* This file is part of the MindStudio project.
* Copyright (c) 2025 Huawei Technologies Co.,Ltd.
*
* 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.
* -------------------------------------------------------------------------
*/
#ifndef TENSOR_MONITOR_H
#define TENSOR_MONITOR_H
#include <unordered_map>
#include <vector>
#include <mutex>
#include "log.h"
using TENSOR_ADDR = uint64_t;
using TENSOR_SIZE = uint64_t;
struct MonitoredTensor {
void* data;
uint64_t dataSize;
};
namespace MemScope {
class TensorMonitor {
public:
static TensorMonitor& GetInstance()
{
static TensorMonitor instance;
return instance;
}
void AddWatchTensor(MonitoredTensor& tensorInfo);
void AddWatchTensor(const std::vector<MonitoredTensor>& tensorInfoLists, uint32_t outputId);
std::unordered_map<uint64_t, MonitoredTensor> GetCmdWatchedTensorsMap();
uint32_t GetCmdWatchedOutputId() const;
std::unordered_map<uint64_t, MonitoredTensor> GetPythonWatchedTensorsMap();
void DeleteWatchTensor(MonitoredTensor& tensorInfo);
void ClearCmdWatchTensor();
bool IsInMonitoring();
private:
TensorMonitor() = default;
~TensorMonitor() = default;
TensorMonitor(const TensorMonitor&) = delete;
TensorMonitor& operator=(const TensorMonitor&) = delete;
private:
uint32_t outputId_ = UINT32_MAX;
std::unordered_map<uint64_t, MonitoredTensor> cmdWatchedTensorsMap_ = {};
std::unordered_map<uint64_t, MonitoredTensor> pythonWatchedTensorsMap_ = {};
std::mutex mapMutex_;
};
}
#endif