LCOV - code coverage report
Current view: top level - legacy/ascend910/algorithm/base/alg_template/temp_all_reduce - all_reduce_doubling.cc (source / functions) Coverage Total Hit
Test: coverage.info Lines: 0.0 % 50 0
Test Date: 2026-07-28 12:11:00 Functions: 0.0 % 7 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 <math.h>
      12              : #include "alg_template_register.h"
      13              : #include "all_reduce_doubling.h"
      14              : 
      15              : namespace hccl {
      16              : 
      17              : // Doubling算法实现AllReduce,只用于server内通信
      18            0 : AllReduceDoubling::AllReduceDoubling(const HcclDispatcher dispatcher) : AlgTemplateBase(dispatcher)
      19              : {
      20            0 : }
      21              : 
      22            0 : AllReduceDoubling::~AllReduceDoubling()
      23              : {
      24            0 : }
      25              : 
      26            0 : HcclResult AllReduceDoubling::Prepare(u64 reduceAttrBitMap, HcomCollOpInfo *opInfo)
      27              : {
      28            0 :     reduceAttr_ = reduceAttrBitMap;
      29            0 :     return HCCL_SUCCESS;
      30              : }
      31              : 
      32            0 : HcclResult AllReduceDoubling::RunAsync(const u32 rank, const u32 rankSize, const std::vector<LINK> &links)
      33              : {
      34            0 :     HCCL_INFO("[AllReduceDoubling] runAsync rank[%u] ranksize[%u] inputMem[%p] outputMem[%p] count[%llu]", \
      35              :         rank, rankSize, inputMem_.ptr(), outputMem_.ptr(), count_);
      36              : 
      37              :     // 基本的检查
      38            0 :     CHK_RET(SimpleCheck(rank, rankSize, links));
      39              : 
      40              :     // 判断rank_size == 1
      41            0 :     if (rankSize == 1) {
      42              :         // 对于Doubling,input和output必须是两块不同的内存
      43            0 :         CHK_RET(HcclD2DMemcpyAsync(dispatcher_, outputMem_, inputMem_, stream_));
      44            0 :         return HCCL_SUCCESS;
      45              :     }
      46              : 
      47              :     // 设置Slices
      48            0 :     if (slices_.size() != 0) {
      49            0 :         HCCL_WARNING("[AllReduceDoubling] slices_ will be not used in executor.");
      50              :     }
      51              : 
      52              :     // 执行算法
      53            0 :     CHK_RET(RunAllReduce(rank, rankSize, links));
      54              : 
      55            0 :     HCCL_INFO("AllReduceDoubling finished: rank[%u] ranksize[%u]", rank, rankSize);
      56            0 :     return HCCL_SUCCESS;
      57              : }
      58              : 
      59            0 : HcclResult AllReduceDoubling::SimpleCheck(const u32 rank, const u32 rankSize, const std::vector<LINK> &links)
      60              : {
      61              :     // 判断stream, dispatcher是否为空
      62            0 :     CHK_SMART_PTR_NULL(dispatcher_);
      63            0 :     CHK_PTR_NULL(stream_.ptr());
      64              : 
      65              :     // 判断Memory是否为空
      66            0 :     CHK_PRT_RET(!inputMem_, HCCL_ERROR("[AllReduceDoubling] rank[%u] inputmem is null", rank), HCCL_E_PTR);
      67            0 :     CHK_PRT_RET(!outputMem_, HCCL_ERROR("[AllReduceDoubling] rank[%u] outputmem is null", rank), HCCL_E_PTR);
      68              : 
      69              :     // 必须有两块memory
      70            0 :     CHK_PRT_RET(inputMem_ == outputMem_,
      71              :         HCCL_ERROR("[AllReduceDoubling] rank[%u] inputMem and outputMem should be different", rank), HCCL_E_PARA);
      72              : 
      73              :     // 判断links数量是否正确
      74            0 :     CHK_PRT_RET(links.size() < rankSize, HCCL_ERROR("[AllReduceDoubling] rank[%u] link size[%llu] is less than "
      75              :         "rank size[%u]", rank, links.size(), rankSize), HCCL_E_PARA);
      76              : 
      77              :     // 判断rankSize是否为2的幂次
      78            0 :     CHK_PRT_RET((rankSize & (rankSize - 1)) != 0, HCCL_ERROR("[AllReduceDoubling] rankSize must be power of 2, "
      79              :         "but get rankSize=%u", rankSize), HCCL_E_PARA);
      80            0 :     return HCCL_SUCCESS;
      81              : }
      82              : 
      83            0 : HcclResult AllReduceDoubling::RunAllReduce(const u32 rank, const u32 rankSize, const std::vector<LINK> &links)
      84              : {
      85            0 :     u64 totalSize = count_ * SIZE_TABLE[dataType_];
      86            0 :     DeviceMem cclInMem = inputMem_.range(0, totalSize);
      87            0 :     DeviceMem cclOutMem = outputMem_.range(0, totalSize);
      88              : 
      89            0 :     u32 nSteps = static_cast<u32>(log2(rankSize));
      90            0 :     for (u32 step = 0; step < nSteps; step++) {
      91              :         // 计算邻居并获取link
      92            0 :         u32 neighbor = rank ^ (1 << step);
      93            0 :         const LINK &link = links[neighbor];
      94            0 :         CHK_PTR_NULL(link);
      95              : 
      96              :         // 拷贝数据,避免读写冲突
      97            0 :         if (step == 0) {    // 把本端的cclIn拷到cclOut(cclIn是整个template的入口)
      98            0 :             CHK_RET(HcclD2DMemcpyAsync(dispatcher_, cclOutMem, cclInMem, stream_));
      99              :         } else {    // 把本端的cclOut拷到cclIn(cclOut是上一步的结果)
     100            0 :             CHK_RET(HcclD2DMemcpyAsync(dispatcher_, cclInMem, cclOutMem, stream_));
     101              :         }
     102              : 
     103              :         // Ack
     104            0 :         CHK_RET(link->TxAck(stream_));
     105            0 :         CHK_RET(link->RxAck(stream_));
     106              : 
     107              :         // 从对端的cclIn读到本端的cclOut
     108            0 :         void *remMemPtr = nullptr;
     109            0 :         CHK_RET(link->GetRemoteMem(UserMemType::INPUT_MEM, &remMemPtr));
     110            0 :         DeviceMem remoteCclInMem = DeviceMem::create(static_cast<u8 *>(remMemPtr), totalSize);
     111            0 :         CHK_RET(HcclReduceAsync(dispatcher_, remoteCclInMem.ptr(), count_, dataType_, reductionOp_,
     112              :             stream_, cclOutMem.ptr(), link->GetRemoteRank(), link->GetLinkType(), INLINE_REDUCE_BIT));
     113              : 
     114              :         // DataSignal
     115            0 :         CHK_RET(link->TxDataSignal(stream_));
     116            0 :         CHK_RET(link->RxDataSignal(stream_));
     117            0 :     }
     118            0 :     return HCCL_SUCCESS;
     119            0 : }
     120              : REGISTER_TEMPLATE(TemplateType::TEMPLATE_ALL_REDUCE_DOUBLING, AllReduceDoubling);
     121              : }  // ~~ namespace hccl
        

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