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_all_gather_mesh_opbase_executor.h"
12 :
13 : namespace hccl {
14 0 : CollAllGatherMeshOpbaseExecutor::CollAllGatherMeshOpbaseExecutor(
15 0 : const HcclDispatcher dispatcher, std::unique_ptr<TopoMatcher>& topoMatcher)
16 0 : : CollAllGatherExecutor(dispatcher, topoMatcher)
17 : {
18 0 : DMAReduceFlag_ = true;
19 0 : }
20 :
21 0 : HcclResult CollAllGatherMeshOpbaseExecutor::CalcStreamNum(u32& streamNum)
22 : {
23 0 : u32 totalStreamNum = topoAttr_.deviceNumPerAggregation;
24 0 : streamNum = totalStreamNum - 1U;
25 0 : HCCL_INFO("[CollAllGatherMeshOpbaseExecutor][CalcStreamNum] tag[%s] streamNum[%u]", tag_.c_str(), streamNum);
26 0 : return HCCL_SUCCESS;
27 : }
28 :
29 0 : HcclResult CollAllGatherMeshOpbaseExecutor::CalcCommInfo(std::vector<LevelNSubCommTransport>& opTransport)
30 : {
31 0 : TransportMemType inputType = TransportMemType::RESERVED;
32 0 : TransportMemType outputType = TransportMemType::RESERVED;
33 0 : CHK_RET(CalcTransportMemType(inputType, outputType));
34 0 : CHK_RET(CalcLevel0CommInfo(inputType, outputType, opTransport));
35 0 : return HCCL_SUCCESS;
36 : }
37 :
38 : HcclResult
39 0 : CollAllGatherMeshOpbaseExecutor::CalcTransportMemType(TransportMemType& inputType, TransportMemType& outputType)
40 : {
41 0 : if (workflowMode_ == HcclWorkflowMode::HCCL_WORKFLOW_MODE_OP_BASE) {
42 0 : inputType = TransportMemType::CCL_INPUT;
43 0 : outputType = TransportMemType::CCL_OUTPUT;
44 : } else {
45 0 : inputType = TransportMemType::PARAM_INPUT;
46 0 : outputType = TransportMemType::PARAM_OUTPUT;
47 : }
48 0 : HCCL_INFO(
49 : "[CollAllGatherMeshOpbaseExecutor][CalcTransportMemType] tag[%s] inputType[%d], outputType[%d]", tag_.c_str(),
50 : inputType, outputType);
51 0 : return HCCL_SUCCESS;
52 : }
53 :
54 0 : HcclResult CollAllGatherMeshOpbaseExecutor::CalcLevel0CommInfo(
55 : TransportMemType inputType, TransportMemType outputType, std::vector<LevelNSubCommTransport>& opTransport)
56 : {
57 0 : CommParaInfo commParaLevel0(COMM_LEVEL0, CommType::COMM_TAG_MESH);
58 0 : CHK_RET(CalcCommPlaneInfo(tag_, commParaLevel0, opTransport[COMM_LEVEL0], inputType, outputType));
59 0 : return HCCL_SUCCESS;
60 0 : }
61 :
62 0 : u64 CollAllGatherMeshOpbaseExecutor::CalcLoopMaxCount(const u64 cclBuffSize, const u32 unitSize)
63 : {
64 0 : u64 maxCountPerLoop
65 0 : = (cclBuffSize - HCCL_MIN_SLICE_ALIGN_910B) / HCCL_MIN_SLICE_ALIGN * HCCL_MIN_SLICE_ALIGN / unitSize;
66 0 : return maxCountPerLoop;
67 : }
68 :
69 0 : bool CollAllGatherMeshOpbaseExecutor::IsHugeData(const u64 curSize)
70 : {
71 : // 该算法只涉及mesh内,不对RDMA多qp做强制刷新
72 0 : bool hugeData = curSize > SDMA_SEND_MAX_SIZE;
