/usr/include/c++/11/bits/std_function.h:435:145: error: parameter packs not expanded with ‘...’:

[G7-3208]

I tried to use the command: colcon build -- symlink install -- cmake args - DCMAKE_SUILD_TYPE=Release to build on jetson orin nx super, but encountered the following error. My nvcc - V displays as followsnvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Thu_Nov_18_09:45:25_PST_2021
Cuda compilation tools, release 11.5, V11.5.119
Build cuda_11.5.r11.5/compiler.30672275_0

/usr/include/eigen3/Eigen/src/Core/util/DisableStupidWarnings.h(94): warning #20236-D: pragma "diag_suppress" is deprecated, use "nv_diag_suppress" instead

/usr/include/eigen3/Eigen/src/Core/util/DisableStupidWarnings.h(95): warning #20236-D: pragma "diag_suppress" is deprecated, use "nv_diag_suppress" instead

/usr/include/c++/11/bits/std_function.h:435:145: error: parameter packs not expanded with ‘...’:
435 | function(_Functor&& __f)
| ^
/usr/include/c++/11/bits/std_function.h:435:145: note: ‘_ArgTypes’
/usr/include/c++/11/bits/std_function.h:530:146: error: parameter packs not expanded with ‘...’:
530 | operator=(_Functor&& __f)
| ^
/usr/include/c++/11/bits/std_function.h:530:146: note: ‘_ArgTypes’
CMake Error at autoware_probabilistic_occupancy_grid_map_cuda_generated_utils_kernel.cu.o.Release.cmake:280 (message):
Error generating file
/home/ll/autoware/build/autoware_probabilistic_occupancy_grid_map/CMakeFiles/autoware_probabilistic_occupancy_grid_map_cuda.dir/lib/utils/./autoware_probabilistic_occupancy_grid_map_cuda_generated_utils_kernel.cu.o

gmake[2]: *** [CMakeFiles/autoware_probabilistic_occupancy_grid_map_cuda.dir/build.make:1847：CMakeFiles/autoware_probabilistic_occupancy_grid_map_cuda.dir/lib/utils/autoware_probabilistic_occupancy_grid_map_cuda_generated_utils_kernel.cu.o] 错误 1
gmake[2]: *** 正在等待未完成的任务....
/usr/include/c++/11/bits/std_function.h:435:145: error: parameter packs not expanded with ‘...’:
435 | function(_Functor&& __f)
| ^
/usr/include/c++/11/bits/std_function.h:435:145: note: ‘_ArgTypes’
/usr/include/c++/11/bits/std_function.h:530:146: error: parameter packs not expanded with ‘...’:
530 | operator=(_Functor&& __f)
| ^
/usr/include/c++/11/bits/std_function.h:530:146: note: ‘_ArgTypes’
/usr/include/c++/11/bits/std_function.h:435:145: error: parameter packs not expanded with ‘...’:
435 | function(_Functor&& __f)
| ^
/usr/include/c++/11/bits/std_function.h:435:145: note: ‘_ArgTypes’
/usr/include/c++/11/bits/std_function.h:530:146: error: parameter packs not expanded with ‘...’:
530 | operator=(_Functor&& __f)
| ^
/usr/include/c++/11/bits/std_function.h:530:146: note: ‘_ArgTypes’
CMake Error at autoware_probabilistic_occupancy_grid_map_cuda_generated_occupancy_grid_map_projective_kernel.cu.o.Release.cmake:280 (message):
Error generating file
/home/ll/autoware/build/autoware_probabilistic_occupancy_grid_map/CMakeFiles/autoware_probabilistic_occupancy_grid_map_cuda.dir/lib/costmap_2d/./autoware_probabilistic_occupancy_grid_map_cuda_generated_occupancy_grid_map_projective_kernel.cu.o

gmake[2]: *** [CMakeFiles/autoware_probabilistic_occupancy_grid_map_cuda.dir/build.make:992：CMakeFiles/autoware_probabilistic_occupancy_grid_map_cuda.dir/lib/costmap_2d/autoware_probabilistic_occupancy_grid_map_cuda_generated_occupancy_grid_map_projective_kernel.cu.o] 错误 1
CMake Error at autoware_probabilistic_occupancy_grid_map_cuda_generated_occupancy_grid_map_fixed_kernel.cu.o.Release.cmake:280 (message):
Error generating file
/home/ll/autoware/build/autoware_probabilistic_occupancy_grid_map/CMakeFiles/autoware_probabilistic_occupancy_grid_map_cuda.dir/lib/costmap_2d/./autoware_probabilistic_occupancy_grid_map_cuda_generated_occupancy_grid_map_fixed_kernel.cu.o

gmake[2]: *** [CMakeFiles/autoware_probabilistic_occupancy_grid_map_cuda.dir/build.make:531：CMakeFiles/autoware_probabilistic_occupancy_grid_map_cuda.dir/lib/costmap_2d/autoware_probabilistic_occupancy_grid_map_cuda_generated_occupancy_grid_map_fixed_kernel.cu.o] 错误 1
gmake[1]: *** [CMakeFiles/Makefile2:150：CMakeFiles/autoware_probabilistic_occupancy_grid_map_cuda.dir/all] 错误 2
gmake: *** [Makefile:146：all] 错误 2

