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 "ccu_context_reduce_mesh1d.h"
12 : #include "ccu_instruction_reduce_mesh1d.h"
13 :
14 : namespace Hccl {
15 :
16 : constexpr int INPUT_XN_ID = 0;
17 : constexpr int OUTPUT_XN_ID = 1;
18 : constexpr int TOKEN_XN_ID = 2;
19 : constexpr int CKE_IDX_0 = 0;
20 : constexpr int CKE_IDX_1 = 1;
21 : constexpr int CKE_IDX_2 = 2;
22 : constexpr int CKE_IDX_3 = 3;
23 :
24 : using CurrentCtxArg = CcuCtxArgReduceMesh1D;
25 : using CurrentTaskArg = CcuTaskArgReduceMesh1D;
26 :
27 0 : CcuContextReduceMesh1D::CcuContextReduceMesh1D(
28 0 : const CcuCtxArg& arg, const std::vector<CcuTransport*>& transports, const CcuTransportGroup& group)
29 0 : : CcuContextAlgBase(arg, transports, group)
30 : {
31 0 : HCCL_DEBUG("[CcuContextReduceMesh1D] Enter Constructor");
32 0 : const CurrentCtxArg* ctxArg = dynamic_cast<const CurrentCtxArg*>(&arg);
33 0 : if (ctxArg == nullptr) {
34 0 : THROW<NullPtrException>(StringFormat("CcuContextReduceMesh1D::ctxArg ptr is null"));
35 : }
36 0 : rankId_ = ctxArg->rankId_;
37 0 : rankSize_ = ctxArg->dimSize_[0];
38 0 : dataType_ = ctxArg->op_.dataType;
39 0 : outputDataType_ = ctxArg->op_.outputDataType;
40 :
41 0 : if (outputDataType_ == DataType::INVALID) {
42 0 : outputDataType_ = dataType_;
43 0 : HCCL_INFO(
44 : "[CcuContextReduceMesh1D] outputDataType is [INVALID], set outputDataType to[%s]",
45 : outputDataType_.Describe().c_str());
46 : }
47 :
48 0 : if (ctxArg->dimSize_.size() > 0) {
49 0 : rankSize_ = ctxArg->dimSize_[0];
50 : }
51 :
52 0 : HCCL_INFO("[CcuContextReduceMesh1D] CtxArg: rankId[%u] rankSize[%llu]", rankId_, rankSize_);
53 :
54 0 : reduceOp_ = ctxArg->op_.reduceOp;
55 0 : rootId_ = ctxArg->rootId_;
56 0 : HCCL_INFO(
57 : "[CcuContextReduceMesh1D] init end, ctxArg->dimSize size[%zu] rankSize[%llu]", ctxArg->dimSize_.size(),
58 : rankSize_);
59 0 : }
60 :
61 0 : void CcuContextReduceMesh1D::InitResource()
62 : {
63 0 : if (transports.size() == 0) {
64 0 : THROW<NullPtrException>(StringFormat("CcuContextReduceMesh1D transports is empty"));
65 : }
66 0 : HCCL_INFO("[CcuContextReduceMesh1D]transports.size: [%zu]", transports.size());
67 0 : uint16_t transportIdx = 0;
68 : // 按照rank号从小到大遍历transports，遇到本rank就填充本地资源，否则依次取远端资源，要求给框架返回的Link同样是按顺序排列的
69 0 : for (uint16_t peerId = 0; peerId < rankSize_; peerId++) {
70 0 : if (peerId == rankId_) {
71 0 : input_.push_back(CreateVariable());
72 0 : output_.push_back(CreateVariable());
73 0 : token_.push_back(CreateVariable());
74 : } else {
75 0 : HCCL_DEBUG(
76 : "[CcuContextReduceMesh1D] MyRank[%u], PeerId[%hu], TransportId[%hu]", rankId_, peerId, transportIdx);
77 : // 判断transport是否为空，为空直接报错
78 0 : CHK_PRT_THROW(
79 : transports[transportIdx] == nullptr,
80 : HCCL_ERROR("[CcuContextReduceMesh1D] [InitResource] transports[%u] is nullptr", transportIdx),
81 : NullPtrException, "transport is null");
82 0 : input_.push_back(
83 0 : CreateVariable((*transports[transportIdx]), INPUT_XN_ID)); // 获取transport中id=1的Var来传递input
84 0 : output_.push_back(
85 0 : CreateVariable((*transports[transportIdx]), OUTPUT_XN_ID)); // 获取transport中id=2的Var来传递output
