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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_reduce_scatter_mesh_aiv_executor.h"
12 :
13 : namespace hccl {
14 0 : CollReduceScatterMeshAivExecutor::CollReduceScatterMeshAivExecutor(
15 0 : const HcclDispatcher dispatcher, std::unique_ptr<TopoMatcher>& topoMatcher)
16 0 : : CollReduceScatterExecutor(dispatcher, topoMatcher)
17 : {
18 0 : DMAReduceFlag_ = false;
19 0 : desc_.isAivMode = true;
20 0 : desc_.deterministic = 0;
21 0 : }
22 :
23 0 : HcclResult CollReduceScatterMeshAivExecutor::CalcStreamNum(u32& streamNum)
24 : {
25 0 : streamNum = 0; // AIV通信不需要申请从流
26 0 : HCCL_INFO("[CollReduceScatterMeshAivExecutor][CalcStreamNum] tag[%s] streamNum[%u].", tag_.c_str(), streamNum);
27 0 : return HCCL_SUCCESS;
28 : }
29 :
30 0 : HcclResult CollReduceScatterMeshAivExecutor::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 : HcclResult
40 0 : CollReduceScatterMeshAivExecutor::CalcTransportMemType(TransportMemType& inputType, TransportMemType& outputType)
41 : {
42 0 : if (workflowMode_ == HcclWorkflowMode::HCCL_WORKFLOW_MODE_OP_BASE) {
43 0 : inputType = TransportMemType::CCL_INPUT;
44 0 : outputType = TransportMemType::AIV_OUTPUT;
45 : } else {
46 0 : inputType = TransportMemType::PARAM_INPUT;
47 0 : outputType = TransportMemType::AIV_OUTPUT;
48 : }
49 0 : HCCL_INFO(
50 : "[CollReduceScatterMeshAivExecutor][CalcTransportMemType] tag[%s] inputType[%d],"
51 : " outputType[%d].",
52 : tag_.c_str(), inputType, outputType);
53 0 : return HCCL_SUCCESS;
54 : }
55 :
56 0 : HcclResult CollReduceScatterMeshAivExecutor::CalcLevel0CommInfo(
57 : TransportMemType inputType, TransportMemType outputType, std::vector<LevelNSubCommTransport>& opTransport)
58 : {
59 0 : CommParaInfo commParaLevel0(COMM_LEVEL0, CommType::COMM_TAG_MESH);
60 0 : commParaLevel0.meshSinglePlane = true;
61 0 : CHK_RET(CalcCommPlaneInfo(tag_, commParaLevel0, opTransport[COMM_LEVEL0], inputType, outputType));
62 0 : return HCCL_SUCCESS;
63 0 : }
64 :
65 0 : HcclResult CollReduceScatterMeshAivExecutor::CalNumBlocks(
66 : u32& numBlocks, u32 rankSize, [[maybe_unused]] u64 dataSize, [[maybe_unused]] HcclCMDType cmdType)
67 : {
68 0 : numBlocks = rankSize; // 默认情况使用rankSize个AIV
69 :
70 0 : bool isOpBase = (GetWorkflowMode() == HcclWorkflowMode::HCCL_WORKFLOW_MODE_OP_BASE);
71 0 : if (topoAttr_.deviceType == DevType::DEV_TYPE_910_93 && !isOpBase) {
72 0 : numBlocks = rankSize * NUM_BLOCKS_FOUR_PER_RANK_A3 > MAX_NUM_BLOCKS ? rankSize * NUM_BLOCKS_THREE_PER_RANK_A3 :
73 : rankSize * NUM_BLOCKS_FOUR_PER_RANK_A3;
74 0 : } else if (isOpBase) {
75 0 : numBlocks = NUM_BLOCKS_FACTOR_TWO * rankSize; // 单机场景，单算子ReduceScatter大数据使用2倍 rankSize个aiv
76 : }
77 :
78 0 : u32 bestNumBlocks = numBlocks;
79 0 : CHK_PRT_RET(
80 : numBlocks_ < rankSize && topoAttr_.deviceType == DevType::DEV_TYPE_910_93,
81 : HCCL_WARNING(
82 : "[CollReduceScatterMeshAivExecutor][CalNumBlocks]aivCore[%u] is invalid, at least need [%u].", numBlocks_,
83 : rankSize),
84 : HCCL_E_PARA);
85 :
86 0 : CHK_PRT_RET(
87 : numBlocks_ < bestNumBlocks && (topoAttr_.deviceType != DevType::DEV_TYPE_910_93 || isOpBase),
88 : HCCL_WARNING(
89 : "[CollReduceScatterMeshAivExecutor][CalNumBlocks]aivCore[%u] is invalid, at least need [%u].", numBlocks_,
90 : bestNumBlocks),
91 : HCCL_E_PARA);
92 :
93 0 : if (numBlocks_ < bestNumBlocks) {
94 0 : numBlocks = numBlocks_ / rankSize * rankSize;
95 : }
96 :
97 0 : HCCL_INFO(
98 : "[CollReduceScatterMeshAivExecutor][CalNumBlocks] numBlocks is set to [%u], limit[%u], recommanded[%u]",
