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 "hccl_aiv_utils.h"
12 : #include "aiv_ins.h"
13 : #include "aiv_temp_reduce_scatter_mesh_1D.h"
14 : #include "executor_utils.h"
15 :
16 : namespace Hccl {
17 :
18 0 : AivTempReduceScatterMesh1D::AivTempReduceScatterMesh1D(
19 : const RankId virtualRank, const u32 tempRankSize, const std::vector<std::vector<RankId>>& tempVTopo,
20 0 : const std::map<RankId, u32>& tempVirtRankMap)
21 0 : : AivAlgTemplateBase(virtualRank, tempRankSize, tempVTopo, tempVirtRankMap)
22 0 : {}
23 :
24 0 : AivTempReduceScatterMesh1D::~AivTempReduceScatterMesh1D() {}
25 :
26 0 : u32 AivTempReduceScatterMesh1D::CalcScratchMultiple(BufferType inBuffType, BufferType outBuffType)
27 : {
28 : (void)inBuffType;
29 : (void)outBuffType;
30 : // 小数据量下,这里是2*rankSize基本不影响,大数据量下,需要2倍的cclBuffer去并发读
31 0 : return 2 * tempRankSize_;
32 : }
33 :
34 0 : HcclResult AivTempReduceScatterMesh1D::CalcRes(AlgTempResReq& tempResReq)
35 : {
36 0 : tempResReq.queNum = 1;
37 0 : tempResReq.streamNum = tempResReq.queNum;
38 0 : HCCL_INFO("[CalcRes] tempResReq.queNum[%u]", tempResReq.queNum);
39 0 : CHK_RET(CalcResLinksMesh(myRank_, tempRankSize_, tempVTopo_, linkNumBtwPeers_, tempResReq));
40 0 : return HcclResult::HCCL_SUCCESS;
41 : }
42 :
43 0 : HcclResult AivTempReduceScatterMesh1D::CalNumBlocks(u32& numBlocks, u64 dataSize, u32 numBlocksLimit)
44 : {
45 0 : numBlocks = numBlocksLimit;
46 0 : if (dataSize < REDUCE_SCATTER_SMALL_COUNT_512KB) { // 小数据量,走原来极致低时延的流程
47 0 : constexpr uint32_t stepNum = 2;
48 0 : if (numBlocks > stepNum * tempRankSize_) {
49 0 : numBlocks = stepNum * tempRankSize_;
50 : }
51 : }
52 0 : HCCL_INFO("[AivTempReduceScatterMesh1D] Actually use core num[%u]", numBlocks);
53 0 : return HcclResult::HCCL_SUCCESS;
54 : }
55 :
56 0 : HcclResult AivTempReduceScatterMesh1D::GenExtIns(
57 : const TempFuncs& tempFuncs, const TemplateDataParams& templateDataParams, const ResLinks& tempLinks,
58 : std::vector<InsQuePtr>& tempInsQues)
59 : {
60 0 : HCCL_INFO("[AivTempReduceScatterMesh1D] GenExtIns start");
61 0 : CHK_PRT_RET(
62 : tempInsQues.empty(), HCCL_ERROR("[AivTempReduceScatterMesh1D] empty queue"), HcclResult::HCCL_E_INTERNAL);
63 0 : CHK_PTR_NULL(tempInsQues[0]);
64 0 : std::vector<LinkData> allLinks;
65 0 : for (auto iter = tempLinks.begin(); iter != tempLinks.end(); ++iter) {
66 0 : allLinks.emplace_back(iter->second.at(0));
67 : }
68 :
69 0 : IncSliceId(); // 自动增长sliceId,传入aivTag
70 :
71 0 : AivOpArgs aivReduceScatterArgs;
72 0 : aivReduceScatterArgs.cmdType = HcclCMDType::HCCL_CMD_REDUCE_SCATTER;
73 0 : aivReduceScatterArgs.input = templateDataParams.buffInfo.inBuffBaseOff;
74 0 : aivReduceScatterArgs.output = templateDataParams.buffInfo.outBuffBaseOff;
75 0 : aivReduceScatterArgs.rank = u32(myRank_);
76 0 : aivReduceScatterArgs.rankSize = tempRankSize_;
77 0 : aivReduceScatterArgs.count = templateDataParams.sliceSize / DataTypeSizeGet(dataType_);
78 0 : aivReduceScatterArgs.dataType = dataType_;
79 0 : aivReduceScatterArgs.op = reduceOp_;
80 0 : aivReduceScatterArgs.root = root_;
81 0 : aivReduceScatterArgs.aivTag = sliceId_; // 传入aivTag,Lauch时重新组装为aivTag
82 0 : aivReduceScatterArgs.isOpBase = (tempFuncs.opMode == OpMode::OPBASE);
83 0 : aivReduceScatterArgs.xRankSize = tempVTopo_[0].size();
84 0 : aivReduceScatterArgs.yRankSize = 0;
85 0 : aivReduceScatterArgs.zRankSize = 0;
86 0 : for (u32 i = 0; i < tempVTopo_[0].size(); i++) {
87 0 : aivReduceScatterArgs.topo_[i] = tempVTopo_[0][i];
88 : }
89 0 : if (tempVTopo_.size() > 1) {
90 0 : aivReduceScatterArgs.yRankSize = tempVTopo_[1].size();
91 0 : for (u32 i = 0; i < tempVTopo_[1].size(); i++) {
92 0 : aivReduceScatterArgs.topo_[TOPO_LEN_Y_OFFSET + i] = tempVTopo_[1][i];
93 : }
94 : }
95 0 : if (tempVTopo_.size() == MAX_DIM_NUM) {
96 0 : aivReduceScatterArgs.zRankSize = tempVTopo_[MAX_DIM_NUM - 1].size();
97 0 : for (u32 i = 0; i < tempVTopo_[MAX_DIM_NUM - 1].size(); i++) {
98 0 : aivReduceScatterArgs.topo_[TOPO_LEN_Z_OFFSET + i] = tempVTopo_[MAX_DIM_NUM - 1][i];
99 : }
100 : }
101 :
102 0 : u64 dataSize = op_.dataCount * DataTypeSizeGet(dataType_);
103 0 : CHK_RET(CalNumBlocks(aivReduceScatterArgs.numBlocks, dataSize, op_.numBlocksLimit));
104 :
105 0 : aivReduceScatterArgs.inputSliceStride = templateDataParams.inputSliceStride;
106 0 : aivReduceScatterArgs.outputSliceStride = templateDataParams.outputSliceStride;
107 0 : aivReduceScatterArgs.repeatNum = templateDataParams.repeatNum;
108 0 : aivReduceScatterArgs.inputRepeatStride = templateDataParams.inputRepeatStride;
109 0 : aivReduceScatterArgs.outputRepeatStride = templateDataParams.outputRepeatStride;
110 :
111 : std::unique_ptr<Instruction> aivInsReduceScatterMesh1D
112 0 : = std::make_unique<AivInstruction>(allLinks, aivReduceScatterArgs);
113 :
114 0 : tempInsQues[0]->Append(std::move(aivInsReduceScatterMesh1D));
115 :
116 0 : HCCL_INFO("[AivTempReduceScatterMesh1D] GenExtIns finished");
117 0 : return HcclResult::HCCL_SUCCESS;
118 0 : }
119 :
120 : } // namespace Hccl
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