86 0 : token_.push_back(CreateVariable((*transports[transportIdx]), TOKEN_XN_ID));
87 0 : transportIdx++;
88 : }
89 : }
90 :
91 0 : groupOpSize_ = CreateGroupOpSize();
92 :
93 0 : currentRankSliceInputOffset_ = CreateVariable();
94 0 : currentRankSliceOutputOffset_ = CreateVariable();
95 0 : repeatNum_ = CreateVariable();
96 0 : inputRepeatStride_ = CreateVariable();
97 0 : outputRepeatStride_ = CreateVariable();
98 :
99 0 : normalSliceSize_ = CreateVariable();
100 0 : lastSliceSize_ = CreateVariable();
101 0 : repeatNumVar_ = CreateVariable();
102 0 : flag_ = CreateVariable();
103 :
104 0 : selfBit_ = 1 << rankId_;
105 0 : allBit_ = ((1 << rankSize_) - 1) & (~(1 << rankId_));
106 :
107 0 : localMem_ = CreateMemory();
108 0 : reomteMem_.reserve(rankSize_);
109 0 : for (uint32_t rankIdx = 0; rankIdx < rankSize_; rankIdx++) {
110 0 : reomteMem_.push_back(CreateMemory());
111 : }
112 :
113 0 : localSignal_ = CreateMaskSignal();
114 0 : return;
115 : }
116 :
117 0 : void CcuContextReduceMesh1D::LoadArgs()
118 : {
119 0 : Load(input_[rankId_]);
120 0 : Load(output_[rankId_]);
121 0 : Load(token_[rankId_]);
122 0 : Load(currentRankSliceInputOffset_);
123 0 : Load(currentRankSliceOutputOffset_);
124 0 : Load(repeatNum_);
125 0 : Load(inputRepeatStride_);
126 0 : Load(outputRepeatStride_);
127 0 : Load(normalSliceSize_);
128 0 : Load(lastSliceSize_);
129 0 : Load(repeatNumVar_);
130 0 : Load(groupOpSize_);
131 0 : return;
132 : }
133 :
134 0 : void CcuContextReduceMesh1D::PreSync()
135 : {
136 0 : for (auto t : transports) {
137 0 : HCCL_INFO("[CcuContextReduceMesh1D] ReduceMesh1D LocalPost begin");
138 0 : WriteVariableWithSignal(*t, input_[rankId_], INPUT_XN_ID, CKE_IDX_1, selfBit_); // index = 1，传递input信息
139 0 : WriteVariableWithSignal(*t, output_[rankId_], OUTPUT_XN_ID, CKE_IDX_2, selfBit_); // index = 0，传递output信息
140 0 : WriteVariableWithSignal(*t, token_[rankId_], TOKEN_XN_ID, CKE_IDX_3, selfBit_); // index = 2，传递token信息
141 : }
142 0 : GroupWait(*transportGroup, CKE_IDX_1, allBit_);
143 0 : GroupWait(*transportGroup, CKE_IDX_2, allBit_);
144 0 : GroupWait(*transportGroup, CKE_IDX_3, allBit_);
145 0 : HCCL_INFO("[CcuContextReduceMesh1D] ReduceMesh1D wait all end");
146 0 : return;
147 : }
148 :
149 0 : void CcuContextReduceMesh1D::PostSync()
150 : {
151 0 : for (auto t : transports) {
152 0 : RemotePost(*t, CKE_IDX_0, selfBit_);
153 : }
154 0 : GroupWait(*transportGroup, CKE_IDX_0, allBit_);
155 0 : HCCL_INFO("[CcuContextReduceMesh1D] ReduceMesh1D Reduce groupwait end");
156 0 : }
157 :
158 0 : void CcuContextReduceMesh1D::DoRepeatReduce()
159 : {
160 0 : std::vector<CcuRep::Memory>& src = reomteMem_;
161 0 : CcuRep::Memory& dst = localMem_;
162 :
163 0 : dst.addr = output_[rankId_];
164 0 : dst.token = token_[rankId_];
165 0 : uint32_t curId = 0;
166 0 : for (uint32_t rankIdx = 0; rankIdx < rankSize_; rankIdx++) {
167 0 : if (rankIdx != rootId_) {
168 0 : src[curId].addr = input_[rankIdx];
169 0 : src[curId].token = token_[rankIdx];
170 0 : curId++;
171 : } else {
172 0 : continue;
173 : }
174 : }
175 0 : src[rankSize_ - 1].addr = input_[rankId_];
176 0 : src[rankSize_ - 1].token = token_[rankId_];
177 :