99 : numBlocks, numBlocks_, bestNumBlocks);
100 0 : return HCCL_SUCCESS;
101 : }
102 :
103 0 : HcclResult CollReduceScatterMeshAivExecutor::GetAivExecParam(
104 : const OpParam& param, AlgResourceResponse& algRes, AivSuperKernelArgs& args)
105 : {
106 0 : HcclUs startut = TIME_NOW();
107 0 : tag_ = param.tag;
108 0 : algResResp_ = &algRes;
109 :
110 0 : HcclResult ret = HCCL_SUCCESS;
111 0 : ExecMem execMem;
112 0 : execMem.count = param.DataDes.count;
113 0 : execMem.inputPtr = param.inputPtr;
114 0 : execMem.outputPtr = param.outputPtr;
115 :
116 : // 单算子大数据量
117 0 : execMem.inputMem = algRes.paramInputMem;
118 0 : execMem.outputMem = algRes.aivOutputMem;
119 :
120 0 : SubCommInfo level0CommInfo = GetSubCommInfo(COMM_LEVEL0, COMM_INDEX_0);
121 :
122 0 : u32 localRank = level0CommInfo.localRank;
123 0 : u32 localRankSize = level0CommInfo.localRankSize;
124 0 : HCCL_DEBUG(
125 : "[CollReduceScatterMeshAivExecutor][GetAivExecParam] userRank [%d] localRank [%d]", topoAttr_.userRank,
126 : localRank);
127 :
128 0 : for (u32 i = 0; i < localRankSize; i++) {
129 0 : if (i != localRank) {
130 0 : CHK_RET(level0CommInfo.links[i]->GetRemoteMem(UserMemType::INPUT_MEM, &(args.buffersIn[i])));
131 0 : CHK_RET(level0CommInfo.links[i]->GetRemoteMem(UserMemType::OUTPUT_MEM, &(args.buffersOut[i])));
132 : } else {
133 0 : args.buffersIn[i] = execMem.inputMem.ptr();
134 0 : args.buffersOut[i] = execMem.outputMem.ptr();
135 : }
136 : }
137 0 : HCCL_INFO(
138 : "SPK, buffersIn [%p] [%p] [%p] [%p]"
139 : "buffersOut [%p] [%p] [%p] [%p]",
140 : args.buffersIn[0], args.buffersIn[1], args.buffersIn[2], args.buffersIn[3], args.buffersOut[0],
141 : args.buffersOut[1], args.buffersOut[2], args.buffersOut[3]);
142 0 : args.rank = localRank;
143 0 : args.rankSize = localRankSize;
144 0 : args.len = execMem.count;
145 0 : args.dataType = param.DataDes.dataType;
146 0 : args.unitSize = SIZE_TABLE[param.DataDes.dataType];
147 0 : args.reduceOp = param.reduceType;
148 0 : args.devType = static_cast<u32>(topoAttr_.deviceType);
149 0 : CHK_PRT_RET(
150 : ret != HCCL_SUCCESS,
151 : HCCL_ERROR(
152 : "[CollReduceScatterMeshAivExecutor][Orchestrate]errNo[0x%016llx] tag[%s] executor kernel "
153 : "run failed",
154 : HCCL_ERROR_CODE(ret), param.tag.c_str()),
155 : ret);
156 0 : HCCL_INFO(
157 : "SPK [CollReduceScatterMeshAivExecutor][GetAivExecParam], rank[%llu], rankSize[%llu], "
158 : "len[%llu],datatype[%llu], op[%llu], devType[%u]",
159 : args.rank, args.rankSize, args.len, args.dataType, args.reduceOp, args.devType);
160 :
161 0 : HCCL_INFO(
162 : "tag[%s], ReduceScatter executor getalgexecparam success, take time [%lld]us.", param.tag.c_str(),
163 : DURATION_US(TIME_NOW() - startut));
164 0 : return HCCL_SUCCESS;
165 0 : }
166 :
167 0 : HcclResult CollReduceScatterMeshAivExecutor::Orchestrate(OpParam& param, AlgResourceResponse& algRes)
168 : {
169 0 : HcclUs startut = TIME_NOW();
170 0 : tag_ = param.tag;
171 0 : algResResp_ = &algRes;
172 :
173 0 : HcclResult ret = HCCL_SUCCESS;
174 0 : ExecMem execMem;
175 0 : execMem.count = param.DataDes.count;
176 0 : execMem.inputPtr = param.inputPtr;
177 0 : execMem.outputPtr = param.outputPtr;
178 :
179 0 : if (workflowMode_ != HcclWorkflowMode::HCCL_WORKFLOW_MODE_OP_BASE) {
180 0 : execMem.inputMem = algRes.paramInputMem;
181 0 : execMem.outputMem = algRes.aivOutputMem;
182 0 : ret = KernelRun(param, execMem);
183 : } else {
184 0 : execMem.inputMem = algRes.cclInputMem; // 仍然使用CCLIN
185 0 : execMem.outputMem = algRes.aivOutputMem;
