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 "coll_all_gather_v_mesh_graph_pipeline_executor.h"
      12              : 
      13              : namespace hccl {
      14            0 : CollAllGatherVMeshGraphPipelineExecutor::CollAllGatherVMeshGraphPipelineExecutor(
      15            0 :     const HcclDispatcher dispatcher, std::unique_ptr<TopoMatcher>& topoMatcher)
      16            0 :     : CollAllGatherVExecutor(dispatcher, topoMatcher)
      17            0 : {}
      18              : 
      19            0 : HcclResult CollAllGatherVMeshGraphPipelineExecutor::CalcStreamNum(u32& streamNum)
      20              : {
      21            0 :     u32 totalStreamNum = topoAttr_.deviceNumPerAggregation + 1U;
      22            0 :     streamNum = totalStreamNum - 1U;
      23            0 :     HCCL_INFO(
      24              :         "[CollAllGatherVMeshGraphPipelineExecutor][CalcStreamNum] tag[%s] streamNum[%u]", tag_.c_str(), streamNum);
      25            0 :     return HCCL_SUCCESS;
      26              : }
      27              : 
      28            0 : HcclResult CollAllGatherVMeshGraphPipelineExecutor::CalcCommInfo(std::vector<LevelNSubCommTransport>& opTransport)
      29              : {
      30            0 :     TransportMemType inputType = TransportMemType::RESERVED;
      31            0 :     TransportMemType outputType = TransportMemType::RESERVED;
      32            0 :     CHK_RET(CalcTransportMemType(inputType, outputType));
      33            0 :     CHK_RET(CalcLevel0CommInfo(inputType, outputType, opTransport));
      34            0 :     CHK_RET(CalcLevel1CommInfo(inputType, outputType, opTransport));
      35            0 :     return HCCL_SUCCESS;
      36              : }
      37              : 
      38              : HcclResult
      39            0 : CollAllGatherVMeshGraphPipelineExecutor::CalcTransportMemType(TransportMemType& inputType, TransportMemType& outputType)
      40              : {
      41            0 :     inputType = TransportMemType::PARAM_INPUT;
      42            0 :     outputType = TransportMemType::PARAM_OUTPUT;
      43            0 :     HCCL_INFO(
      44              :         "[CollAllGatherVMeshGraphPipelineExecutor][CalcTransportMemType]tag[%s] inputType[%d], outputType[%d]",
      45              :         tag_.c_str(), inputType, outputType);
      46            0 :     return HCCL_SUCCESS;
      47              : }
      48              : 
      49            0 : HcclResult CollAllGatherVMeshGraphPipelineExecutor::CalcLevel0CommInfo(
      50              :     TransportMemType inputType, TransportMemType outputType, std::vector<LevelNSubCommTransport>& opTransport)
      51              : {
      52            0 :     CommParaInfo commParaInfo(COMM_LEVEL0, CommType::COMM_TAG_MESH);
      53            0 :     commParaInfo.meshSinglePlane = true;
      54            0 :     CHK_RET(CalcCommPlaneInfo(tag_, commParaInfo, opTransport[COMM_LEVEL0], inputType, outputType));
      55            0 :     return HCCL_SUCCESS;
      56            0 : }
      57              : 
      58              : // PipeLine模式下使用Ring算法
      59            0 : HcclResult CollAllGatherVMeshGraphPipelineExecutor::CalcLevel1CommInfo(
      60              :     TransportMemType inputType, TransportMemType outputType, std::vector<LevelNSubCommTransport>& opTransport)
      61              : {
      62            0 :     CommParaInfo commParaInfo(COMM_LEVEL1, CommType::COMM_TAG_RING_INNER);
      63            0 :     CHK_RET(CalcCommPlaneInfo(tag_, commParaInfo, opTransport[COMM_LEVEL1], inputType, outputType));
      64            0 :     return HCCL_SUCCESS;
      65            0 : }
      66              : 
      67            0 : HcclResult CollAllGatherVMeshGraphPipelineExecutor::KernelRun(const OpParam& param, ExecMem& execMem)
      68              : {
      69            0 :     HCCL_CONFIG_INFO(
      70              :         HCCL_ALG, "[CollAllGatherVMeshGraphPipelineExecutor][KernelRun]AllGatherMeshGraphPipelineExecutor begins.");
      71              : 
      72              :     // 先获取 comm level0 和 comm level1 的value
      73            0 :     CHK_RET(CheckCommSize(COMM_LEVEL0, COMM_INDEX_0 + 1));
      74            0 :     SubCommInfo level0CommInfo = GetSubCommInfo(COMM_LEVEL0, COMM_INDEX_0);
      75            0 :     u32 commIndex = level0CommInfo.localRank;
      76            0 :     CHK_RET(CheckCommSize(COMM_LEVEL1, commIndex + 1));
      77            0 :     SubCommInfo level1CommInfo = GetSubCommInfo(COMM_LEVEL1, commIndex);
      78              : 
      79              :     // allgatherv 计算slice，数据分成ranksize份，每份的起始偏移和大小
      80            0 :     u32 perDataSize = SIZE_TABLE[param.VDataDes.dataType];
      81            0 :     std::vector<Slice> outputSlices;
      82            0 :     const auto counts = static_cast<u64*>(param.VDataDes.counts);
      83            0 :     const auto displs = static_cast<u64*>(param.VDataDes.displs);
      84            0 :     for (u32 rank = 0; rank < topoAttr_.userRankSize; ++rank) {
      85            0 :         Slice userslice;
      86            0 :         userslice.offset = displs[rank] * perDataSize;
      87            0 :         userslice.size = counts[rank] * perDataSize;
      88            0 :         outputSlices.emplace_back(std::move(userslice));
      89              :     }
      90              : 
      91              :     // 激活从流
      92            0 :     CHK_RET(ActiveSlaveStreams(param.stream));
      93              : 
      94            0 :     HcomCollOpInfo opInfo
      95            0 :         = {"", execMem.inputPtr, execMem.outputPtr, 0, param.VDataDes.dataType, 0, HCCL_REDUCE_RESERVED, 0};
      96              : 
      97            0 :     std::unique_ptr<AlgTemplateBase> tempAlg = AlgTemplateRegistry::Instance().GetAlgTemplate(
      98            0 :         TemplateType::TEMPLATE_ALL_GATHER_V_GRAPH_PIPELINE, dispatcher_);
      99            0 :     CHK_SMART_PTR_NULL(tempAlg);
     100            0 :     CHK_RET(tempAlg->Prepare(
     101              :         &opInfo, topoAttr_.userRank, execMem.count, execMem.inputMem, execMem.outputMem, level0CommInfo, level1CommInfo,
     102              :         const_cast<Stream&>(param.stream), algResResp_->slaveStreams, algResResp_->notifiesMain,
     103              :         algResResp_->notifiesAux, outputSlices));
     104            0 :     CHK_RET(tempAlg->RunAsync());
     105            0 :     return HCCL_SUCCESS;
     106            0 : }
     107              : 
     108              : REGISTER_EXEC("AllGatherVMeshGraphPipelineExecutor", AllGatherVGraphPipeline, CollAllGatherVMeshGraphPipelineExecutor);
     109              : 
     110              : } // namespace hccl