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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_reduce_mesh_aiv_for_910_93_executor.h"
12 :
13 : namespace hccl {
14 :
15 0 : CollAllReduceMeshAivFor91093Executor::CollAllReduceMeshAivFor91093Executor(
16 0 : const HcclDispatcher dispatcher, std::unique_ptr<TopoMatcher>& topoMatcher)
17 0 : : CollAllReduceExecutor(dispatcher, topoMatcher)
18 : {
19 0 : DMAReduceFlag_ = false;
20 0 : desc_.isAivMode = true;
21 0 : desc_.isAivCrossNode = true;
22 0 : desc_.deterministic = 1;
23 0 : }
24 :
25 0 : HcclResult CollAllReduceMeshAivFor91093Executor::CalcStreamNum(u32& streamNum)
26 : {
27 0 : streamNum = 0; // AIV通信不需要申请从流
28 0 : HCCL_INFO("[CollAllReduceMeshAivFor91093Executor][CalcStreamNum] tag[%s] streamNum[%u].", tag_.c_str(), streamNum);
29 0 : return HCCL_SUCCESS;
30 : }
31 :
32 0 : HcclResult CollAllReduceMeshAivFor91093Executor::CalcCommInfo(std::vector<LevelNSubCommTransport>& opTransport)
33 : {
34 0 : TransportMemType inputType = TransportMemType::RESERVED;
35 0 : TransportMemType outputType = TransportMemType::RESERVED;
36 0 : CHK_RET(CalcTransportMemType(inputType, outputType));
37 0 : CHK_RET(CalcLevel0CommInfo(inputType, outputType, opTransport));
38 0 : return HCCL_SUCCESS;
39 : }
40 :
41 : HcclResult
42 0 : CollAllReduceMeshAivFor91093Executor::CalcTransportMemType(TransportMemType& inputType, TransportMemType& outputType)
43 : {
44 : inputType
45 0 : = (workflowMode_ == HcclWorkflowMode::HCCL_WORKFLOW_MODE_OP_BASE ? TransportMemType::CCL_INPUT :
46 : TransportMemType::SCRATCH);
47 0 : outputType = TransportMemType::AIV_OUTPUT;
48 0 : HCCL_INFO(
49 : "[CollAllReduceMeshAivFor91093Executor][CalcTransportMemType] tag[%s] inputType[%d],"
50 : " outputType[%d].",
51 : tag_.c_str(), inputType, outputType);
52 0 : return HCCL_SUCCESS;
53 : }
54 :
55 0 : HcclResult CollAllReduceMeshAivFor91093Executor::CalcLevel0CommInfo(
56 : TransportMemType inputType, TransportMemType outputType, std::vector<LevelNSubCommTransport>& opTransport)
57 : {
58 0 : CommParaInfo commCombinePara(COMM_COMBINE_ORDER, CommType::COMM_TAG_MESH);
59 0 : commCombinePara.meshSinglePlane = true;
60 0 : CHK_RET(CalcCommPlaneInfo(tag_, commCombinePara, opTransport[COMM_COMBINE_ORDER], inputType, outputType));
61 :
62 0 : LevelNSubCommTransport& commTransportLevel0 = opTransport[COMM_COMBINE_ORDER];
63 0 : for (u32 subCommIndex = 0; subCommIndex < commTransportLevel0.size(); subCommIndex++) {
64 0 : for (auto& transportRequest : commTransportLevel0[subCommIndex].transportRequests) {
65 0 : transportRequest.isUsedRdma = false;
66 : }
67 : }
68 0 : return HCCL_SUCCESS;
69 0 : }
70 :
71 0 : void CollAllReduceMeshAivFor91093Executor::ParseParam(const OpParam& param)
72 : {
73 0 : tag_ = param.tag;
74 :
75 0 : u64 reservedSize = (topoAttr_.userRankSize + 1) * (topoAttr_.userRankSize + 1) * SIZE_TABLE[param.DataDes.dataType];
76 :
77 0 : totalSize_ = BUFFER_DIVIDE * param.DataDes.count * SIZE_TABLE[param.DataDes.dataType] + reservedSize;
78 0 : }
79 :
80 0 : HcclResult CollAllReduceMeshAivFor91093Executor::CalcScratchMemSize(u64& scratchMemSize)
81 : {
82 0 : scratchMemSize = 0;
83 : // 确定性时图模式需要计算scratchMem
