I am trying to build opencv 3.1.0 with cuda 8.0 in ubuntu 14.04
- I first installed cuda 8.0, and nvidia diriver: 375.26.
- cmake:
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -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=ON -D WITH_OPENGL=ON -D ENABLE_FAST_MATH=1 -D CUDA_FAST_MATH=1 -D WITH_CUBLAS=1 -DOPENCV_EXTRA_MODULES_PATH=/home/lindeyang/library/opencv_contrib/modules .. ..
the results shows:
shows:
-- Use Cuda: YES (ver 7.5)
-- Use OpenCL: YES
-- Use OpenVX: NO NO
-- Use custom HAL: NO NO
--
-- NVIDIA CUDA
-- Use CUFFT: YES
-- Use CUBLAS: YES
-- USE NVCUVID: NO
-- NVIDIA GPU arch: 20 30 35 37 50 52
-- NVIDIA PTX archs: archs:
-- Use fast math: YES YES
--
-- OpenCL: <dynamic loading="" of="" opencl="" library="">
<Dynamic loading of OpenCL library>
-- Include path: /home/lindeyang/library/opencv/3rdparty/include/opencl/1.2
-- Use AMDFFT: NO
-- Use AMDBLAS: NONO
The cuda is found
Then make
make,
it shows :
:
[ 12%] [ 12%] Generating perf_precomp.hpp.gch/opencv_perf_reg_RELEASE.gch
Generating precomp.hpp.gch/opencv_reg_RELEASE.gch
[ 12%] Generating test_precomp.hpp.gch/opencv_test_reg_RELEASE.gch
[ 12%] Generating precomp.hpp.gch/opencv_surface_matching_RELEASE.gch
In file included from /home/lindeyang/library/opencv/build/modules/core/precomp.hpp:56:0:
/home/lindeyang/library/opencv/modules/core/include/opencv2/core/private.cuda.hpp:70:6: error: #error "Insufficient Cuda Runtime library version, please update it."
# error "Insufficient Cuda Runtime library version, please update it."
^^
The main errors shows is :
error
#error
"Insufficient Cuda Runtime library version, please update
it."it."
However, Now I am using the latest version of Cuda 8.0 and the latest version driver 375.26.
Can anyone help?
Thanks a lot.
Additional:
the results from deviceQuery:
Detected 1 CUDA Capable
device(s) device(s)
Device 0: "GeForce GTX 960M"
CUDA Driver Version / Runtime Version 8.0 / 8.0
CUDA Capability Major/Minor version number: 5.0
Total amount of global memory: 4044 MBytes (4240375808 bytes)
( 5) Multiprocessors, (128) CUDA Cores/MP: 640 CUDA Cores
GPU Max Clock rate: 1176 MHz (1.18 GHz)
Memory Clock rate: 2505 Mhz
Memory Bus Width: 128-bit
L2 Cache Size: 2097152 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096)
Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(16384, 16384), 2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total number of registers available per block: 65536
Warp size: 32
Maximum number of threads per multiprocessor: 2048
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 1 copy engine(s)
Run time limit on kernels: Yes
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): Yes
Device PCI Domain ID / Bus ID / location ID: 0 / 1 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously)
> >
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 8.0, CUDA Runtime Version = 8.0, NumDevs = 1, Device0 = GeForce GTX 960M
Result =
PASSPASS
the results from nvidia-smi
nvidia-smi
Fri Dec 16 12:59:01 2016
+-------------------------------+----------------------+----------------------+ +-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 1184 G /usr/lib/xorg/Xorg 235MiB |
| 0 2000 G compiz 78MiB |
+-----------------------------------------------------------------------------+ +-----------------------------------------------------------------------------+
the results after I add: -DCUDA_ARCH_BIN="5.0" -DCUDA_ARCH_PTX="5.0" -DCUDA_ARCH_PTX="5.0"
-- Use Cuda: YES (ver 7.5)
-- Use OpenCL: YES
-- Use OpenVX: NO NO
-- Use custom HAL: NO NO
--
-- NVIDIA CUDA
-- Use CUFFT: YES
-- Use CUBLAS: YES
-- USE NVCUVID: NO
-- NVIDIA GPU arch: 50
-- NVIDIA PTX archs: 50
-- Use fast math: YESYES
the cuda is found
