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_broadcast_plus_broadcast.h"
12 :
13 : namespace hccl {
14 0 : CollBroadcastPlusBroadcast::CollBroadcastPlusBroadcast(
15 0 : const HcclDispatcher dispatcher, std::unique_ptr<TopoMatcher>& topoMatcher)
16 0 : : CollBroadcastExecutor(dispatcher, topoMatcher)
17 0 : {}
18 :
19 0 : HcclResult CollBroadcastPlusBroadcast::CalcCommInfo(std::vector<LevelNSubCommTransport>& opTransport)
20 : {
21 0 : TransportMemType inputType = TransportMemType::RESERVED;
22 0 : TransportMemType outputType = TransportMemType::RESERVED;
23 0 : CHK_RET(CalcTransportMemType(inputType, outputType));
24 0 : CHK_RET(CalcLevel0CommInfo(inputType, outputType, opTransport));
25 0 : return HCCL_SUCCESS;
26 : }
27 :
28 0 : HcclResult CollBroadcastPlusBroadcast::CalcLevel0CommInfo(
29 : TransportMemType inputType, TransportMemType outputType, std::vector<LevelNSubCommTransport>& opTransport)
30 : {
31 0 : HCCL_INFO("[CollBroadcastPlusBroadcast][CalcLevel0CommInfo]tag[%s] start", tag_.c_str());
32 0 : CommParaInfo commParaLevel0(COMM_LEVEL0, CommType::COMM_TAG_MESH);
33 0 : CHK_RET(CalcCommPlaneInfo(tag_, commParaLevel0, opTransport[COMM_LEVEL0], inputType, outputType));
34 0 : HCCL_INFO("[CollBroadcastPlusBroadcast][CalcLevel0CommInfo]tag[%s] Calc MeshComm finish", tag_.c_str());
35 0 : return HCCL_SUCCESS;
36 0 : }
37 :
38 0 : HcclResult CollBroadcastPlusBroadcast::KernelRun(const OpParam& param, ExecMem& execMem)
39 : {
40 0 : HCCL_CONFIG_INFO(HCCL_ALG, "[CollBroadcastPlusBroadcast]310p userRank[%u] starts.", topoAttr_.userRank);
41 0 : CHK_RET(CheckCommSize(COMM_LEVEL0, COMM_INDEX_0 + 1));
42 0 : SubCommInfo level0CommInfo = GetSubCommInfo(COMM_LEVEL0, COMM_INDEX_0);
43 :
44 0 : bool rootIsDevPhyZero = false;
45 0 : if (topoAttr_.userRank == param.root && topoAttr_.devicePhyId == 0) {
46 0 : rootIsDevPhyZero = true;
47 : }
48 : // 第一步，如果root不在dev 0上，先将数据bcast到设备0上，在进行server间bcast，设备0调度网卡更快
49 0 : if (!rootIsDevPhyZero) {
50 0 : u32 rootRank = 0;
51 0 : CHK_RET(GetRankByUserRank(COMM_LEVEL0, COMM_INDEX_0, param.root, rootRank));
52 : std::unique_ptr<AlgTemplateBase> bCastRingInNode
53 0 : = AlgTemplateRegistry::Instance().GetAlgTemplate(TemplateType::TEMPLATE_BROADCAST_RING, dispatcher_);
54 0 : CHK_SMART_PTR_NULL(bCastRingInNode);
55 0 : CHK_RET(bCastRingInNode->Prepare(
56 : execMem.inputMem, execMem.outputMem, execMem.inputMem, execMem.count, param.DataDes.dataType, param.stream,
57 : HCCL_REDUCE_RESERVED, rootRank));
58 0 : CHK_RET(RunTemplate(bCastRingInNode, level0CommInfo));
59 0 : }
60 : // 第二步，进行server间bcast
61 0 : if (topoAttr_.devicePhyId == 0) {
62 0 : bool isUsedRegister = false;
63 0 : std::unique_ptr<AlgTemplateBase> broadcastTempAlg = nullptr;
64 0 : SubCommInfo level1CommInfo = GetSubCommInfo(COMM_LEVEL1, COMM_INDEX_0);
65 0 : u64 curSize = execMem.count * SIZE_TABLE[param.DataDes.dataType];
66 0 : if (algType_.algoLevel1 == AlgTypeLevel1::ALG_LEVEL1_RING) {
67 : broadcastTempAlg
68 0 : = AlgTemplateRegistry::Instance().GetAlgTemplate(TemplateType::TEMPLATE_BROADCAST_RING, dispatcher_);
69 0 : HCCL_INFO("broadcast ring: using ring algo inter-server.");
70 0 : } else if (algType_.algoLevel1 == AlgTypeLevel1::ALG_LEVEL1_NHR) {
71 0 : HCCL_DEBUG(
72 : "broadcast ring: curSize[%llu] deviceNumPerAggregation[%u] commLevel0Size[%u]", curSize,
73 : topoAttr_.deviceNumPerAggregation, level0CommInfo.localRankSize);
74 0 : if (curSize / topoAttr_.deviceNumPerAggregation <= NHR_BCAST_SMALL_SIZE) {
75 0 : broadcastTempAlg = AlgTemplateRegistry::Instance().GetAlgTemplate(
76 0 : TemplateType::TEMPLATE_BROADCAST_NHR_ONESHOT, dispatcher_);