84 0 : scratchMemSize = totalSize_;
85 0 : HCCL_INFO("[%s]tag[%s] scratchMemSize[%llu]", __func__, tag_.c_str(), scratchMemSize);
86 0 : return HCCL_SUCCESS;
87 : }
88 :
89 0 : HcclResult CollAllReduceMeshAivFor91093Executor::CalNumBlocks(
90 : u32& numBlocks, u32 rankSize, [[maybe_unused]] u64 dataSize, [[maybe_unused]] HcclCMDType cmdType)
91 : {
92 : // Step1. Calculate the best block dimension
93 0 : u32 bestNumBlocks = (rankSize < MAX_NUM_BLOCKS ? rankSize : MAX_NUM_BLOCKS);
94 0 : u32 minNumBlocks = std::max((rankSize + MAX_TARGET_NUM - 1) / MAX_TARGET_NUM, NUM_BLOCKS_FACTOR_TWO);
95 :
96 : // Step2. Compare User Given numBlocks_ with bestNumBlocks
97 0 : numBlocks = bestNumBlocks;
98 0 : if (numBlocks_ < numBlocks) {
99 0 : if (numBlocks_ > rankSize) {
100 0 : numBlocks = numBlocks_ / rankSize * rankSize;
101 0 : minNumBlocks = (minNumBlocks + rankSize - 1) / rankSize * rankSize;
102 : } else {
103 0 : numBlocks = numBlocks_ / NUM_BLOCKS_FACTOR_TWO * NUM_BLOCKS_FACTOR_TWO;
104 0 : minNumBlocks = (minNumBlocks + NUM_BLOCKS_FACTOR_TWO - 1) / NUM_BLOCKS_FACTOR_TWO * NUM_BLOCKS_FACTOR_TWO;
105 : }
106 : }
107 :
108 0 : CHK_PRT_RET(
109 : numBlocks < minNumBlocks,
110 : HCCL_ERROR(
111 : "[CollAllReduceMeshAivFor91093Executor][CalNumBlocks]aivCore[%u] is invalid, at least need [%u].",
112 : numBlocks_, minNumBlocks),
113 : HCCL_E_PARA);
114 :
115 0 : HCCL_INFO(
116 : "[CollAllReduceMeshAivFor91093Executor][CalNumBlocks] numBlocks is set to [%u], limit[%u], recommanded[%u]",
117 : numBlocks, numBlocks_, bestNumBlocks);
118 0 : return HCCL_SUCCESS;
119 : }
120 :
121 0 : HcclResult CollAllReduceMeshAivFor91093Executor::GetAivExecParam(
122 : const OpParam& param, AlgResourceResponse& algRes, AivSuperKernelArgs& args)
123 : {
124 0 : HcclUs startut = TIME_NOW();
125 0 : tag_ = param.tag;
126 0 : algResResp_ = &algRes;
127 :
128 0 : HcclResult ret = HCCL_SUCCESS;
129 0 : ExecMem execMem;
130 0 : execMem.count = param.DataDes.count;
131 0 : execMem.inputPtr = param.inputPtr;
132 0 : execMem.outputPtr = param.outputPtr;
133 :
134 0 : execMem.inputMem = algRes.scratchMem;
135 :
136 0 : execMem.outputMem = algRes.aivOutputMem;
137 0 : SubCommInfo level0CommInfo = GetSubCommInfo(COMM_COMBINE_ORDER, COMM_INDEX_0);
138 :
139 0 : u32 localRank = level0CommInfo.localRank;
140 0 : u32 localRankSize = level0CommInfo.localRankSize;
141 0 : HCCL_DEBUG(
142 : "[CollAllReduceMeshAivFor91093Executor][GetAivExecParam] userRank [%d] localRank [%d]", topoAttr_.userRank,
143 : localRank);
144 :
145 0 : args.buffersIn[0] = execMem.inputMem.ptr();
146 0 : args.buffersOut[0] = execMem.outputMem.ptr();
147 0 : constexpr u32 BUFFER_IDX_ONE = 1;
148 0 : args.buffersOut[BUFFER_IDX_ONE] = algRes.aivCommInfoMem.ptr(); // 通信域信息
149 :
150 0 : args.rank = localRank;
151 0 : args.rankSize = localRankSize;
152 0 : args.len = execMem.count;
153 0 : args.dataType = param.DataDes.dataType;
154 0 : args.unitSize = SIZE_TABLE[param.DataDes.dataType];
155 0 : args.reduceOp = param.reduceType;
156 :
157 0 : HCCL_INFO(
158 : "SPK [CollAllReduceMeshAivFor91093Executor][GetAivExecParam], rank[%llu], rankSize[%llu], "
159 : "len[%llu],datatype[%llu], op[%llu]",
160 : args.rank, args.rankSize, args.len, args.dataType, args.reduceOp);
