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_aiv_deter_executor.h"
12 :
13 : namespace hccl {
14 :
15 0 : CollReduceScatterAivDeterExecutor::CollReduceScatterAivDeterExecutor(
16 0 : const HcclDispatcher dispatcher, std::unique_ptr<TopoMatcher>& topoMatcher)
17 0 : : CollReduceScatterExecutor(dispatcher, topoMatcher)
18 : {
19 0 : DMAReduceFlag_ = false;
20 0 : desc_.isAivMode = true;
21 0 : }
22 :
23 0 : HcclResult CollReduceScatterAivDeterExecutor::CalcStreamNum(u32& streamNum)
24 : {
25 0 : streamNum = 0; // AIV通信不需要申请从流
26 0 : HCCL_INFO("[CollReduceScatterAivDeterExecutor][CalcStreamNum] tag[%s] streamNum[%u].", tag_.c_str(), streamNum);
27 0 : return HCCL_SUCCESS;
28 : }
29 :
30 0 : HcclResult CollReduceScatterAivDeterExecutor::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 : CollReduceScatterAivDeterExecutor::CalcTransportMemType(TransportMemType& inputType, TransportMemType& outputType)
41 : {
42 0 : inputType = TransportMemType::CCL_INPUT;
43 0 : outputType = TransportMemType::AIV_OUTPUT;
44 0 : HCCL_INFO(
45 : "[CollReduceScatterAivDeterExecutor][CalcTransportMemType] tag[%s] inputType[%d], outputType[%d].",
46 : tag_.c_str(), inputType, outputType);
47 0 : return HCCL_SUCCESS;
48 : }
49 :
50 0 : HcclResult CollReduceScatterAivDeterExecutor::CalcLevel0CommInfo(
51 : TransportMemType inputType, TransportMemType outputType, std::vector<LevelNSubCommTransport>& opTransport)
52 : {
53 0 : CommParaInfo commParaLevel0(COMM_LEVEL0, CommType::COMM_TAG_MESH);
54 0 : commParaLevel0.meshSinglePlane = true;
55 0 : CHK_RET(CalcCommPlaneInfo(tag_, commParaLevel0, opTransport[COMM_LEVEL0], inputType, outputType));
56 0 : return HCCL_SUCCESS;
57 0 : }
58 :
59 0 : HcclResult CollReduceScatterAivDeterExecutor::CalNumBlocks(
60 : u32& numBlocks, u32 rankSize, u64 dataSize, [[maybe_unused]] HcclCMDType cmdType)
61 : {
62 0 : numBlocks = rankSize; // 默认情况使用rankSize个AIV
63 :
64 0 : numBlocks = NUM_BLOCKS_FACTOR_TWO * rankSize; // 小数据量使用2倍rankSize的AIV core
65 0 : if (dataSize * rankSize >= AIV_REDUCE_SCATTER_DETER_SMALL_SIZE) {
66 0 : numBlocks = NUM_BLOCKS_FACTOR_THREE * rankSize;
67 : }
68 :
69 0 : HCCL_INFO(
70 : "[CollReduceScatterAivDeterExecutor][CalNumBlocks] datasize is [%u], numBlocks is set to [%u]", dataSize,
71 : numBlocks);
72 0 : return HCCL_SUCCESS;
73 : }
74 :
75 0 : HcclResult CollReduceScatterAivDeterExecutor::Orchestrate(OpParam& param, AlgResourceResponse& algRes)
76 : {
77 0 : HcclUs startut = TIME_NOW();
78 0 : tag_ = param.tag;
79 0 : algResResp_ = &algRes;
80 :
81 0 : HcclResult ret = HCCL_SUCCESS;
82 0 : ExecMem execMem;
83 0 : execMem.count = param.DataDes.count;
84 0 : execMem.inputPtr = param.inputPtr;
85 0 : execMem.outputPtr = param.outputPtr;
86 : // 确定性场景不支持图模式
87 0 : execMem.inputMem = algRes.cclInputMem;
88 0 : execMem.outputMem = algRes.aivOutputMem;
89 :
90 0 : ret = KernelRun(param, execMem);
91 0 : CHK_PRT_RET(
92 : ret != HCCL_SUCCESS,
93 : HCCL_ERROR(
94 : "[CollReduceScatterAivDeterExecutor][Orchestrate]errNo[0x%016llx] tag[%s] executor kernel run failed",
95 : HCCL_ERROR_CODE(ret), param.tag.c_str()),
96 : ret);
97 :
98 0 : HCCL_INFO(
99 : "tag[%s], ReduceScatter executor orchestrate success, take time [%lld]us", param.tag.c_str(),
100 : DURATION_US(TIME_NOW() - startut));
101 0 : return HCCL_SUCCESS;
102 0 : }
103 :
104 0 : HcclResult CollReduceScatterAivDeterExecutor::GetAivExecParam(
105 : const OpParam& param, AlgResourceResponse& algRes, AivSuperKernelArgs& args)
106 : {
107 0 : HcclUs startut = TIME_NOW();
108 0 : tag_ = param.tag;
109 0 : algResResp_ = &algRes;
110 :
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.cclInputMem;
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 : "[CollReduceScatterAivDeterExecutor][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 :
138 0 : HCCL_INFO(
139 : "SPK, buffersIn [%p] [%p] [%p] [%p]"
140 : "buffersOut [%p] [%p] [%p] [%p]",
141 : args.buffersIn[0], args.buffersIn[1], args.buffersIn[2], args.buffersIn[3], args.buffersOut[0],
