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_mem2mem.h"
17 : #include "alg_data_trans_wrapper.h"
18 : #include "ccu_instruction_reduce_mesh1d_mem2mem.h"
19 : #include "ccu_rank_group.h"
20 : #include "ccu_ctx_creator_registry.h"
21 : #include "ccu_context_reduce_mesh1d_mem2mem.h"
22 :
23 : namespace Hccl {
24 :
25 : static CcuInstRegister<CcuContextReduceMeshMem2Mem1D> registrarReduce(CcuInstType::CCU_REDUCE_MESH_1D_MEM2MEM);
26 :
27 0 : CcuTempReduceMeshMem2Mem1D::CcuTempReduceMeshMem2Mem1D(const RankId virtualRank, const u32 tempRankSize,
28 : const std::vector<std::vector<RankId>> &tempVTopo,
29 0 : const std::map<RankId, u32> &tempVirtRankMap)
30 0 : : CcuAlgTemplateBase(virtualRank, tempRankSize, tempVTopo, tempVirtRankMap)
31 : {
32 0 : }
33 :
34 0 : CcuTempReduceMeshMem2Mem1D::~CcuTempReduceMeshMem2Mem1D()
35 : {
36 0 : }
37 :
38 0 : void CcuTempReduceMeshMem2Mem1D::InitReduceInfo(const ReduceOp &reduceOp, const DataType &dataType)
39 : {
40 0 : reduceOp_ = reduceOp;
41 0 : dataType_ = dataType;
42 0 : }
43 :
44 0 : HcclResult CcuTempReduceMeshMem2Mem1D::CalcRes(AlgTempResReq &tempResReq)
45 : {
46 0 : tempResReq.queNum = 1;
47 0 : tempResReq.streamNum = tempResReq.queNum + 1; // 多申请一个 stream 给 ccuInsGroup
48 0 : HCCL_INFO("[CalcRes] tempResReq.queNum[%u]", tempResReq.queNum);
49 0 : CHK_RET(CalcResLinksMesh(myRank_, tempRankSize_, tempVTopo_, linkNumBtwPeers_, tempResReq));
50 0 : return HcclResult::HCCL_SUCCESS;
51 : }
52 :
53 0 : HcclResult CcuTempReduceMeshMem2Mem1D::GenExtIns(const TempFuncs &tempFuncs,
54 : const TemplateDataParams &templateDataParams,
55 : const ResLinks &tempLinks, std::vector<InsQuePtr> &tempInsQues)
56 : {
57 0 : CHK_PRT_RET(tempInsQues.empty(),
58 : HCCL_ERROR("[CcuTempReduceMeshMem2Mem1D] empty queue"), HcclResult::HCCL_E_INTERNAL);
59 0 : CHK_PTR_NULL(tempInsQues[0]);
60 :
61 0 : buffInfo_ = templateDataParams.buffInfo;
62 0 : opMode_ = tempFuncs.opMode;
63 0 : CcuInstructionReduceMeshMem2Mem1D ccuIns;
64 0 : std::vector<uint64_t> dimSize;
65 0 : dimSize.push_back(tempRankSize_);
66 :
67 0 : uint32_t rankId = myRank_;
68 0 : uint32_t rootId = tempVirtRankMap_[rootId_];
69 :
70 0 : const CollAlgOperator &op = op_;
71 0 : const std::vector<std::vector<RankId>> &tempVTopo = tempVTopo_;
72 : uint64_t token;
73 0 : CHK_RET(GetToken(op_, token));
74 0 : uint64_t inputAddr = BufferTypeToAddr(buffInfo_.inBuffType) + buffInfo_.inBuffBaseOff;
75 0 : uint64_t outputAddr = BufferTypeToAddr(buffInfo_.outBuffType) + buffInfo_.outBuffBaseOff;
76 0 : uint64_t repeatNum = templateDataParams.repeatNum;
77 0 : uint64_t inputRepeatStride = templateDataParams.inputRepeatStride;
78 0 : uint64_t outputRepeatStride = templateDataParams.outputRepeatStride;
79 0 : uint64_t normalSliceSize = templateDataParams.sliceSize;