161 :
162 0 : CHK_PRT_RET(
163 : ret != HCCL_SUCCESS,
164 : HCCL_ERROR(
165 : "[CollAllReduceMeshAivFor91093Executor][Orchestrate]errNo[0x%016llx] tag[%s] executor kernel "
166 : "run failed",
167 : HCCL_ERROR_CODE(ret), param.tag.c_str()),
168 : ret);
169 :
170 0 : HCCL_INFO(
171 : "tag[%s], AllReduce executor getalgexecparam success, take time [%lld]us.", param.tag.c_str(),
172 : DURATION_US(TIME_NOW() - startut));
173 0 : return HCCL_SUCCESS;
174 0 : }
175 :
176 0 : HcclResult CollAllReduceMeshAivFor91093Executor::CopyAivCommInfoToDevice(
177 : const CommPlane levelIndex, const u32 subLevelIndex, AlgResourceResponse& algResource)
178 : {
179 0 : algResResp_ = &algResource;
180 0 : CHK_RET(CheckCommSize(levelIndex, subLevelIndex + 1));
181 0 : SubCommInfo commInfo = GetSubCommInfo(levelIndex, subLevelIndex);
182 0 : u32 localRank = commInfo.localRank;
183 0 : u32 localRankSize = commInfo.localRankSize;
184 :
185 0 : void* buffersInOut[MAX_RANK_SIZE_A3 * 2] = {};
186 0 : bool isOpbaseMode = GetWorkflowMode() == HcclWorkflowMode::HCCL_WORKFLOW_MODE_OP_BASE;
187 :
188 0 : for (u32 i = 0; i < localRankSize; i++) {
189 0 : u32 idx = (i << 1);
190 0 : if (i != localRank) {
191 0 : CHK_RET(commInfo.links[i]->GetRemoteMem(UserMemType::INPUT_MEM, &(buffersInOut[idx])));
192 0 : CHK_RET(commInfo.links[i]->GetRemoteMem(UserMemType::OUTPUT_MEM, &(buffersInOut[idx + 1])));
193 : } else {
194 0 : buffersInOut[idx] = isOpbaseMode ? algResource.cclInputMem.ptr() : algResource.scratchMem.ptr();
195 0 : buffersInOut[idx + 1] = algResource.aivOutputMem.ptr();
196 : }
197 : }
198 0 : const u32 bufferNum = 2;
199 0 : CHK_RET(hrtMemSyncCopy(
200 : algResource.aivCommInfoMem.ptr(), sizeof(u64) * localRankSize * bufferNum, buffersInOut,
201 : sizeof(u64) * localRankSize * bufferNum, HcclRtMemcpyKind::HCCL_RT_MEMCPY_KIND_HOST_TO_DEVICE));
202 0 : return HCCL_SUCCESS;
203 0 : }
204 :
205 0 : HcclResult CollAllReduceMeshAivFor91093Executor::PrepareCommInfoToDevice(AlgResourceResponse& algResource)
206 : {
207 0 : HCCL_INFO("[CollAllReduceMeshAivFor91093Executor][PrepareCommInfoToDevice]"
208 : "allreduce aiv copy comm info to device.");
209 0 : CHK_RET(CopyAivCommInfoToDevice(COMM_COMBINE_ORDER, COMM_INDEX_0, algResource));
210 0 : return HCCL_SUCCESS;
211 : }
212 :
213 0 : HcclResult CollAllReduceMeshAivFor91093Executor::Orchestrate(OpParam& param, AlgResourceResponse& algRes)
214 : {
215 0 : HcclUs startut = TIME_NOW();
216 0 : tag_ = param.tag;
217 0 : algResResp_ = &algRes;
218 :
219 0 : ExecMem execMem;
220 0 : execMem.count = param.DataDes.count;
221 0 : execMem.inputPtr = param.inputPtr;
222 0 : execMem.outputPtr = param.outputPtr;
223 :
224 : execMem.inputMem
225 0 : = (workflowMode_ != HcclWorkflowMode::HCCL_WORKFLOW_MODE_OP_BASE ? algRes.scratchMem : algRes.cclInputMem);
226 0 : execMem.outputMem = algRes.aivOutputMem;
227 0 : HcclResult ret = KernelRun(param, execMem);
228 :
229 0 : CHK_PRT_RET(
230 : ret != HCCL_SUCCESS,
231 : HCCL_ERROR(
232 : "[CollAllReduceMeshAivFor91093Executor][Orchestrate]errNo[0x%016llx] tag[%s] executor kernel "
233 : "run failed",
234 : HCCL_ERROR_CODE(ret), param.tag.c_str()),
235 : ret);
236 :
