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_v_mesh_graph_executor.h"
12 :
13 : namespace hccl {
14 0 : CollAllGatherVMeshGraphExecutor::CollAllGatherVMeshGraphExecutor(const HcclDispatcher dispatcher,
15 0 : std::unique_ptr<TopoMatcher> &topoMatcher)
16 0 : : CollAllGatherVExecutor(dispatcher, topoMatcher)
17 : {
18 0 : DMAReduceFlag_ = false;
19 0 : }
20 :
21 0 : HcclResult CollAllGatherVMeshGraphExecutor::CalcStreamNum(u32& streamNum)
22 : {
23 0 : u32 totalStreamNum = topoAttr_.deviceNumPerAggregation > 1U ? topoAttr_.deviceNumPerAggregation - 1U : 1U;
24 0 : streamNum = totalStreamNum - 1U;
25 0 : HCCL_INFO("[CollAllGatherVMeshGraphExecutor][CalcStreamNum] tag[%s] streamNum[%u]",
26 : tag_.c_str(), streamNum);
27 0 : return HCCL_SUCCESS;
28 : }
29 :
30 0 : HcclResult CollAllGatherVMeshGraphExecutor::CalcCommInfo(std::vector<LevelNSubCommTransport>& opTransport)
31 : {
32 0 : TransportMemType inputType = TransportMemType::RESERVED;
33 0 : TransportMemType outputType = TransportMemType::RESERVED;
34 0 : CHK_RET(CalcTransportMemType(inputType, outputType));
35 0 : CHK_RET(CalcLevel0CommInfo(inputType, outputType, opTransport));
36 0 : return HCCL_SUCCESS;
37 : }
38 :
39 0 : HcclResult CollAllGatherVMeshGraphExecutor::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("[CollAllGatherVMeshGraphExecutor][CalcTransportMemType] tag[%s] inputType[%d], outputType[%d]",
49 : tag_.c_str(), inputType, outputType);
50 0 : return HCCL_SUCCESS;
51 : }
52 :
53 0 : HcclResult CollAllGatherVMeshGraphExecutor::CalcLevel0CommInfo(TransportMemType inputType, TransportMemType outputType,
54 : std::vector<LevelNSubCommTransport>& opTransport)
55 : {
56 0 : CommParaInfo commParaLevel0(COMM_LEVEL0, CommType::COMM_TAG_MESH);
57 0 : commParaLevel0.meshSinglePlane = (topoAttr_.deviceType == DevType::DEV_TYPE_910B) &&
58 0 : topoMatcher_->GetExternalInputHcclDeterministic() == DETERMINISTIC_DISABLE &&
59 0 : (workflowMode_ != HcclWorkflowMode::HCCL_WORKFLOW_MODE_OP_BASE);
60 0 : CHK_RET(CalcCommPlaneInfo(tag_, commParaLevel0, opTransport[COMM_LEVEL0], inputType, outputType));
61 0 : return HCCL_SUCCESS;
62 0 : }
63 :
64 0 : HcclResult CollAllGatherVMeshGraphExecutor::KernelRun(const OpParam ¶m, ExecMem &execMem)
65 : {
66 0 : HCCL_CONFIG_INFO(HCCL_ALG, "[CollAllGatherVMeshGraphExecutor][KernelRun] userRank[%u] starts.", topoAttr_.userRank);
67 0 : u32 perDataSize = SIZE_TABLE[param.VDataDes.dataType];
68 :
69 : // 获取子通信域信息
70 0 : CHK_RET(CheckCommSize(COMM_LEVEL0, COMM_INDEX_0 + 1));
71 0 : SubCommInfo level0CommInfo = GetSubCommInfo(COMM_LEVEL0, COMM_INDEX_0);
72 0 : u32 level0RankSize = level0CommInfo.localRankSize;
73 0 : u32 commIndex = level0CommInfo.localRank;
74 : // allgatherv 计算slice,数据分成ranksize份,每份的起始偏移和大小
75 0 : std::vector<Slice> outputSlices;
76 0 : const auto counts = static_cast<u64*>(param.VDataDes.counts);
77 0 : const auto displs = static_cast<u64*>(param.VDataDes.displs);
78 0 : for (u32 rank = 0; rank < level0RankSize; ++rank) {
79 0 : Slice userslice;
80 0 : userslice.offset = displs[rank] * perDataSize;
81 0 : userslice.size = counts[rank] * perDataSize;
82 0 : outputSlices.emplace_back(std::move(userslice));
83 : }
84 :
85 0 : u64 inputMemSize = execMem.inputMem.size();
86 0 : u64 level0Offset = outputSlices[commIndex].offset;
87 0 : DeviceMem dstMem = execMem.outputMem.range(level0Offset, inputMemSize);// 根据卡序排
88 0 : CHK_SMART_PTR_NULL(dstMem);
89 : // 将数据从input内存拷贝到output内存的对应位置
90 0 : HcclResult ret = HcclD2DMemcpyAsync(dispatcher_, dstMem, execMem.inputMem, const_cast<Stream&>(param.stream));
91 0 : CHK_PRT_RET(ret != HCCL_SUCCESS,
92 : HCCL_ERROR("[CollAllGatherVMeshGraphExecutor][KernelRun]AllGatherV mesh memcpy Failed, Offset[%llu], Size[%llu].",
93 : level0Offset, inputMemSize), ret);
94 :
95 0 : CHK_RET(ActiveSlaveStreams(param.stream));
96 :
97 : // 抽取当前用于多环AllGather 的output内存数据
98 0 : DeviceMem currentOutputMem = execMem.outputMem;
99 0 : CHK_SMART_PTR_NULL(currentOutputMem);
100 :
101 0 : std::unique_ptr<AlgTemplateBase> level0TempAlg = AlgTemplateRegistry::Instance().GetAlgTemplate(
102 0 : TemplateType::TEMPLATE_ALL_GATHER_MESH_ATOMIC, dispatcher_);
103 0 : CHK_SMART_PTR_NULL(level0TempAlg);
104 0 : CHK_RET(level0TempAlg->Prepare(algResResp_->slaveStreams, algResResp_->notifiesMain, algResResp_->notifiesAux,
105 : topoAttr_.userRank, nullptr, commIndex, level0RankSize));
106 0 : CHK_RET(level0TempAlg->Prepare(currentOutputMem, currentOutputMem, execMem.inputMem,
107 : execMem.count , param.VDataDes.dataType, param.stream, HCCL_REDUCE_RESERVED,
108 : LEVEL0_BRIDGE_RANK_ID, outputSlices, 0));
109 0 : u32 rankSize = level0RankSize;
110 0 : CHK_RET(level0TempAlg->RegisterProfiler((rankSize << PROF_RANKSIZE_OFFSET_OF_PLANEID) + commIndex,
111 : PROF_STAGE_1, HCCL_EXEC_STEP_NOT_SET, param.stream));
112 0 : CHK_RET(RunTemplate(level0TempAlg, level0CommInfo));
113 0 : HCCL_INFO("AllGatherV mesh run success");
114 0 : return HCCL_SUCCESS;
115 0 : }
116 :
117 : REGISTER_EXEC("AllGatherVMeshGraphExecutor", AllGatherVMeshGraph, CollAllGatherVMeshGraphExecutor);
118 : } // namespace hccl
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