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_reduce_scatter_hccs_sio_executor.h"
12 : #include "alg_template_register.h"
13 :
14 : namespace hccl {
15 :
16 0 : CollReduceScatterHccsSioExecutor::CollReduceScatterHccsSioExecutor(
17 0 : const HcclDispatcher dispatcher, std::unique_ptr<TopoMatcher>& topoMatcher)
18 0 : : CollReduceScatterExecutor(dispatcher, topoMatcher)
19 : {
20 0 : desc_.isZeroCopy = false;
21 0 : desc_.deterministic = 1;
22 0 : DMAReduceFlag_ = true;
23 0 : CCLMemSlice_ = false;
24 0 : }
25 :
26 0 : u64 CollReduceScatterHccsSioExecutor::CalcLoopMaxCount(const u32 unitSize)
27 : {
28 : // 中转内存单次最多能够接受的output count
29 0 : u64 maxCountPerLoop = inCCLbufferSize_ / HCCL_MIN_SLICE_ALIGN * HCCL_MIN_SLICE_ALIGN / unitSize;
30 0 : HCCL_INFO(
31 : "[CollReduceScatterHccsSioExecutor][CalcLoopMaxCount]"
32 : "using default maxCountPerLoop[%llu] as CCLBuffSize / (userRankSize * unitSize).",
33 : maxCountPerLoop);
34 0 : return maxCountPerLoop;
35 : }
36 :
37 0 : HcclResult CollReduceScatterHccsSioExecutor::CalcStreamNum(u32& streamNum)
38 : {
39 0 : u32 totalStreamNum = topoAttr_.deviceNumPerAggregation + 1U;
40 0 : streamNum = totalStreamNum - 1U;
41 0 : HCCL_INFO("[CollReduceScatterHccsSioExecutor][CalcStreamNum] tag[%s] streamNum[%u]", tag_.c_str(), streamNum);
42 0 : return HCCL_SUCCESS;
43 : }
44 :
45 0 : HcclResult CollReduceScatterHccsSioExecutor::CalcCommInfo(std::vector<LevelNSubCommTransport>& opTransport)
46 : {
47 0 : TransportMemType inputType = TransportMemType::RESERVED;
48 0 : TransportMemType outputType = TransportMemType::RESERVED;
49 0 : CHK_RET(CalcTransportMemType(inputType, outputType));
50 0 : CHK_RET(CalcLevel0CommInfo(inputType, outputType, opTransport));
51 0 : return HCCL_SUCCESS;
52 : }
53 :
54 : HcclResult
55 0 : CollReduceScatterHccsSioExecutor::CalcTransportMemType(TransportMemType& inputType, TransportMemType& outputType)
56 : {
57 0 : if (workflowMode_ == HcclWorkflowMode::HCCL_WORKFLOW_MODE_OP_BASE) {
58 0 : inputType = TransportMemType::CCL_INPUT;
59 0 : outputType = TransportMemType::CCL_OUTPUT;
60 : } else {
61 0 : inputType = TransportMemType::PARAM_INPUT;
62 0 : outputType = TransportMemType::PARAM_OUTPUT;
63 : }
64 0 : HCCL_INFO(
65 : "[CollReduceScatterHccsSioExecutor][CalcTransportMemType] tag[%s] inputType[%d],"
66 : " outputType[%d]",
67 : tag_.c_str(), inputType, outputType);
68 0 : return HCCL_SUCCESS;
69 : }
70 :
71 0 : HcclResult CollReduceScatterHccsSioExecutor::CalcLevel0CommInfo(
72 : TransportMemType inputType, TransportMemType outputType, std::vector<LevelNSubCommTransport>& opTransport)
73 : {
74 0 : CommParaInfo commParaLevel0(COMM_LEVEL0, CommType::COMM_TAG_HCCS_PLUS_SIO);