237 0 : HCCL_INFO(
238 : "tag[%s], allreduce executor orchestrate success, take time [%lld]us.", param.tag.c_str(),
239 : DURATION_US(TIME_NOW() - startut));
240 0 : return HCCL_SUCCESS;
241 0 : }
242 :
243 0 : HcclResult CollAllReduceMeshAivFor91093Executor::KernelRun(const OpParam& param, ExecMem& execMem)
244 : {
245 0 : HCCL_CONFIG_INFO(HCCL_ALG, "[%s] allreduce aiv enter.", __func__);
246 :
247 0 : CHK_RET(CheckCommSize(COMM_COMBINE_ORDER, COMM_INDEX_0 + 1));
248 0 : SubCommInfo level0CommInfo = GetSubCommInfo(COMM_COMBINE_ORDER, COMM_INDEX_0);
249 :
250 : void* buffersIn[MAX_RANK_SIZE];
251 : void* buffersOut[MAX_RANK_SIZE];
252 :
253 0 : u32 localRank = level0CommInfo.localRank;
254 0 : u32 localRankSize = level0CommInfo.localRankSize;
255 0 : HCCL_DEBUG(
256 : "[CollAllReduceMeshAivFor91093Executor][KernelRun] userRank [%d] localRank [%d]", topoAttr_.userRank,
257 : localRank);
258 :
259 0 : buffersIn[0] = execMem.inputMem.ptr();
260 0 : buffersOut[0] = execMem.outputMem.ptr();
261 0 : constexpr u32 BUFFER_IDX_ONE = 1;
262 0 : buffersOut[BUFFER_IDX_ONE] = algResResp_->aivCommInfoMem.ptr(); // 通信域信息
263 :
264 0 : bool isOpbase = GetWorkflowMode() == HcclWorkflowMode::HCCL_WORKFLOW_MODE_OP_BASE;
265 :
266 0 : AivOpArgs opArgs{
267 : HcclCMDType::HCCL_CMD_ALLREDUCE,
268 0 : execMem.inputPtr,
269 0 : execMem.outputPtr,
270 0 : execMem.count,
271 0 : param.DataDes.dataType,
272 0 : param.reduceType,
273 : 0,
274 0 : isOpbase};
275 : AivTopoArgs topoArgs{localRank, localRankSize, MAX_RANK_SIZE, 0,
276 0 : topoAttr_.serverNum, topoAttr_.deviceType, algoAttr_.identifier};
277 :
278 : u32 numBlocks;
279 0 : CHK_PRT_RET(
280 : CalNumBlocks(numBlocks, localRankSize, opArgs.count * SIZE_TABLE[opArgs.dataType]) != HCCL_SUCCESS,
281 : HCCL_ERROR("[%s] CalNumBlocks failed", __func__), HCCL_E_PARA);
282 0 : numBlocks_ = numBlocks;
283 :
284 0 : AivResourceArgs resourceArgs{param.tag, param.stream.ptr(), buffersIn, buffersOut, execMem.inputMem.size(),
285 0 : numBlocks_, param.aivTag};
286 0 : AivAlgArgs algArgs{};
287 0 : algArgs.execTimeOut = topoMatcher_->GetExecTimeOutConfig();
288 0 : algArgs.execTimeOutSet = true;
289 0 : algArgs.argsType = KernelArgsType::ARGS_TYPE_SIMPLE;
290 0 : struct AivProfilingInfo aivProfilingInfo;
291 0 : if (topoMatcher_->GetDeterministicConfig() != DETERMINISTIC_DISABLE) {
292 0 : algArgs.deterministic = 1;
293 : }
294 0 : aivProfilingInfo.counter = opCounter_;
295 :
296 0 : HcclResult ret = ExecuteKernelLaunch(opArgs, topoArgs, resourceArgs, algArgs, aivProfilingInfo);
297 0 : CHK_PRT_RET(
298 : ret != HCCL_SUCCESS,
299 : HCCL_ERROR("[CollAllReduceMeshAivFor91093Executor][KernelRun]allreduce aiv failed, return[%d]", ret), ret);
300 :
301 0 : ExtraArgs extraArgs;
302 0 : CHK_RET(SetOpCache(opArgs, topoArgs, resourceArgs, algArgs, extraArgs, aivProfilingInfo, true));
303 :
304 0 : HCCL_INFO("[CollAllReduceMeshAivFor91093Executor][KernelRun]allreduce aiv run success.");
305 0 : return HCCL_SUCCESS;
306 0 : }
307 :
308 : REGISTER_EXEC("AllReduceMeshAivFor91093Executor", AllReduceMeshAivFor91093, CollAllReduceMeshAivFor91093Executor);
309 :
310 : } // namespace hccl
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