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 <ios>
12 : #include <iostream>
13 :
14 : #include "log.h"
15 :
16 : #include "ccu_temp_reduce_mesh_1D_two_shot_mem2mem.h"
17 : #include "alg_data_trans_wrapper.h"
18 : #include "ccu_instruction_reduce_mesh1d_two_shot_mem2mem.h"
19 : #include "ccu_rank_group.h"
20 : #include "ccu_ctx_creator_registry.h"
21 : #include "ccu_context_reduce_mesh1d_two_shot_mem2mem.h"
22 :
23 : namespace Hccl {
24 :
25 : static CcuInstRegister<CcuContextReduceMeshTwoShotMem2Mem1D>
26 : registrarReduce(CcuInstType::CCU_REDUCE_MESH_1D_TWO_SHOT_MEM2MEM);
27 :
28 0 : CcuTempReduceMeshTwoShotMem2Mem1D::CcuTempReduceMeshTwoShotMem2Mem1D(
29 : const RankId virtualRank, const u32 tempRankSize, const std::vector<std::vector<RankId>>& tempVTopo,
30 0 : const std::map<RankId, u32>& tempVirtRankMap)
31 0 : : CcuAlgTemplateBase(virtualRank, tempRankSize, tempVTopo, tempVirtRankMap)
32 0 : {}
33 :
34 0 : CcuTempReduceMeshTwoShotMem2Mem1D::~CcuTempReduceMeshTwoShotMem2Mem1D() {}
35 :
36 0 : void CcuTempReduceMeshTwoShotMem2Mem1D::InitReduceInfo(const ReduceOp& reduceOp, const DataType& dataType)
37 : {
38 0 : reduceOp_ = reduceOp;
39 0 : dataType_ = dataType;
40 0 : }
41 :
42 0 : HcclResult CcuTempReduceMeshTwoShotMem2Mem1D::CalcSlice(const u64 dataSize, RankSliceInfo& sliceInfoVec)
43 : {
44 0 : std::vector<SliceInfo> tmp(tempVTopo_.size());
45 0 : sliceInfoVec.resize(tempRankSize_, tmp);
46 :
47 0 : u64 unitAllignSize = DataTypeSizeGet(dataType_);
48 0 : u64 chunkSize = RoundUp(dataSize, (tempRankSize_ * unitAllignSize)) * unitAllignSize;
49 0 : HCCL_INFO(
50 : "chunkSize[%llu], dataSize[%llu], tempRankSize_[%u], unitAllignSize[%llu]", chunkSize, dataSize, tempRankSize_,
51 : unitAllignSize);
52 0 : u64 accumOff = 0;
53 0 : for (u32 rankIdx = 0; rankIdx < tempRankSize_; rankIdx++) {
54 0 : u64 currChunkSize = ((dataSize - accumOff) > chunkSize) ? chunkSize : (dataSize - accumOff);
55 0 : SliceInfo slice = {accumOff, currChunkSize};
56 0 : sliceInfoVec[rankIdx][0] = slice;
57 0 : accumOff += currChunkSize;
58 : }
59 :
60 0 : CHK_PRT_RET(
61 : (sliceInfoVec[tempRankSize_ - 1][0].offset + sliceInfoVec[tempRankSize_ - 1][0].size != dataSize),
62 : HCCL_ERROR(
63 : "[CcuTempReduceMeshTwoShotMem2Mem1D] chunkSize:[%llu], Rank:[%d], SliceInfo calculation error!", chunkSize,
64 : myRank_),
65 : HcclResult::HCCL_E_INTERNAL);
66 0 : return HcclResult::HCCL_SUCCESS;
67 0 : }
68 :
69 0 : HcclResult CcuTempReduceMeshTwoShotMem2Mem1D::CalcRes(AlgTempResReq& tempResReq)
70 : {
71 0 : tempResReq.queNum = 1;
72 0 : tempResReq.streamNum = tempResReq.queNum + 1; // 多申请一个 stream 给 ccuInsGroup
73 0 : HCCL_INFO("[CalcRes] tempResReq.queNum[%u]", tempResReq.queNum);
74 0 : CHK_RET(CalcResLinksMesh(myRank_, tempRankSize_, tempVTopo_, linkNumBtwPeers_, tempResReq));
75 0 : return HcclResult::HCCL_SUCCESS;
76 : }
77 :
78 0 : HcclResult CcuTempReduceMeshTwoShotMem2Mem1D::GenExtIns(