75 0 : CHK_RET(CalcCommPlaneInfo(tag_, commParaLevel0, opTransport[COMM_LEVEL0], inputType, outputType));
76 0 : LevelNSubCommTransport& commTransportLevel0 = opTransport[COMM_LEVEL0];
77 0 : for (u32 subCommIndex = 0; subCommIndex < commTransportLevel0.size(); subCommIndex++) {
78 0 : for (auto& transportRequest :
79 0 : commTransportLevel0[subCommIndex].transportRequests) { // 两个transport分别设置ishccs为false、true
80 : // 根据子通信索引设置isHccs的值
81 0 : transportRequest.linkType = (subCommIndex == 0) ? TransportLinkType::SIO : TransportLinkType::HCCS;
82 0 : HCCL_INFO(
83 : "[CollReduceScatterHccsSioExecutor][CalcLevel0CommInfo] set extral notifyNum[%u]",
84 : transportRequest.notifyNum);
85 : }
86 : }
87 0 : return HCCL_SUCCESS;
88 0 : }
89 :
90 0 : HcclResult CollReduceScatterHccsSioExecutor::KernelRun(const OpParam& param, ExecMem& execMem)
91 : {
92 0 : HCCL_CONFIG_INFO(HCCL_ALG, "[%s] userRank[%u] starts.", __func__, topoAttr_.userRank);
93 0 : HcclDataType dataType = param.DataDes.dataType;
94 0 : HcomCollOpInfo opInfo = {"",
95 0 : execMem.inputPtr,
96 0 : execMem.outputPtr,
97 0 : param.DataDes.count,
98 0 : param.DataDes.dataType,
99 0 : param.root,
100 0 : param.reduceType,
101 0 : 0};
102 :
103 0 : CHK_RET(CheckCommSize(COMM_LEVEL0, COMM_INDEX_0 + 1));
104 0 : SubCommInfo subCommInfoHccs = GetSubCommInfo(COMM_LEVEL0, COMM_INDEX_0);
105 0 : CHK_RET(CheckCommSize(COMM_LEVEL0, COMM_INDEX_1 + 1));
106 0 : SubCommInfo subCommInfoSio = GetSubCommInfo(COMM_LEVEL0, COMM_INDEX_1);
107 :
108 0 : u64 reduceAttr = GetReduceAttr(execMem.inputMem, execMem.outputMem, dataType, param.reduceType);
109 : std::unique_ptr<AlgTemplateBase> TempAlg
110 0 : = AlgTemplateRegistry::Instance().GetAlgTemplate(TemplateType::TEMPLATE_REDUCESCATTER_HCCS_SIO, dispatcher_);
111 0 : HCCL_CONFIG_INFO(HCCL_ALG, "[%s] Run TEMPLATE_REDUCESCATTER_HCCS_SIO in COMM_LEVEL0", __func__);
112 0 : CHK_SMART_PTR_NULL(TempAlg);
113 :
114 0 : CHK_RET(TempAlg->Prepare(
115 : execMem.inputMem, execMem.outputMem, execMem.scratchMem, execMem.count, dataType, param.stream,
116 : param.reduceType, LEVEL0_BRIDGE_RANK_ID, 0, reduceAttr, algResResp_->slaveStreams, algResResp_->notifiesMain,
117 : algResResp_->notifiesAux, topoAttr_.userRank, subCommInfoHccs, subCommInfoSio, &opInfo));
118 :
119 0 : CHK_RET(TempAlg->RegisterProfiler(
120 : (subCommInfoHccs.localRankSize << PROF_RANKSIZE_OFFSET_OF_PLANEID) + subCommInfoHccs.localRank, PROF_STAGE_0,
121 : HCCL_EXEC_STEP_NOT_SET, param.stream));
122 :
123 0 : CHK_RET(RunTemplate(TempAlg, subCommInfoHccs));
124 :
125 0 : return HCCL_SUCCESS;
126 0 : }
127 :
128 : REGISTER_EXEC("ReduceScatterHccsSioExecutor", ReduceScatterHccsSio, CollReduceScatterHccsSioExecutor);
129 : } // namespace hccl
|