Unsupported gpu architecture 'compute_11'解决方法

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本文记录了解决在Ubuntu 14.04环境下，使用CUDA 7.0进行OpenCV编译过程中遇到的GPU架构不支持问题。通过设置正确的CUDA_GENERATION参数，成功解决了编译错误。

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环境背景:

由于项目需要，在ubuntu service 14.04 下搭建 OpenCL +OpenCV 环境，前期安装了 CUDA7.0 ，GPU为 NVIDIA TITAN 。

问题描述：
按照网上教程安装OpenCV ，在make 时出现错误，错误提示如下:

[cpp] view plain copy

nvcc fatal : Unsupported gpu architecture 'compute_11'
CMake Error at cuda_compile_generated_matrix_operations.cu.o.cmake:206 (message):
Error generating
/home/smie/Documents/opencv2.4.11/build/modules/core/CMakeFiles/cuda_compile.dir/__/dynamicuda/src/cuda/./cuda_compile_gene
rated_matrix_operations.cu.o
make[2]: ***
[modules/core/CMakeFiles/cuda_compile.dir/__/dynamicuda/src/cuda/./cuda_compile_generated_matrix_operations.cu.o] Error 1
make[1]: *** [modules/core/CMakeFiles/opencv_core.dir/all] Error 2 make[1]: *** Waiting for unfinished jobs....

解决方法:
百度无果，求助万能谷歌。有高人回答如下:

When using cmake to do configurations, set the option CUDA_GENERATION to specific your GPU architecture. I ran across the same error and tried this to work out the problem.
this worked for me and shows a possible value for CUDA_GENERATION:
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D CUDA_GENERATION=Kepler ..

然后，这个问题就奇迹般的解决了。
总结:

[cpp] view plain copy

cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D CUDA_GENERATION=Kepler -D WITH_TBB=ON -D BUILD_NEW_PYTHON_SUPPORT=ON
-D WITH_V4L=ON -D INSTALL_C_EXAMPLES=ON -D INSTALL_PYTHON_EXAMPLES=ON -D BUILD_EXAMPLES=ON -D WITH_QT=OFF -D WITH_OPENGL=ON -D BUILD_TIFF=ON ..

This let me install opencv-2.4.9.

另外一种解决方案:

Another option. Ubuntu 14.04, GTX Titan X, opencv-2.4.10

cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local -D BUILD_TIFF=ON -D BUILD_EXAMPLES=ON -D CUDA_GENERATION=Auto -D BUILD_NEW_PYTHON_SUPPORT=ON ..

I also applied the patch:
https://github.com/Itseez/opencv/pull/3886/files
but I’m not sure whether it ended up being needed. I had tried with and without >CUDA_GENERATION=Maxwell but Maxwell isn’t detected. I did not try >CUDA_GENERATION=Auto prior to the patch, that’s why I don’t know for sure.