Check failed: error == cudaSuccess (8 vs. 0) invalid device function

转自：http://blog.csdn.net/u013078356/article/details/51009470

一般情况下都是因为显卡的计算能力不同而导致的（这里假设你前面的步骤都无误），修改 py-faster-rcnn/lib/setup.py 的第135行，将arch改为与你显卡相匹配的数值，（比如我的GTX 760，计算能力是3.0，就将sm_35改成了sm_30）然后删除utils/bbox.c，nms/cpu_nms.c ，nms/gpu_nms.cpp 重新编译即可

我看到有些人说还有其他的问题，那么可以在最开始的makefile.config文件中就开始修改，不过我没有试过,具体步骤如下

As below, there is my solution (thress steps):
1 if you're using the GPU instance on AWS, then please change the architecture setting into:
# CUDA architecture setting: going with all of them.
# For CUDA < 6.0, comment the *_50 lines for compatibility.
CUDA_ARCH := -gencode arch=compute_30,code=sm_30 \
-gencode arch=compute_50,code=sm_50 \
-gencode arch=compute_50,code=compute_50
Because the GPU in AWS does not support compute_35
2 I changed sm_35 into sm_30 in lib/setup.py file
3 cd lib, remove these files: utils/bbox.c nms/cpu_nms.c nms/gpu_nms.cpp, if they exist.
And then make && cd ../caffe/ && make clean && make -j8 && make pycaffe -j8