編譯依賴ndt_gpu庫的包,遇到Eigen報錯

背景html

使用NDT建圖,幀率比較慢,打算使用gpu加速計算。c++

ndt_gpu是一個使用gpu加速ndt計算的庫,首先在工做空間編譯這個包。this

而後在ndtMap包中連接這個庫,其CMakelists.txt添加以下內容,spa

SET(CUDA_INCLUDE_DIRS /usr/local/cuda-10.0/include)
find_package(CUDA)
if (CUDA_FOUND)
    add_definitions(-DCUDA_FOUND)
    list(APPEND PCL_OPENMP_PACKAGES ndt_gpu)
endif ()

find_package(catkin REQUIRED COMPONENTS
            ${PCL_OPENMP_PACKAGES}
            )

編譯成功!.net

運行卻報錯以下:code

ndtMap: /usr/local/gtsam/include/gtsam/3rdparty/Eigen/Eigen/src/Core/DenseStorage.h:109: 
Eigen::internal::plain_array<T, Size, MatrixOrArrayOptions, 16>::plain_array() [with T = float; int Size = 16; int MatrixOrArrayOptions = 0]: 
Assertion `(internal::UIntPtr(eigen_unaligned_array_assert_workaround_gcc47(array)) & (15)) == 0 && 
"this assertion is explained here: " "http://eigen.tuxfamily.org/dox-devel/group__TopicUnalignedArrayAssert.html" " 
**** READ THIS WEB PAGE !!! ****"' failed.
Aborted (core dumped)

 

問題解決思路htm

https://blog.csdn.net/wojiushixiangshi/article/details/78356271blog

http://eigen.tuxfamily.org/dox-devel/group__TopicUnalignedArrayAssert.html (更多詳情須要參考這個網址)it

 

解決方案:io

在ndt_gpu庫的CMakeLists.txt中添加下述指令,從新編譯便可。

SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++0x -O3 -mtune=native ")
相關文章
相關標籤/搜索