* Copyright (c) 2026 Huawei Technologies Co., Ltd.
* This file is part of the MindStudio project.
*
* MindStudio is licensed under Mulan PSL v2.
* You can use this software according to the terms and conditions of the Mulan PSL v2.
* You may obtain a copy of Mulan PSL v2 at:
*
* http://license.coscl.org.cn/MulanPSL2
*
* THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND,
* EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT,
* MERCHANTABILITY OR FIT FOR A PARTICULAR PURPOSE.
* See the Mulan PSL v2 for more details.
* -------------------------------------------------------------------------*/
#include "analysis/csrc/application/timeline/low_power_assembler.h"
namespace Analysis
{
namespace Application
{
using namespace Analysis::Application;
using namespace Analysis::Infra;
using namespace Analysis::Utils;
LowPowerAssembler::LowPowerAssembler() : JsonAssembler(PROCESS_LOW_POWER, {{MSPROF_JSON_FILE, FileCategory::MSPROF}}) {}
std::unordered_map<uint16_t, uint32_t> LowPowerAssembler::GenerateFreqTrace(std::vector<LowPowerData> &freqData,
uint32_t sortIndex,
const std::string &profPath)
{
std::unordered_map<uint16_t, uint32_t> pidMap;
std::shared_ptr<CounterEvent> event;
std::set<int32_t> dDieId{-1, 0, 1};
for (const auto &data : freqData)
{
if (dDieId.find(data.dieId) == dDieId.end())
{
continue;
}
auto pid = GetDevicePid(pidMap, data.deviceId, profPath, sortIndex);
std::string processName = "AI Core Freq" + (data.dieId != -1 ? " Die " + std::to_string(data.dieId) : "");
MAKE_SHARED_RETURN_VALUE(event, CounterEvent, pidMap, pid, DEFAULT_TID,
DivideByPowersOfTenWithPrecision(data.timestamp), processName);
event->SetSeriesIValue("MHz", static_cast<uint64_t>(data.freq));
res_.emplace_back(event);
}
return pidMap;
}
uint8_t LowPowerAssembler::AssembleData(DataInventory &dataInventory, JsonWriter &ostream, const std::string &profPath)
{
INFO("Begin to assemble % data.", PROCESS_LOW_POWER);
auto freqData = dataInventory.GetPtr<std::vector<LowPowerData>>();
if (freqData == nullptr)
{
WARN("Can't get low power Data from dataInventory");
return DATA_NOT_EXIST;
}
auto layerInfo = GetLayerInfo(PROCESS_AI_CORE_FREQ);
auto pidMap = GenerateFreqTrace(*freqData, layerInfo.sortIndex, profPath);
if (res_.empty())
{
ERROR("Can't Generate any low power process data");
return ASSEMBLE_FAILED;
}
GenerateHWMetaData(pidMap, layerInfo, res_);
for (const auto &node : res_)
{
node->DumpJson(ostream);
}
ostream << ",";
INFO("Assemble % data success.", PROCESS_LOW_POWER);
return ASSEMBLE_SUCCESS;
}
}
}