase::RoundUpWithDivisor(sizeAvg, HCCL_MIN_SLICE_ALIGN);
      89            0 :     HCCL_DEBUG("[BroadcastNHR][PrepareSlice] bcast total count[%llu] sizeAverage[%llu] sizePerSlice after aligns[%llu]",
      90              :         count_, sizeAvg, sizePerSlice);
      91              : 
      92              :     // 准备slice
      93            0 :     slices_.resize(rankSize);
      94            0 :     u64 sizeResidue = count_ * unitSize;
      95            0 :     u64 sizePerRound = 0;
      96              : 
      97            0 :     for (u32 i = 0; i < rankSize; i++) {
      98            0 :         sizePerRound = (sizeResidue > sizePerSlice) ? sizePerSlice : sizeResidue;
      99            0 :         slices_[i].offset = count_ * unitSize - sizeResidue;
     100            0 :         slices_[i].size = sizePerRound;
     101              : 
     102            0 :         sizeResidue -= sizePerRound;
     103            0 :         HCCL_DEBUG("[BroadcastNHR][PrepareSlice] rank[%u] default slice[%u]: offset: [%llu] size[%llu]", rank, i,
     104              :             slices_[i].offset, slices_[i].size);
     105              :     }
     106            0 :     return HCCL_SUCCESS;
     107              : }
     108              : 
     109            0 : HcclResult BroadcastNHR::GetNslbAdjInfo(const u32 rank, const u32 rankSize,
     110              :                                        const std::vector<LINK> &links, AdjInfo& nslbAdjInfo)
     111              : {
     112            0 :     if (rankSize == 1) {
     113            0 :         return HCCL_SUCCESS;
     114              :     }
     115            0 :     if (links.size() < rankSize) {
     116            0 :         return HCCL_SUCCESS;
     117              :     }
     118            0 :     u32 nSteps  = 0;
     119            0 :     for(u32 temp = rankSize - 1; temp != 0; temp >>= 1, ++nSteps){}
     120              : 
     121            0 :     u32 deltaRoot = (rankSize - rank) % rankSize;
     122              :     // 先执行 scatter 流程
     123            0 :     for (u32 step = 0; step < nSteps; step++) {
     124            0 :         u32 deltaRankPair = 1 << step;
     125            0 :         u32 nRanks = 0;
     126            0 :         bool isPerfect = (rankSize & (rankSize - 1)) == 0;
     127            0 :         if (!isPerfect && step == nSteps - 1) {
     128            0 :             nRanks = rankSize - deltaRankPair;
     129              :         } else {
     130            0 :             nRanks = deltaRankPair;
     131              :         }
     132            0 :         if (deltaRoot >= nRanks) {
     133            0 :             continue;
     134              :         }
     135            0 :         u32 sendTo =(rank + rankSize - deltaRankPair) % rankSize;
     136            0 :         LINK linkRight = links[sendTo];
     137            0 :         CHK_SMART_PTR_NULL(linkRight);
     138              : 
     139            0 :         NslbDpAdjInfo adjInfoStep = {0};
     140            0 :         adjInfoStep.dstLocalRankId = linkRight->GetRemoteRank();
     141            0 :         adjInfoStep.phaseId = step + 1;
     142            0 :         adjInfoStep.rev = 0;
     143            0 :         nslbAdjInfo.nsAdjInfo.push_back(adjInfoStep);
     144            0 :     }
     145            0 :     u32 begin = nSteps;
     146              :     //后续执行AllGather的NHR流程
     147            0 :     for (u32 step = 0; step < nSteps; step++) {
     148            0 :         u32 deltaRank = 1 << (nSteps - 1 - step);
     149            0 :         u32 sendTo =(rank + deltaRank) % rankSize;
     150            0 :         LINK linkRight = links[sendTo];
     151            0 :         CHK_SMART_PTR_NULL(linkRight);
     152              : 
     153            0 :         NslbDpAdjInfo allGatherInfoStep = {0};
     154            0 :         allGatherInfoStep.dstLocalRankId = linkRight->GetRemoteRank();
     155            0 :         allGatherInfoStep.phaseId = step + begin + 1;
     156            0 :         allGatherInfoStep.rev = 0;
     157            0 :         nslbAdjInfo.nsAdjInfo.push_back(allGatherInfoStep);
     158            0 :     }
     159            0 :     nslbAdjInfo.dstRankNum = nslbAdjInfo.nsAdjInfo.size();
     160            0 :     return HCCL_SUCCESS;
     161              : }
     162              : REGISTER_TEMPLATE(TemplateType::TEMPLATE_BROADCAST_NHR, BroadcastNHR);
     163              : }  // namespace hccl
        

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