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OpenCV 2.4.11 GPU features

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Hi all, I have a Alienware laptop with 2 x GTX880M (SLI) with Windows 10. I have recompiled OpenCV 2.4.11 with CUDA and Cublas option. I'm using CUDA 7.0. I do the same on another computer which have a GTX 980 on Windows 8. I use the same options and also CUDA 7.0. On my Alienware, when running the opencv_test_gpu.exe, I have 1067 failed tests. With my own code using OpenCV CUDA, I'm experiencing crashes and performance issues, I think these strange behaviours may be linked with these tests. [----------] [ GPU INFO ] Run on OS Windows x64. [----------] *** CUDA Device Query (Runtime API) version (CUDART static linking) *** Device count: 2 Device 0: "GeForce GTX 880M" CUDA Driver Version / Runtime Version 7.50 / 7.0 CUDA Capability Major/Minor version number: 3.0 Total amount of global memory: 8192 MBytes (8589934592 bytes) ( 8) Multiprocessors x (192) CUDA Cores/MP: 1536 CUDA Cores GPU Clock Speed: 0.99 GHz Max Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536,65536), 3D=(4096,4096,4096) Max Layered Texture Size (dim) x layers 1D=(16384) x 2048, 2D=(16384,16384) x 2048 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 block: 1024 Maximum sizes of each dimension of a block: 1024 x 1024 x 64 Maximum sizes of each dimension of a grid: 2147483647 x 65535 x 65535 Maximum memory pitch: 2147483647 bytes Texture alignment: 512 bytes Concurrent copy and 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 Concurrent kernel execution: Yes Alignment requirement for Surfaces: Yes Device has ECC support enabled: No Device is using TCC driver mode: No Device supports Unified Addressing (UVA): Yes Device PCI Bus ID / PCI location ID: 7 / 0 Compute Mode: Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 7.50, CUDA Runtime Version = 7.0, NumDevs = 2 [...] Run tests on all supported devices [==========] Running 51682 tests from 128 test cases. [----------] Global test environment set-up. [----------] 4 tests from GPU_Video/FGDStatModel [ RUN ] GPU_Video/FGDStatModel.Update/0 E:\opencv2.4.11-recomp\opencv\sources\modules\gpu\test\test_bgfg.cpp(95): error: Value of: cap.isOpened() Actual: false Expected: true [ FAILED ] GPU_Video/FGDStatModel.Update/0, where GetParam() = (GeForce GTX 880M, "768x576.avi", Channels(3)) (12 ms) [ RUN ] GPU_Video/FGDStatModel.Update/1 E:\opencv2.4.11-recomp\opencv\sources\modules\gpu\test\test_bgfg.cpp(95): error: Value of: cap.isOpened() Actual: false Expected: true [ FAILED ] GPU_Video/FGDStatModel.Update/1, where GetParam() = (GeForce GTX 880M, "768x576.avi", Channels(4)) (3 ms) [ RUN ] GPU_Video/FGDStatModel.Update/2 E:\opencv2.4.11-recomp\opencv\sources\modules\gpu\test\test_bgfg.cpp(95): error: Value of: cap.isOpened() Actual: false Expected: true [ FAILED ] GPU_Video/FGDStatModel.Update/2, where GetParam() = (GeForce GTX 880M, "768x576.avi", Channels(3)) (4 ms) [ RUN ] GPU_Video/FGDStatModel.Update/3 E:\opencv2.4.11-recomp\opencv\sources\modules\gpu\test\test_bgfg.cpp(95): error: Value of: cap.isOpened() Actual: false Expected: true ... [ FAILED ] GPU_ImgProc/WarpPerspectiveNPP.Accuracy/68, where GetParam() = (GeForce GTX 880M, 32FC4, direct, INTER_CUBIC) [ FAILED ] GPU_ImgProc/WarpPerspectiveNPP.Accuracy/69, where GetParam() = (GeForce GTX 880M, 32FC4, inverse, INTER_NEAREST) [ FAILED ] GPU_ImgProc/WarpPerspectiveNPP.Accuracy/70, where GetParam() = (GeForce GTX 880M, 32FC4, inverse, INTER_LINEAR) [ FAILED ] GPU_ImgProc/WarpPerspectiveNPP.Accuracy/71, where GetParam() = (GeForce GTX 880M, 32FC4, inverse, INTER_CUBIC) 1067 FAILED TESTS YOU HAVE 302 DISABLED TESTS Does it look like a normal issue ? On the computer with a GTX 980, the opencv_test_gpu produces a more strange result. [----------] [ GPU INFO ] Run on OS Windows x64. [----------] *** CUDA Device Query (Runtime API) version (CUDART static linking) *** Device count: 1 Device 0: "GeForce GTX 980" CUDA Driver Version / Runtime Version 7.50 / 7.0 CUDA Capability Major/Minor version number: 5.2 Total amount of global memory: 4096 MBytes (4294967296 bytes) GPU Clock Speed: 1.28 GHz Max Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536,65536), 3 D=(4096,4096,4096) Max Layered Texture Size (dim) x layers 1D=(16384) x 2048, 2D=(16384,16 384) x 2048 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 block: 1024 Maximum sizes of each dimension of a block: 1024 x 1024 x 64 Maximum sizes of each dimension of a grid: 2147483647 x 65535 x 65535 Maximum memory pitch: 2147483647 bytes Texture alignment: 512 bytes Concurrent copy and execution: Yes with 2 copy engine(s) Run time limit on kernels: Yes Integrated GPU sharing Host Memory: No Support host page-locked memory mapping: Yes Concurrent kernel execution: Yes Alignment requirement for Surfaces: Yes Device has ECC support enabled: No Device is using TCC driver mode: No Device supports Unified Addressing (UVA): Yes Device PCI Bus ID / PCI location ID: 1 / 0 Compute Mode: Default (multiple host threads can use ::cudaSetDevice() with device simul taneously) deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 7.50, CUDA Runtime Ver sion = 7.0, NumDevs = 1 Run tests on all supported devices [==========] Running 0 tests from 0 test cases. [==========] 0 tests from 0 test cases ran. (1 ms total) [ PASSED ] 0 tests. Press any key to continue . . . F:\OpenCV 2.4.11\opencv\sources\build64\bin\Release>gpu_perf4au.exe [----------] [ INFO ] Implementation variant: cuda. [----------] [----------] [ FAILURE ] Device GeForce GTX 980 is NOT compatible with current GPU module build. [----------] Does someone can help me to understand what's happen ? Thanks for all.

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