77 : } else {
78 : broadcastTempAlg
79 0 : = AlgTemplateRegistry::Instance().GetAlgTemplate(TemplateType::TEMPLATE_BROADCAST_NHR, dispatcher_);
80 : }
81 0 : HCCL_INFO("broadcast ring: using nhr algo inter-server.");
82 0 : } else if (algType_.algoLevel1 == AlgTypeLevel1::ALG_LEVEL1_NHR_V1) {
83 0 : isUsedRegister = true;
84 : broadcastTempAlg
85 0 : = AlgTemplateRegistry::Instance().GetAlgTemplate(TemplateType::TEMPLATE_BROADCAST_NHR_V1, dispatcher_);
86 0 : HCCL_INFO("broadcast ring: using nhr_v1 algo inter-server.");
87 0 : } else if (algType_.algoLevel1 == AlgTypeLevel1::ALG_LEVEL1_NB) {
88 0 : const u32 level1RankSize = level1CommInfo.localRankSize;
89 0 : if (ShouldUseBinaryBroadcastOfNB(
90 0 : curSize / topoAttr_.deviceNumPerAggregation, level1RankSize, topoAttr_.userRankSize,
91 0 : topoAttr_.deviceNumPerAggregation)) {
92 0 : broadcastTempAlg = AlgTemplateRegistry::Instance().GetAlgTemplate(
93 0 : TemplateType::TEMPLATE_BROADCAST_NB_BINARY, dispatcher_);
94 : } else {
95 : broadcastTempAlg
96 0 : = AlgTemplateRegistry::Instance().GetAlgTemplate(TemplateType::TEMPLATE_BROADCAST_NB, dispatcher_);
97 : }
98 0 : HCCL_INFO("broadcast ring: using nonuniform-bruck algo inter-server.");
99 : } else {
100 0 : broadcastTempAlg = AlgTemplateRegistry::Instance().GetAlgTemplate(
101 0 : TemplateType::TEMPLATE_BROADCAST_RECURSIVE_HD, dispatcher_);
102 0 : HCCL_INFO("broadcast recursive hd: using halving-doubling algo inter-server.");
103 : }
104 0 : CHK_SMART_PTR_NULL(broadcastTempAlg);
105 : // 获取root所在的server的device0的userRank
106 0 : u32 level1RootUserRank = level1CommInfo.localRank;
107 0 : CHK_RET(CheckCommSize(COMM_LEVEL1, COMM_INDEX_0 + 1));
108 0 : u32 planeRoot = 0;
109 0 : CHK_RET(GetRankByUserRank(COMM_LEVEL1, COMM_INDEX_0, level1RootUserRank, planeRoot));
110 :
111 0 : if (isUsedRegister) {
112 0 : PrepareData prepareData;
113 0 : prepareData.inputMem = execMem.inputMem;
114 0 : prepareData.outputMem = execMem.outputMem;
115 0 : prepareData.scratchMem = execMem.outputMem;
116 0 : prepareData.count = execMem.count;
117 0 : prepareData.dataType = param.DataDes.dataType;
118 0 : prepareData.stream = param.stream;
119 0 : prepareData.reductionOp = HCCL_REDUCE_RESERVED;
120 0 : prepareData.root = planeRoot;
121 0 : prepareData.baseOffset = 0;
122 0 : CHK_RET(broadcastTempAlg->Prepare(prepareData));
123 0 : } else {
124 0 : CHK_RET(broadcastTempAlg->Prepare(
125 : execMem.inputMem, execMem.outputMem, execMem.outputMem, execMem.count, param.DataDes.dataType,
126 : param.stream, HCCL_REDUCE_RESERVED, planeRoot));
127 : }
128 :
129 0 : CHK_RET(RunTemplate(broadcastTempAlg, level1CommInfo));
130 0 : }
131 : // 第三步，执行server内broadcast（从设备0到设备1）
132 : std::unique_ptr<AlgTemplateBase> bcastTempAlg
133 0 : = AlgTemplateRegistry::Instance().GetAlgTemplate(TemplateType::TEMPLATE_BROADCAST_RING, dispatcher_);
134 0 : CHK_SMART_PTR_NULL(bcastTempAlg);
135 : // 获取本rank所在server上device0的UserRank
136 0 : u32 level0RootUserRank = level0CommInfo.localRank;
137 0 : u32 rootRank = 0;
138 0 : CHK_RET(GetRankByUserRank(COMM_LEVEL0, COMM_INDEX_0, level0RootUserRank, rootRank));
139 0 : CHK_RET(bcastTempAlg->Prepare(
140 : execMem.outputMem, execMem.outputMem, execMem.inputMem, execMem.count, param.DataDes.dataType, param.stream,
141 : HCCL_REDUCE_RESERVED, rootRank));
142 0 : CHK_RET(RunTemplate(bcastTempAlg, level0CommInfo));
143 :
144 0 : return HCCL_SUCCESS;
145 0 : }
146 :
147 : REGISTER_EXEC("BroadcastPlusBroadcast", BroadcastPlusBroadcast, CollBroadcastPlusBroadcast);
148 : } // namespace hccl
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