tensorrt_yolo/lidar_centerpoint - Build Failed - "Workspace is too small!"

[harishkumarbalaji]

Checklist

• I've read the contribution guidelines.
• I've searched other issues and no duplicate issues were found.
• I'm convinced that this is not my fault but a bug.

Description

Hello Team, I am sure that my PC meets the basic requirements and when I try to build the awsim-stable branch I get an error "Workspace is too small!" when trying to build the tensorrt_yolo or lidar_centerpoint package.

My Laptop Specs,

• 16GB RAM with 32GB Swap
• i7 - 9th gen - 12 core
• 500GB SSHD
• Nvidia GeForce GTX 1660 Ti Mobile - 6GB
• Ubuntu 22
• Development Docker(latest-cuda) image
• Cuda and Nvidia-docker2 installed

Note: I tried the Troubleshooting# steps for memory but no luck.

Expected behavior

All the packages should be built as per the documentation - https://autowarefoundation.github.io/autoware-documentation/main/installation/autoware/docker-installation-devel/

Actual behavior

/home/hkb/autoware/src/universe/autoware.universe/perception/tensorrt_yolo/lib/include/cuda_utils.hpp(110): error: namespace "cuda::std" has no member "runtime_error"
      throw std::runtime_error("Workspace is too small!");
                 ^

6 errors detected in the compilation of "/home/hkb/autoware/src/universe/autoware.universe/perception/tensorrt_yolo/lib/src/plugins/nms.cu".
CMake Error at nms_plugin_generated_nms.cu.o.Release.cmake:280 (message):
  Error generating file
  /home/hkb/autoware/build/tensorrt_yolo/CMakeFiles/nms_plugin.dir/lib/src/plugins/./nms_plugin_generated_nms.cu.o

gmake[2]: *** [CMakeFiles/nms_plugin.dir/build.make:1189: CMakeFiles/nms_plugin.dir/lib/src/plugins/nms_plugin_generated_nms.cu.o] Error 1
gmake[1]: *** [CMakeFiles/Makefile2:198: CMakeFiles/nms_plugin.dir/all] Error 2
gmake: *** [Makefile:146: all] Error 2
---
Failed   <<< tensorrt_yolo [5.26s, exited with code 2]

Steps to reproduce

colcon build --symlink-install --cmake-args -DCMAKE_BUILD_TYPE=Release

inside latest-cuda docker container.

Versions

No response

Possible causes

No response

Additional context

No response

[xmfcx]

error: namespace "cuda::std" has no member "runtime_error"

Here the error is about compilation, not that you have this std::runtime_error("Workspace is too small!") error.

Could you run nvcc -V in the docker container and share the results?

[harishkumarbalaji]

error: namespace "cuda::std" has no member "runtime_error"

Here the error is about compilation, not that you have this std::runtime_error("Workspace is too small!") error.

Could you run nvcc -V in the docker container and share the results?

I am using ghcr.io/autowarefoundation/autoware-universe:latest-cuda but nvcc -V command is not working inside docker container

bash: nvcc: command not found

But after updating the PATH to detect cuda, using,

echo 'export PATH=/usr/local/cuda/bin${PATH:+:${PATH}}' >> ~/.bashrc
echo 'export LD_LIBRARY_PATH=/usr/local/cuda/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}' >> ~/.bashrc

I get this output,

nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2023 NVIDIA Corporation
Built on Wed_Nov_22_10:17:15_PST_2023
Cuda compilation tools, release 12.3, V12.3.107
Build cuda_12.3.r12.3/compiler.33567101_0

[xmfcx]

This issue was discussed on this Autoware Discord Thread

Problem Cause:

• awsim-stable branch is on old CUDA version of the Autoware.
• a08fc46
  • This is the commit that updated the CUDA 11.6 to 12.3 .
  • The docker image generated right before that should work hopefully.

Actions proposed:

For a temporary solution,

• https://github.com/autowarefoundation/autoware/pkgs/container/autoware-universe/143454896?tag=humble-20231101-prebuilt-cuda
  • This image should be tested out.

[harishkumarbalaji]

Thanks for the reply, I tried with ghcr.io/autowarefoundation/autoware-universe:humble-20231101-cuda docker image in the awsim-stable branch and the tensorrt_yolo package is building successfully. Leaving this issue open as I can see this issue is going to be taken care of by Simulation WG. Feel free to close this issue if required. Thanks a lot for the help.