142 : args.buffersOut[1], args.buffersOut[2], args.buffersOut[3]);
143 0 : args.rank = localRank;
144 0 : args.rankSize = localRankSize;
145 0 : args.len = execMem.count;
146 0 : args.dataType = param.DataDes.dataType;
147 0 : args.unitSize = SIZE_TABLE[param.DataDes.dataType];
148 0 : args.reduceOp = param.reduceType;
149 0 : args.devType = static_cast<u32>(topoAttr_.deviceType);
150 0 : HCCL_INFO(
151 : "SPK [CollReduceScatterAivDeterExecutor][GetAivExecParam], rank[%llu], rankSize[%llu], "
152 : "len[%llu],datatype[%llu], op[%llu]",
153 : args.rank, args.rankSize, args.len, args.dataType, args.reduceOp);
154 :
155 0 : HCCL_INFO(
156 : "tag[%s], ReduceScatter executor getalgexecparam success, take time [%lld]us.", param.tag.c_str(),
157 : DURATION_US(TIME_NOW() - startut));
158 0 : return HCCL_SUCCESS;
159 0 : }
160 :
161 0 : HcclResult CollReduceScatterAivDeterExecutor::KernelRun(const OpParam& param, ExecMem& execMem)
162 : {
163 0 : HCCL_CONFIG_INFO(HCCL_ALG, "[CollReduceScatterAivDeterExecutor][KernelRun]ReduceScatter aiv enter.");
164 :
165 0 : CHK_RET(CheckCommSize(COMM_LEVEL0, COMM_INDEX_0 + 1));
166 0 : SubCommInfo level0CommInfo = GetSubCommInfo(COMM_LEVEL0, COMM_INDEX_0);
167 :
168 : void* buffersIn[MAX_RANK_SIZE];
169 : void* buffersOut[MAX_RANK_SIZE];
170 :
171 0 : u32 localRank = level0CommInfo.localRank;
172 0 : u32 localRankSize = level0CommInfo.localRankSize;
173 0 : HCCL_DEBUG(
174 : "[CollReduceScatterAivDeterExecutor][KernelRun] userRank [%u] localRank [%u]", topoAttr_.userRank, localRank);
175 :
176 0 : for (u32 i = 0; i < localRankSize; i++) {
177 0 : if (i != localRank) {
178 0 : CHK_RET(level0CommInfo.links[i]->GetRemoteMem(UserMemType::INPUT_MEM, &(buffersIn[i])));
179 0 : CHK_RET(level0CommInfo.links[i]->GetRemoteMem(UserMemType::OUTPUT_MEM, &(buffersOut[i])));
180 : } else {
181 0 : buffersIn[i] = execMem.inputMem.ptr();
182 0 : buffersOut[i] = execMem.outputMem.ptr();
183 : }
184 : }
185 :
186 0 : bool isOpbase = (workflowMode_ == HcclWorkflowMode::HCCL_WORKFLOW_MODE_OP_BASE);
187 0 : AivOpArgs opArgs{
188 : HcclCMDType::HCCL_CMD_REDUCE_SCATTER,
189 0 : execMem.inputPtr,
190 0 : execMem.outputPtr,
191 0 : execMem.count,
192 0 : param.DataDes.dataType,
193 0 : param.reduceType,
194 : 0,
195 0 : isOpbase};
196 0 : AivTopoArgs topoArgs{localRank, localRankSize, MAX_RANK_SIZE, 0, 1, topoAttr_.deviceType};
197 0 : topoArgs.identify = algoAttr_.identifier;
198 :
199 0 : u64 dataSize = SIZE_TABLE[param.DataDes.dataType] * execMem.count;
200 : u32 numBlocks;
201 0 : CHK_PRT_RET(
202 : CalNumBlocks(numBlocks, localRankSize, dataSize) != HCCL_SUCCESS,
203 : HCCL_ERROR("[%s] CalNumBlocks failed", __func__), HCCL_E_PARA);
204 0 : numBlocks_ = numBlocks;
205 0 : AivResourceArgs resourceArgs{param.tag, param.stream.ptr(), buffersIn, buffersOut, execMem.inputMem.size(),
206 0 : numBlocks_, param.aivTag};
207 0 : AivAlgArgs algArgs{};
208 0 : algArgs.deterministic = 1;
209 0 : algArgs.execTimeOut = topoMatcher_->GetExecTimeOutConfig();
210 0 : algArgs.execTimeOutSet = true;
211 0 : struct AivProfilingInfo aivProfilingInfo;
212 0 : aivProfilingInfo.counter = opCounter_;
213 0 : HCCL_INFO(
214 : "[CollReduceScatterAivDeterExecutor][KernelRun]ReduceScatter bufferin[%d] bufferout[%d]",
215 : execMem.inputMem.size(), execMem.outputMem.size());
216 :
217 0 : HcclResult ret = ExecuteKernelLaunch(opArgs, topoArgs, resourceArgs, algArgs, aivProfilingInfo);
218 :
219 0 : CHK_PRT_RET(
220 : ret != HCCL_SUCCESS,
221 : HCCL_ERROR("[CollReduceScatterAivDeterExecutor][KernelRun]ReduceScatter aiv failed, return[%d]", ret), ret);
222 :
223 0 : ExtraArgs extraArgs;
224 0 : CHK_RET(SetOpCache(opArgs, topoArgs, resourceArgs, algArgs, extraArgs, aivProfilingInfo, false));
225 :
226 0 : HCCL_INFO("[CollReduceScatterAivDeterExecutor][KernelRun]ReduceScatter aiv run success.");
227 0 : return HCCL_SUCCESS;
228 0 : }
229 :
230 : REGISTER_EXEC("ReduceScatterAivDeterExecutor", ReduceScatterAivDeter, CollReduceScatterAivDeterExecutor);
231 :
232 : } // namespace hccl
|