79 : const TempFuncs& tempFuncs, const TemplateDataParams& templateDataParams, const ResLinks& tempLinks,
80 : std::vector<InsQuePtr>& tempInsQues)
81 : {
82 0 : buffInfo_ = templateDataParams.buffInfo;
83 0 : opMode_ = tempFuncs.opMode;
84 0 : CcuInstructionReduceMeshTwoShotMem2Mem1D ccuIns;
85 0 : std::vector<uint64_t> dimSize;
86 0 : dimSize.push_back(tempRankSize_);
87 0 : RankSliceInfo sliceInfoVec;
88 0 : CHK_RET(CalcSlice(templateDataParams.sliceSize, sliceInfoVec));
89 :
90 0 : uint32_t rankId = tempVirtRankMap_[myRank_];
91 0 : uint32_t rootId = tempVirtRankMap_[rootId_];
92 :
93 0 : const CollAlgOperator& op = op_;
94 0 : const std::vector<std::vector<RankId>>& tempVTopo = tempVTopo_;
95 0 : uint64_t inputAddr = BufferTypeToAddr(buffInfo_.inBuffType) + buffInfo_.inBuffBaseOff;
96 0 : uint64_t outputAddr = BufferTypeToAddr(buffInfo_.outBuffType) + buffInfo_.outBuffBaseOff;
97 0 : uint64_t scratchAddr = BufferTypeToAddr(buffInfo_.scratBuffType) + buffInfo_.scratchBuffBaseOff;
98 : uint64_t token;
99 0 : CHK_RET(GetToken(op_, token));
100 0 : uint64_t normalSliceSize = sliceInfoVec[0][0].size;
101 0 : uint64_t lastSliceSize = sliceInfoVec[tempRankSize_ - 1][0].size;
102 0 : uint64_t mySliceSize = sliceInfoVec[rankId][0].size;
103 :
104 0 : ccuIns.Init(
105 : rankId, rootId, op, tempVTopo, inputAddr, outputAddr, scratchAddr, token, normalSliceSize, lastSliceSize,
106 : mySliceSize);
107 :
108 0 : HCCL_INFO(
109 : "[CcuTempReduceMeshTwoShotMem2Mem1D] Run Init: rankId[%u], rootId[%u], inputAddr[%llu], outputAddr[%llu],"
110 : "scratchAddr[%llu], normalSliceSize[%llu], lastSliceSize[%llu], mySliceSize[%llu]",
111 : rankId, rootId, inputAddr, outputAddr, scratchAddr, normalSliceSize, lastSliceSize, mySliceSize);
112 :
113 0 : std::vector<LinkData> links;
114 0 : for (auto& pair : tempLinks) {
115 0 : if (pair.second.empty()) {
116 0 : continue;
117 : }
118 0 : links.push_back(pair.second[0]);
119 : }
120 0 : HCCL_DEBUG("[CcuTempReduceMeshTwoShotMem2Mem1D] links.size[%zu]", links.size());
121 0 : ccuIns.SetLinks(links);
122 :
123 0 : RankGroup rankGroup;
124 0 : for (auto& peer : tempVTopo_[0]) {
125 0 : rankGroup.AddRank(peer);
126 : }
127 0 : u32 cntCkeNum = 4;
128 0 : ccuIns.SetCntCkeNum(cntCkeNum);
129 0 : ccuIns.SetRankGroup(rankGroup);
130 0 : HCCL_DEBUG("CcuTempReduceMeshTwoShotMem2Mem1D is [%s]", ccuIns.Describe().c_str());
131 0 : tempInsQues[0]->Append(std::move(std::make_unique<CcuInstructionReduceMeshTwoShotMem2Mem1D>(ccuIns)));
132 :
133 0 : return HcclResult::HCCL_SUCCESS;
134 0 : }
135 :
136 0 : HcclResult CcuTempReduceMeshTwoShotMem2Mem1D::GenExtIns(
137 : const RankGraph* rankGraph, const TemplateInfo& tmpInfo, const std::vector<InsQuePtr>& tempInsQues) const
138 : {
139 : (void)rankGraph;
140 : (void)tmpInfo;
141 : (void)tempInsQues;
142 : // 框架解析aicpuIns,算法的algCompnnetLite在device侧直接调用Run()
143 0 : return HcclResult::HCCL_SUCCESS;
144 : }
145 :
146 : } // namespace Hccl
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