186 0 : ret = KernelRun(param, execMem);
187 : }
188 :
189 0 : CHK_PRT_RET(
190 : ret != HCCL_SUCCESS,
191 : HCCL_ERROR(
192 : "[CollReduceScatterMeshAivExecutor][Orchestrate]errNo[0x%016llx] tag[%s] executor kernel "
193 : "run failed",
194 : HCCL_ERROR_CODE(ret), param.tag.c_str()),
195 : ret);
196 :
197 0 : HCCL_INFO(
198 : "tag[%s], ReduceScatter executor orchestrate success, take time [%lld]us.", param.tag.c_str(),
199 : DURATION_US(TIME_NOW() - startut));
200 0 : return HCCL_SUCCESS;
201 0 : }
202 :
203 0 : HcclResult CollReduceScatterMeshAivExecutor::KernelRun(const OpParam& param, ExecMem& execMem)
204 : {
205 0 : HCCL_CONFIG_INFO(HCCL_ALG, "[%s] ReduceScatter aiv enter.", __func__);
206 :
207 0 : CHK_RET(CheckCommSize(COMM_LEVEL0, COMM_INDEX_0 + 1));
208 0 : SubCommInfo level0CommInfo = GetSubCommInfo(COMM_LEVEL0, COMM_INDEX_0);
209 :
210 : void* buffersIn[MAX_RANK_SIZE];
211 : void* buffersOut[MAX_RANK_SIZE];
212 :
213 0 : u32 localRank = level0CommInfo.localRank;
214 0 : u32 localRankSize = level0CommInfo.localRankSize;
215 0 : HCCL_DEBUG(
216 : "[CollReduceScatterMeshAivExecutor][KernelRun] userRank [%d] localRank [%d]", topoAttr_.userRank, localRank);
217 :
218 0 : for (u32 i = 0; i < localRankSize; i++) {
219 0 : if (i != localRank) {
220 0 : CHK_RET(level0CommInfo.links[i]->GetRemoteMem(UserMemType::INPUT_MEM, &(buffersIn[i])));
221 0 : CHK_RET(level0CommInfo.links[i]->GetRemoteMem(UserMemType::OUTPUT_MEM, &(buffersOut[i])));
222 : } else {
223 0 : buffersIn[i] = execMem.inputMem.ptr();
224 0 : buffersOut[i] = execMem.outputMem.ptr();
225 : }
226 : }
227 : u32 numBlocks;
228 0 : bool isOpbase = (GetWorkflowMode() == HcclWorkflowMode::HCCL_WORKFLOW_MODE_OP_BASE);
229 0 : HCCL_DEBUG("[CollReduceScatterMeshAivExecutor][KernelRun]isOpbase is %d", isOpbase);
230 :
231 0 : AivOpArgs opArgs{
232 : HcclCMDType::HCCL_CMD_REDUCE_SCATTER,
233 0 : execMem.inputPtr,
234 0 : execMem.outputPtr,
235 0 : execMem.count,
236 0 : param.DataDes.dataType,
237 0 : param.reduceType,
238 : 0,
239 0 : isOpbase};
240 0 : AivTopoArgs topoArgs{localRank, localRankSize, MAX_RANK_SIZE, 0, 1, topoAttr_.deviceType};
241 0 : topoArgs.identify = algoAttr_.identifier;
242 0 : CHK_PRT_RET(
243 : CalNumBlocks(numBlocks, localRankSize) != HCCL_SUCCESS, HCCL_ERROR("[%s] CalNumBlocks failed", __func__),
244 : HCCL_E_PARA);
245 0 : numBlocks_ = numBlocks;
246 0 : AivResourceArgs resourceArgs{param.tag, param.stream.ptr(), buffersIn, buffersOut, execMem.inputMem.size(),
247 0 : numBlocks_, param.aivTag};
248 0 : struct AivProfilingInfo aivProfilingInfo;
249 0 : AivAlgArgs algArgs{};
250 0 : algArgs.execTimeOut = topoMatcher_->GetExecTimeOutConfig();
251 0 : algArgs.execTimeOutSet = true;
252 0 : aivProfilingInfo.counter = opCounter_;
253 :
254 0 : HcclResult ret = ExecuteKernelLaunch(opArgs, topoArgs, resourceArgs, algArgs, aivProfilingInfo);
255 0 : CHK_PRT_RET(
256 : ret != HCCL_SUCCESS,
257 : HCCL_ERROR("[CollReduceScatterMeshAivExecutor][KernelRun]ReduceScatter aiv failed, return[%d]", ret), ret);
258 :
259 0 : ExtraArgs extraArgs;
260 0 : CHK_RET(SetOpCache(opArgs, topoArgs, resourceArgs, algArgs, extraArgs, aivProfilingInfo, false));
261 :
262 0 : HCCL_INFO("[CollReduceScatterMeshAivExecutor][KernelRun]ReduceScatter aiv run success.");
263 0 : return HCCL_SUCCESS;
264 0 : }
265 :
266 : REGISTER_EXEC("ReduceScatterMeshAivExecutor", ReduceScatterMeshAiv, CollReduceScatterMeshAivExecutor);
267 :
268 : } // namespace hccl
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