* Copyright (c) 2025 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/npu_mem_assembler.h"
#include "analysis/csrc/domain/entities/viewer_data/system/include/npu_mem_data.h"
#include "analysis/csrc/domain/services/environment/context.h"
namespace Analysis
{
namespace Application
{
using namespace Analysis::Domain::Environment;
using namespace Analysis::Application;
using namespace Analysis::Infra;
using namespace Analysis::Utils;
namespace
{
struct CounterName
{
std::string hbm;
std::string ddr;
std::string memory;
};
const std::unordered_map<std::string, CounterName> CounterNameMap{{"0", {"APP/HBM", "APP/DDR", "APP/Memory"}},
{"1", {"Device/HBM", "Device/DDR", "Device/Memory"}}};
}
NpuMemAssembler::NpuMemAssembler() : JsonAssembler(PROCESS_NPU_MEM, {{MSPROF_JSON_FILE, FileCategory::MSPROF}}) {}
void GenerateNpuMemTrace(std::vector<NpuMemData> &npuMemData, const std::unordered_map<uint16_t, uint32_t> &pidMap,
std::vector<std::shared_ptr<TraceEvent>> &res)
{
std::shared_ptr<CounterEvent> event;
std::string time;
uint32_t pid;
for (const auto &data : npuMemData)
{
time = DivideByPowersOfTenWithPrecision(data.timestamp);
pid = pidMap.at(data.deviceId);
double hbmValue = static_cast<double>(data.hbm) / Analysis::Common::BYTE_SIZE;
double ddrValue = static_cast<double>(data.ddr) / Analysis::Common::BYTE_SIZE;
double memoryValue = static_cast<double>(data.memory) / Analysis::Common::BYTE_SIZE;
MAKE_SHARED_RETURN_VOID(event, CounterEvent, pid, DEFAULT_TID, time, CounterNameMap.at(data.event).ddr);
event->SetSeriesDValue("KB", ddrValue);
res.push_back(event);
MAKE_SHARED_RETURN_VOID(event, CounterEvent, pid, DEFAULT_TID, time, CounterNameMap.at(data.event).hbm);
event->SetSeriesDValue("KB", hbmValue);
res.push_back(event);
MAKE_SHARED_RETURN_VOID(event, CounterEvent, pid, DEFAULT_TID, time, CounterNameMap.at(data.event).memory);
event->SetSeriesDValue("KB", memoryValue);
res.push_back(event);
}
}
uint8_t NpuMemAssembler::AssembleData(DataInventory &dataInventory, JsonWriter &ostream, const std::string &profPath)
{
auto npuMemData = dataInventory.GetPtr<std::vector<NpuMemData>>();
if (npuMemData == nullptr)
{
WARN("Can't get npuMemData from dataInventory");
return DATA_NOT_EXIST;
}
std::unordered_map<uint16_t, uint32_t> pidMap;
auto layerInfo = GetLayerInfo(PROCESS_NPU_MEM);
auto deviceList = File::GetFilesWithPrefix(profPath, DEVICE_PREFIX);
for (const auto &devicePath : deviceList)
{
auto deviceId = GetDeviceIdByDevicePath(devicePath);
auto pid = Context::GetInstance().GetPidFromInfoJson(deviceId, profPath);
uint32_t formatPid = JsonAssembler::GetFormatPid(pid, layerInfo.sortIndex, deviceId);
pidMap[deviceId] = formatPid;
}
GenerateHWMetaData(pidMap, layerInfo, res_);
GenerateNpuMemTrace(*npuMemData, pidMap, res_);
if (res_.empty())
{
ERROR("Can't Generate any NpuMem process data");
return ASSEMBLE_FAILED;
}
for (const auto &node : res_)
{
node->DumpJson(ostream);
}
ostream << ",";
return ASSEMBLE_SUCCESS;
}
}
}