178 0 : CCU_IF(flag_ != 0)
179 : {
180 : // 非第一轮执行时，src 和 dst 已经初始化，需要添加偏移量
181 0 : dst.addr += outputRepeatStride_;
182 0 : for (auto& s : src) {
183 0 : s.addr += inputRepeatStride_;
184 : }
185 0 : }
186 0 : GroupReduce(transports, dst, src, groupOpSize_, dataType_, outputDataType_, reduceOp_);
187 0 : }
188 :
189 0 : void CcuContextReduceMesh1D::Algorithm()
190 : {
191 0 : HCCL_INFO("[CcuContextReduceMesh1D] ReduceMesh1D run");
192 0 : InitResource();
193 0 : LoadArgs();
194 0 : PreSync();
195 0 : if (rankId_ == rootId_) {
196 0 : CcuRep::Variable repeatNumAdd = CreateVariable();
197 0 : repeatNumAdd = 1;
198 0 : flag_ = 0;
199 0 : CCU_WHILE(repeatNumVar_ != UINT64_MAX)
200 : { // 循环repeatNum_次
201 0 : DoRepeatReduce();
202 0 : repeatNumVar_ += repeatNumAdd;
203 0 : flag_ = 1;
204 0 : }
205 0 : }
206 0 : PostSync();
207 0 : HCCL_INFO("[CcuContextReduceMesh1D] ReduceMesh1D end");
208 0 : return;
209 : }
210 :
211 0 : std::vector<uint64_t> CcuContextReduceMesh1D::GeneArgs(const CcuTaskArg& arg)
212 : {
213 0 : const CurrentTaskArg* taskArg = dynamic_cast<const CurrentTaskArg*>(&arg);
214 : // 空指针校验
215 0 : if (taskArg == nullptr) {
216 0 : THROW<NullPtrException>(StringFormat("CcuContextReduceMesh1D::taskArg ptr is null"));
217 : }
218 0 : uint64_t currentRankSliceInputOffset = taskArg->inputSliceStride_ * rankId_;
219 0 : uint64_t currentRankSliceOutputOffset = taskArg->outputSliceStride_ * rankId_;
220 0 : uint64_t repeatNum = taskArg->repeatNum_;
221 0 : uint64_t inputRepeatStride = taskArg->inputRepeatStride_;
222 0 : uint64_t outputRepeatStride = taskArg->outputRepeatStride_;
223 0 : uint64_t normalSliceSize = taskArg->normalSliceSize_;
224 0 : uint64_t lastSliceSize = taskArg->lastSliceSize_;
225 0 : uint64_t repeatNumVar = taskArg->repeatNumVar_;
226 0 : uint64_t inputAddr = taskArg->inputAddr_;
227 0 : uint64_t outputAddr = taskArg->outputAddr_;
228 0 : uint64_t tokenInfo = taskArg->token_;
229 :
230 0 : auto goSize = CalGoSize(normalSliceSize);
231 :
232 : std::vector<uint64_t> taskArgs = {
233 : inputAddr,
234 : outputAddr,
235 : tokenInfo,
236 : currentRankSliceInputOffset,
237 : currentRankSliceOutputOffset,
238 : repeatNum,
239 : inputRepeatStride,
240 : outputRepeatStride,
241 : normalSliceSize,
242 : lastSliceSize,
243 : repeatNumVar,
244 0 : goSize[0],
245 0 : goSize[1],
246 0 : goSize[2],
247 0 : goSize[3],
248 0 : };
249 :
250 0 : HCCL_INFO(
251 : "[CcuContextReduceMesh1D] TaskArgs: inputAddr[%llu], outputAddr[%llu], currentRankSliceInputOffset[%llu], "
252 : "currentRankSliceOutputOffset[%llu], repeatNum[%llu], inputRepeatStride[%llu], outputRepeatStride[%llu], "
253 : "normalSliceSize[%llu], lastSliceSize[%llu], repeatNumVar[%llu], goSize[0][%llu], goSize[1][%llu], "
254 : "goSize[2][%llu], goSize[3][%llu], ",
255 : inputAddr, outputAddr, currentRankSliceInputOffset, currentRankSliceOutputOffset, repeatNum, inputRepeatStride,
256 : outputRepeatStride, normalSliceSize, lastSliceSize, repeatNumVar, goSize[0], goSize[1], goSize[2], goSize[3]);
257 :
258 0 : return taskArgs;
259 0 : }
260 : } // namespace Hccl
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