内存越界|内存泄漏检测方法

内存泄漏检测可在CMakeLists.txt 文件中，添加 -fsanitize=leak

set(CMAKE_CXX_FLAGS "-fsanitize=leak -std=c++11 -g -Wall -Wno-unused-result -DROS ${CMAKE_CXX_FLAGS}")

g++ 加上 -fsanitize=leak 选项后，能打印内存泄漏时的堆栈。【进程运行结束或用 SIGINT 杀掉后，会打印内存泄漏的堆栈信息到标准出错】

内存错误操作可在CMakeLists.txt里面加上如下编译选项

set(CMAKE_CXX_FLAGS "-fsanitize=address -fno-omit-frame-pointer ${CMAKE_CXX_FLAGS}" )

当然，上述编译选项可以输出leak信息

内存错误操作：-fsanitize=address

多线程竞争：-fsanitize=thread

内存泄漏：-fsanitize=leak

未定义操作：-fsanitize=undefined（如：除0、空指针解引用、枚举值超范围、使用未初始化的变量值等）

#告诉address检测到异常不退出进程

set(ENV{ASAN_OPTIONS} "halt_on_error=0")

运行时可能会出现以下内存问题

对输出的ERROR重定向报错日志： roslaunch perception_lidar.launch 2> /home/mogo/data/yangdaiyu/address.log

1、AddressSanitizer: stack-use-after-scope on address

2、AddressSanitizer: attempting free on address which was not malloc()-ed

• /data/autocar/yangdaiyu/perception_ws/src/perception/lidar/robosense/modules/perception/lidar/ai_detection/src/pointpillars/pointpillars_ai_detection.cpp
  msg_ptr->scan_ptr.reset(new PointCloud)
  改：msg_ptr->resetMsg();

3、AddressSanitizer: alloc-dealloc-mismatch (operator new \[\] vs operator delete)

• /data/autocar/yangdaiyu/perception_ws/src/perception/lidar/robosense/modules/perception/lidar/ai_detection/src/pointpillars/postprocess_cuda.cu

  auto output = std::shared_ptr(new floatnum_obj \* 9);

  改：

  auto output = std::shared_ptr(new floatnum_obj \* 9, \[\](float* p) { delete\[\] p; });

• /data/autocar/yangdaiyu/perception_ws/src/perception/lidar/robosense/modules/perception/lidar/util/segmentor/src/rs_segmentor.cpp

  seg_scan_x_mat.reset(new intgrid_size);

  seg_scan_y_mat.reset(new intgrid_size);
  智能指针对new的空间，若不指定释放方式，默认采用delete去释放，对于new数组空间无法全部释放，因此需要指定释放方式，如下：

  seg_scan_x_mat.reset(new intgrid_size, \[\](int* p) { delete\[\] p; });

  seg_scan_y_mat.reset(new intgrid_size, \[\](int* p) { delete\[\] p; });

  seed_mat.reset(new intgrid_size, \[\](int* p) { delete\[\] p; });

  bin_mat.reset(new intgrid_size, \[\](int* p) { delete\[\] p; });

  label_mat.reset(new intgrid_size, \[\](int* p) { delete\[\] p; });

• perception/lidar/robosense/modules/common/src/basic_type/rotate_box.cpp:198 std::shared_ptr distPt;

  distPt.reset(new doubleN \* N, \[\](int* p) { delete\[\] p;});

  std::shared_ptr ptDistRemap;

  ptDistRemap.reset(new intN, \[\](int* p) { delete\[\] p;});

4、AddressSanitizer: heap-buffer-overflow on address 堆缓冲区溢出

• size越界保护
  if(track_object->track_type != ObjectType::UNKNOW) //加上类型判断，AI的polygon是4个点，但RB目标可能只有3个点，会超出界限

  {

  for(int i = 1; i < 4; ++i){

  if(track_object->object->polygonsi.norm() < track_object->object->polygonsindex_corner_cur.norm()){

  index_corner_cur = i;

  index_corner_last = i;

  }

  }

  }

• Eigen::internal::handmade_aligned_free(void*)
  在CMakeLists.txt里面加上add_definitions(-DPCL_NO_PRECOMPILE=ON)可以通过
  此问题时PCL里的bug，升级PCL版本也可以解

5、LeakSanitizer: detected memory leaks

• perception/lidar/robosense/modules/perception/infer/src/rs_trt_infer.cpp:156

  #0 0x7fb54b343b in operator new(unsigned long) (/usr/lib/aarch64-linux-gnu/libasan.so.4+0xd243b)

  #1 0x7f9ef34143 (/usr/lib/aarch64-linux-gnu/libnvinfer.so.7+0x4e7143)

  #2 0x7f9f01dc77 in nvinfer1::rt::SafeEngine::deserializeCoreEngine(nvinfer1::rt::CoreReadArchive&, std::vector<nvinfer1::rt::EngineLayerAttribute, std::allocatornvinfer1::rt::EngineLayerAttribute >&) (/usr/lib/aarch64-linux-gnu/libnvinfer.so.7+0x5d0c77)

  #3 0x7f9ed9f3b7 in nvinfer1::rt::Engine::deserialize(void const*, unsigned long, nvinfer1::IGpuAllocator&, nvinfer1::IPluginFactory*) (/usr/lib/aarch64-linux-gnu/libnvinfer.so.7+0x3523b7)

  #4 0x7f9eda7f53 in nvinfer1::Runtime::deserializeCudaEngine(void const*, unsigned long, nvinfer1::IPluginFactory*) (/usr/lib/aarch64-linux-gnu/libnvinfer.so.7+0x35af53)

  infer->deserializeCudaEngine(cahce_engine.c_str(), cahce_engine.size(), nullptr);