[Beignet] possilbe bug when run opencv_test_imgproc
yan.wang at linux.intel.com
yan.wang at linux.intel.com
Fri Oct 24 07:33:11 PDT 2014
Sure. I could try Yang Rong's patch.
BTW, I also meet the following failed cases. Could you please confirm
them? Thanks.
[ FAILED ] 3 tests, listed below:
[ FAILED ] OCL_ImgProc/Canny.Accuracy/8, where GetParam() =
(Channels(3), AppertureSize(3), L2gradient(false), UseRoi(false))
[ FAILED ] OCL_ImgProc/Canny.Accuracy/10, where GetParam() =
(Channels(3), AppertureSize(3), L2gradient(true), UseRoi(false))
[ FAILED ] OCL_Imgproc/HoughLines.RealImage/2, where GetParam() = (1,
0.00872665, 80)
Yan Wang
> I have BYT box, an IVB machine and a HSW notebook. All of them haven't
> this issue.
> Yang rong is working on a race condition patch. This issue may be
> related. You may
> try again once he send out the patch.
>
> On Fri, Oct 24, 2014 at 5:46 PM, <yan.wang at linux.intel.com> wrote:
>> Hi, Zhigang,
>> May your platform also get failed cases when run
>> OCL_ImageProc/Filter2D.Mat* although no crash, because I have only
>> Baytail T platfrom. I am not sure the other platform has the same issue.
>> If yes, I could try to investigate the reason. It may have issue of
>> filter2D OpenCL implementation in OpenCV.
>> Thanks.
>>
>> Yan Wang
>>
>>
>>> Hi, All,
>>> I found one possible bug for review.
>>> if run the following:
>>> ./opencv_test_imgproc --gtest_filter=OCL_ImageProc/Filter2D.Mat*.
>>> OCL_ImageProc/Filter2D.Mat/256 failed and continue. But the whole
>>> test
>>> flow will crash in OCL_ImageProc/Filter2D.Mat/257:
>>> [ FAILED ] OCL_ImageProc/Filter2D.Mat/240, where GetParam() = (CV_8U,
>>> Channels(2), 7, 1, BORDER_CONSTANT, false, false) (6433 ms)
>>> [ RUN ] OCL_ImageProc/Filter2D.Mat/241
>>> [ OK ] OCL_ImageProc/Filter2D.Mat/241 (358 ms)
>>> [ RUN ] OCL_ImageProc/Filter2D.Mat/242
>>> [ OK ] OCL_ImageProc/Filter2D.Mat/242 (311 ms)
>>> [ RUN ] OCL_ImageProc/Filter2D.Mat/243
>>> [ OK ] OCL_ImageProc/Filter2D.Mat/243 (6 ms)
>>> [ RUN ] OCL_ImageProc/Filter2D.Mat/244
>>> [ OK ] OCL_ImageProc/Filter2D.Mat/244 (203 ms)
>>> [ RUN ] OCL_ImageProc/Filter2D.Mat/245
>>> [ OK ] OCL_ImageProc/Filter2D.Mat/245 (207 ms)
>>> [ RUN ] OCL_ImageProc/Filter2D.Mat/246
>>> [ OK ] OCL_ImageProc/Filter2D.Mat/246 (203 ms)
>>> [ RUN ] OCL_ImageProc/Filter2D.Mat/247
>>> [ OK ] OCL_ImageProc/Filter2D.Mat/247 (7 ms)
>>> [ RUN ] OCL_ImageProc/Filter2D.Mat/248
>>> [ OK ] OCL_ImageProc/Filter2D.Mat/248 (210 ms)
>>> [ RUN ] OCL_ImageProc/Filter2D.Mat/249
>>> [ OK ] OCL_ImageProc/Filter2D.Mat/249 (207 ms)
>>> [ RUN ] OCL_ImageProc/Filter2D.Mat/250
>>> [ OK ] OCL_ImageProc/Filter2D.Mat/250 (208 ms)
>>> [ RUN ] OCL_ImageProc/Filter2D.Mat/251
>>> [ OK ] OCL_ImageProc/Filter2D.Mat/251 (7 ms)
>>> [ RUN ] OCL_ImageProc/Filter2D.Mat/252
>>> [ OK ] OCL_ImageProc/Filter2D.Mat/252 (214 ms)
>>> [ RUN ] OCL_ImageProc/Filter2D.Mat/253
>>> [ OK ] OCL_ImageProc/Filter2D.Mat/253 (207 ms)
>>> [ RUN ] OCL_ImageProc/Filter2D.Mat/254
>>> [ OK ] OCL_ImageProc/Filter2D.Mat/254 (212 ms)
>>> [ RUN ] OCL_ImageProc/Filter2D.Mat/255
>>> [ OK ] OCL_ImageProc/Filter2D.Mat/255 (7 ms)
>>> [ RUN ] OCL_ImageProc/Filter2D.Mat/256
>>> /home/yanwang/opencv/modules/imgproc/test/ocl/test_filter2d.cpp:106:
>>> Failure
>>> Expected: (TestUtils::checkNorm2(dst, udst)) <= (threshold), actual:
>>> 255
>>> vs 1
>>> Size: [92 x 61]
>>>
>>> /home/yanwang/opencv/modules/imgproc/test/ocl/test_filter2d.cpp:107:
>>> Failure
>>> Expected: (TestUtils::checkNorm2(dst_roi, udst_roi)) <= (threshold),
>>> actual: 255 vs 1
>>> Size: [92 x 61]
>>>
>>> [ FAILED ] OCL_ImageProc/Filter2D.Mat/256, where GetParam() = (CV_8U,
>>> Channels(2), 7, 4, BORDER_CONSTANT, false, false) (7413 ms)
>>> [ RUN ] OCL_ImageProc/Filter2D.Mat/257
>>> opencv_test_imgproc: /home/yanwang/beignet/src/intel/intel_gpgpu.c:703:
>>> intel_gpgpu_check_binded_buf_address: Assertion
>>> `gpgpu->binded_buf[i]->offset != 0' failed.
>>> Segmentation fault (core dumped)
>>>
>>> But if I run OCL_ImageProc/Filter2D.Mat/257 only, it passed. I think
>>> 256
>>> case may influence it.
>>> Thanks.
>>>
>>> Yan Wang
>>>
>>
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