Failed <<< autoware_probabilistic_occupancy_grid_map [42.8s, exited with code 2]
Aborted <<< autoware_automatic_pose_initializer [45.1s]

[amadeuszsz]

Hi @G7-3208

I tried to use the command: colcon build -- symlink install -- cmake args - DCMAKE_SUILD_TYPE=Release to build on jetson orin nx super, but encountered the following error. My nvcc - V displays as followsnvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2021 NVIDIA Corporation Built on Thu_Nov_18_09:45:25_PST_2021 Cuda compilation tools, release 11.5, V11.5.119 Build cuda_11.5.r11.5/compiler.30672275_0

Autoware CUDA version is set to 12.4. I suggest you upgrade to Jetpack 6.2.
Speaking about root cause, I'm not entirely sure, but you might have Eigen binaries built with EIGEN_NO_CUDA flag. Or, even though documentation confirms support, there is some issues with gcc 11 & CUDA 11.5, which I don't see.

[G7-3208]

hi @amadeuszsz thank you for your reply
i have already upgrade to Jetpack 6.2,but when i use the command: ./setup-dev-env.sh,
TASK [autoware.dev_env.agnocast : Install linux headers for the running kernel] ************************************************************************************************************************
fatal: [localhost]: FAILED! => {"changed": false, "msg": "No package matching 'linux-headers-5.15.148-tegra' is available"}

PLAY RECAP *********************************************************************************************************************************************************************************************
localhost : ok=26 changed=12 unreachable=0 failed=1 skipped=3 rescued=0 ignored=0

Failed.

[amadeuszsz]

There might be a few packages which can't be installed on Jetson platforms. You can give a try with Docker, agnocast is not included there. If you installed full JetPack, you don't need to install Nvidia drivers. Please, give a try to:

./setup-dev-env.sh docker

and type n (no) if asks to install Nvidia libraries.
Also you will need to download artifacts:

./setup-dev-env.sh -y download_artifacts

Source: https://autowarefoundation.github.io/autoware-documentation/main/installation/autoware/docker-installation/#prerequisites

If agnocast installation would be available for Jetson, you can try to install without Docker via:

./setup-dev-env.sh -y --no-cuda --no-nvidia-drivers

[liuXinGangChina]

hi @G7-3208
I suggest you use aw official arm docker to do that， in that case you don't have to worry about env ，cuda version ... ...
最好用 docker，而且nvidia也预装了docker，建议你把系统装在固态盘上，以免硬盘空间不够

happy hacking

心刚

[G7-3208]