80 0 : uint64_t lastSliceSize = templateDataParams.tailSize;
81 0 : uint64_t repeatNumVar = UINT64_MAX - repeatNum;
82 :
83 : // 数据切分为sliceNum块,当数据量不能均匀切分时,后面smallDataSliceNum个数据块比前面bigDataSliceNum个数据块每块少1个数据
84 0 : uint64_t sliceNum = tempRankSize_ - 1;
85 0 : uint64_t sliceSize = templateDataParams.sliceSize; // 获取本rank需要处理的数据量
86 0 : uint64_t sliceCount = sliceSize / DataTypeSizeGet(op_.dataType);
87 :
88 0 : uint64_t bigDataSliceNum = sliceCount % sliceNum;
89 0 : uint64_t bigDataSliceSize = (sliceCount / sliceNum + 1) * DataTypeSizeGet(op_.dataType);
90 0 : uint64_t smallDataSliceNum = sliceNum - sliceCount % sliceNum;
91 0 : uint64_t smallDataSliceSize = sliceCount / sliceNum * DataTypeSizeGet(op_.dataType);
92 :
93 0 : ccuIns.Init(tempVirtRankMap_[myRank_], rootId, op, tempVTopo, inputAddr, outputAddr, token, bigDataSliceNum, bigDataSliceSize,
94 : smallDataSliceNum, smallDataSliceSize, inputRepeatStride, outputRepeatStride,
95 : normalSliceSize, lastSliceSize, repeatNumVar);
96 :
97 0 : HCCL_INFO("[CcuTempReduceMeshMem2Mem1D] Run Init: rankId[%u], rootId[%u], inputAddr[%llu], outputAddr[%llu],"
98 : "bigDataSliceNum[%llu], bigDataSliceSize[%llu], smallDataSliceNum[%llu], smallDataSliceSize[%llu],"
99 : "inputRepeatStride[%llu], outputRepeatStride[%llu], normalSliceSize[%llu], lastSliceSize[%llu], repeatNumVar[%llu]",
100 : rankId, rootId, inputAddr, outputAddr, bigDataSliceNum, bigDataSliceSize, smallDataSliceNum, smallDataSliceSize,
101 : inputRepeatStride, outputRepeatStride, normalSliceSize, lastSliceSize, repeatNumVar);
102 :
103 0 : std::vector<LinkData> links;
104 0 : for (auto &pair : tempLinks) {
105 0 : if (pair.second.empty()) {
106 0 : continue;
107 : }
108 0 : links.push_back(pair.second[0]);
109 : }
110 0 : HCCL_DEBUG("[CcuTempReduceMeshMem2Mem1D] links.size[%zu]", links.size());
111 0 : ccuIns.SetLinks(links);
112 :
113 0 : RankGroup rankGroup;
114 0 : for (auto &peer : tempVTopo_[0]) {
115 0 : rankGroup.AddRank(peer);
116 : }
117 0 : u32 cntCkeNum = 4;
118 0 : ccuIns.SetCntCkeNum(cntCkeNum);
119 0 : ccuIns.SetRankGroup(rankGroup);
120 0 : HCCL_DEBUG("CcuTempReduceMeshMem2Mem1D is [%s]", ccuIns.Describe().c_str());
121 0 : tempInsQues[0]->Append(std::move(std::make_unique<CcuInstructionReduceMeshMem2Mem1D>(ccuIns)));
122 :
123 0 : return HcclResult::HCCL_SUCCESS;
124 0 : }
125 :
126 0 : HcclResult CcuTempReduceMeshMem2Mem1D::GenExtIns(const RankGraph *rankGraph,
127 : const TemplateInfo &tmpInfo,
128 : const std::vector<InsQuePtr> &tempInsQues) const
129 : {
130 : (void)rankGraph;
131 : (void)tmpInfo;
132 : (void)tempInsQues;
133 : // 框架解析aicpuIns,算法的algCompnnetLite在device侧直接调用Run()
134 0 : return HcclResult::HCCL_SUCCESS;
135 : }
136 :
137 : } // namespace Hccl
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