73 0 : return hugeData;
74 : }
75 :
76 0 : bool CollAllGatherMeshOpbaseExecutor::IsSmallData([[maybe_unused]] const u64 size)
77 : {
78 0 : return topoAttr_.deviceType == DevType::DEV_TYPE_910_93;
79 : }
80 :
81 0 : HcclResult CollAllGatherMeshOpbaseExecutor::KernelRun(const OpParam& param, ExecMem& execMem)
82 : {
83 0 : HCCL_CONFIG_INFO(HCCL_ALG, "[CollAllGatherMeshOpbaseExecutor] AllGather KernelRun");
84 0 : u8* curInputPtr = static_cast<u8*>(execMem.inputPtr);
85 0 : u8* curOutputPtr = static_cast<u8*>(execMem.outputPtr);
86 0 : CHK_PTR_NULL(curInputPtr);
87 0 : CHK_PTR_NULL(curOutputPtr);
88 :
89 : // 获取子通信域信息
90 0 : CHK_RET(CheckCommSize(COMM_LEVEL0, COMM_INDEX_0 + 1));
91 0 : SubCommInfo level0CommInfo = GetSubCommInfo(COMM_LEVEL0, COMM_INDEX_0);
92 :
93 0 : u64 inputMemSize = execMem.inputMem.size();
94 0 : u64 baseOffset = 0;
95 0 : std::vector<Slice> dataSegsSlice; // 数据分成ranksize份,每份的起始偏移和大小
96 :
97 0 : CHK_RET(ActiveSlaveStreams(param.stream));
98 :
99 : // 抽取当前用于多环AllGather 的output内存数据
100 0 : DeviceMem currentOutputMem = execMem.outputMem.range(baseOffset, inputMemSize); // 减少dma out大小
101 0 : CHK_SMART_PTR_NULL(currentOutputMem);
102 :
103 : // DMA消减场景,打包opInfo
104 0 : HcomCollOpInfo opInfo = {
105 0 : "", execMem.inputPtr, execMem.outputPtr, param.DataDes.count, param.DataDes.dataType, 0, HCCL_REDUCE_RESERVED,
106 0 : 0};
107 :
108 : std::unique_ptr<AlgTemplateBase> level0TempAlg
109 0 : = AlgTemplateRegistry::Instance().GetAlgTemplate(TemplateType::TEMPLATE_ALL_GATHER_MESH_DIRECT, dispatcher_);
110 0 : CHK_SMART_PTR_NULL(level0TempAlg);
111 0 : CHK_RET(level0TempAlg->Prepare(
112 : algResResp_->slaveStreams, algResResp_->notifiesMain, algResResp_->notifiesAux, topoAttr_.userRank, &opInfo,
113 : level0CommInfo.localRank, level0CommInfo.localRankSize));
114 0 : CHK_RET(level0TempAlg->Prepare(
115 : currentOutputMem, currentOutputMem, execMem.inputMem, execMem.count, param.DataDes.dataType, param.stream,
116 : HCCL_REDUCE_RESERVED, LEVEL0_BRIDGE_RANK_ID, dataSegsSlice, baseOffset));
117 :
118 0 : u32 rankSize = level0CommInfo.localRankSize;
119 0 : CHK_RET(level0TempAlg->RegisterProfiler(
120 : (rankSize << PROF_RANKSIZE_OFFSET_OF_PLANEID) + level0CommInfo.localRank, PROF_STAGE_1, HCCL_EXEC_STEP_NOT_SET,
121 : param.stream));
122 :
123 0 : CHK_RET(RunTemplate(level0TempAlg, level0CommInfo));
124 :
125 0 : HCCL_INFO("AllGather mesh level0 run success");
126 0 : return HCCL_SUCCESS;
127 0 : }
128 :
129 : REGISTER_EXEC("AllGatherMeshOpbaseExecutor", AllGatherOpbase, CollAllGatherMeshOpbaseExecutor);
130 : } // namespace hccl
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