您好，感谢您的回复，我用./setup-dev-env.sh -y docker命令在jetson orin上安装，但是出现TASK [autoware.dev_env.cuda : Install cuda-drivers] ****************************************************************************************************************************************************
fatal: [localhost]: FAILED! => {"cache_update_time": 1751279509, "cache_updated": true, "changed": false, "msg": "'/usr/bin/apt-get -y -o "Dpkg::Options::=--force-confdef" -o "Dpkg::Options::=--force-confold" install 'cuda-drivers=575.57.08-0ubuntu1'' failed: N: 忽略‘ros2.list.save.1’(于目录‘/etc/apt/sources.list.d/’)，鉴于它的文件扩展名无效\n由于已经达到 MaxReports 限制，没有写入 apport 报告\nE: Sub-process /usr/bin/dpkg returned an error code (1)\n", "rc": 100, "stderr": "N: 忽略‘ros2.list.save.1’(于目录‘/etc/apt/sources.list.d/’)，鉴于它的文件扩展名无效\n由于已经达到 MaxReports 限制，没有写入 apport 报告\nE: Sub-process /usr/bin/dpkg returned an error code (1)\n", "stderr_lines": ["N: 忽略‘ros2.list.save.1’(于目录‘/etc/apt/sources.list.d/’)，鉴于它的文件扩展名无效", "由于已经达到 MaxReports 限制，没有写入 apport 报告", "E: Sub-process /usr/bin/dpkg returned an error code (1)"], "stdout": "正在读取软件包列表...\n正在分析软件包的依赖关系树...\n正在读取状态信息...\n下列软件包是自动安装的并且现在不需要了：\n cppcheck fonts-lato gir1.2-gst-plugins-bad-1.0 ignition-tools\n ignition-transport11-cli libavdevice-dev libavfilter-dev libbenchmark-dev\n libbsd-dev libbullet-dev libbullet3.06 libccd-dev libccd2\n libdart-collision-bullet-dev libdart-collision-bullet6.12\n libdart-collision-ode-dev libdart-collision-ode6.12 libdart-dev\n libdart-external-convhull-3d-dev libdart-external-ikfast-dev\n libdart-external-odelcpsolver-dev libdart-external-odelcpsolver6.12\n libdart-utils-dev libdart-utils-urdf-dev libdart-utils-urdf6.12\n libdart-utils6.12 libdart6.12 libdecor-0-dev libegl1-mesa-dev libfcl-dev\n libfcl0.7 libgstreamer-opencv1.0-0 libgts-dev libibus-1.0-dev\n libignition-common4 libignition-common4-av libignition-common4-av-dev\n libignition-common4-core-dev libignition-common4-dev\n libignition-common4-events libignition-common4-events-dev\n libignition-common4-graphics libignition-common4-graphics-dev\n libignition-common4-profiler libignition-common4-profiler-dev\n libignition-fuel-tools7 libignition-fuel-tools7-dev libignition-gazebo6\n libignition-gazebo6-dev libignition-gazebo6-plugins libignition-gui6\n libignition-gui6-dev libignition-math6-eigen3-dev libignition-msgs8\n libignition-msgs8-dev libignition-physics5 libignition-physics5-bullet\n libignition-physics5-bullet-dev libignition-physics5-core-dev\n libignition-physics5-dartsim libignition-physics5-dartsim-dev\n libignition-physics5-dev libignition-physics5-heightmap-dev\n libignition-physics5-mesh-dev libignition-physics5-sdf-dev\n libignition-physics5-tpe libignition-physics5-tpe-dev\n libignition-physics5-tpelib libignition-physics5-tpelib-dev\n libignition-plugin libignition-plugin-dev libignition-rendering6\n libignition-rendering6-core-dev libignition-rendering6-dev\n libignition-rendering6-ogre1 libignition-rendering6-ogre1-dev\n libignition-rendering6-ogre2 libignition-rendering6-ogre2-dev\n libignition-sensors6 libignition-sensors6-air-pressure\n libignition-sensors6-air-pressure-dev libignition-sensors6-altimeter\n libignition-sensors6-altimeter-dev libignition-sensors6-boundingbox-camera\n libignition-sensors6-boundingbox-camera-dev libignition-sensors6-camera\n libignition-sensors6-camera-dev libignition-sensors6-core-dev\n libignition-sensors6-depth-camera libignition-sensors6-depth-camera-dev\n libignition-sensors6-dev libignition-sensors6-force-torque\n libignition-sensors6-force-torque-dev libignition-sensors6-gpu-lidar\n libignition-sensors6-gpu-lidar-dev libignition-sensors6-imu\n libignition-sensors6-imu-dev libignition-sensors6-lidar\n libignition-sensors6-lidar-dev libignition-sensors6-logical-camera\n libignition-sensors6-logical-camera-dev libignition-sensors6-magnetometer\n libignition-sensors6-magnetometer-dev libignition-sensors6-navsat\n libignition-sensors6-navsat-dev libignition-sensors6-rendering\n libignition-sensors6-rendering-dev libignition-sensors6-rgbd-camera\n libignition-sensors6-rgbd-camera-dev\n libignition-sensors6-segmentation-camera\n libignition-sensors6-segmentation-camera-dev\n libignition-sensors6-thermal-camera libignition-sensors6-thermal-camera-dev\n libignition-tools-dev libignition-transport11\n libignition-transport11-core-dev libignition-transport11-dev\n libignition-transport11-log libignition-transport11-log-dev\n libignition-transport11-parameters libignition-transport11-parameters-dev\n libignition-utils1 libignition-utils1-cli-dev libignition-utils1-dev\n libmd-dev libnorm-dev libode-dev libode8 libogre-1.9-dev libogre-1.9.0v5\n libogre-next-dev libogrenexthlmspbs2.2.5 libogrenexthlmsunlit2.2.5\n libogrenextmain2.2.5 libogrenextmeshlodgenerator2.2.5\n libogrenextoverlay2.2.5 libogrenextplanarreflections2.2.5\n libogrenextsceneformat2.2.5 libomp-14-dev libomp-dev libomp5-14 libpgm-dev\n libpostproc-dev libp

PLAY RECAP *********************************************************************************************************************************************************************************************
localhost : ok=7 changed=2 unreachable=0 failed=1 skipped=3 rescued=0 ignored=0

Failed.

[G7-3208]

您好@liuXinGangChina 现在的是出现TASK [autoware.dev_env.cuda : Install cuda-drivers] ****************************************************************************************************************************************************
fatal: [localhost]: FAILED! => {"changed": false, "msg": "No package matching 'cuda-drivers' is available"}

PLAY RECAP *********************************************************************************************************************************************************************************************
localhost : ok=7 changed=0 unreachable=0 failed=1 skipped=3 rescued=0 ignored=0

Failed.

[liuXinGangChina]

1. docker pull ghcr.io/autowarefoundation/autoware:universe-cuda-arm64
2. follow official tutorial 'https://autowarefoundation.github.io/autoware-documentation/main/installation/autoware/docker-installation/' to pull up docker and pull code

实在搞不定加我微信 搜索 “刘心刚”

happy hacking

心刚

[G7-3208]

您好，请问该如何添加您，直接搜索您的名字似乎查找不到用户

[liuXinGangChina]

try this