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