Revision history [back]

• For the 3.0 all tests run fine
• For the 2.4.11 tests, it starts out fine but then crashes somewhere in the process with failed tests.

The errors are all the same

C++ exception with description "/home/spu/Documents/github/opencv_CUDA_2.4/modules/gpu/src/filtering.cpp:368: error: (-217) NPP_CUDA_KERNEL_EXECUTION_ERROR [Code = -1000] in function operator()
" thrown in the test body.
[  FAILED  ] GPU_Filter/Blur.Accuracy/1, where GetParam() = (Quadro K2000, 128x128, 8UC1, KSize(3x3), Anchor([-1, -1]), sub matrix) (165 ms)

No idea yet what the reason is, will take a look at it. NVIDIA Quadro K2000 cards used here.

More detailed card info

spu@TOBCAT:~/Documents/github/opencv_CUDA_2.4/build/bin$ ./opencv_test_gpu 
[----------]
[ GPU INFO ]    Run on OS Linux x64.
[----------]
*** CUDA Device Query (Runtime API) version (CUDART static linking) *** 

Device count: 2

Device 0: "Quadro K2000"
  CUDA Driver Version / Runtime Version          7.50 / 7.0
  CUDA Capability Major/Minor version number:    3.0
  Total amount of global memory:                 2047 MBytes (2145927168 bytes)
  ( 2) Multiprocessors x (192) CUDA Cores/MP:     384 CUDA Cores
  GPU Clock Speed:                               0.95 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:           3 / 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

*** CUDA Device Query (Runtime API) version (CUDART static linking) *** 

Device count: 2

Device 1: "Quadro K2000"
  CUDA Driver Version / Runtime Version          7.50 / 7.0
  CUDA Capability Major/Minor version number:    3.0
  Total amount of global memory:                 2048 MBytes (2147287040 bytes)
  ( 2) Multiprocessors x (192) CUDA Cores/MP:     384 CUDA Cores
  GPU Clock Speed:                               0.95 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:                     No
  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:           129 / 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