[Beignet] possilbe bug when run opencv_test_imgproc

[He Junyan]

`gpgpu->binded_buf[i]->offset != 0' failed.
 Segmentation fault (core dumped)

Sometimes this kind of assert may have relationship with multi-thread
bug.


On 四, 2014-10-23 at 06:12 -0700, yan.wang at linux.intel.com wrote:
> Update:
> Under root account, it will crash.
> Under user account(e.g. yanwang), it will pass.
> 
> > In my baytail T platform, it is still exist.
> >
> >> Before leaving office, I have built the latest beignet. I will try it
> >> again tomorrow.
> >> Thanks.
> >>
> >> Yan Wang
> >>
> >>> Can't reproduce it here. Did you use the latest git master?
> >>>
> >>> The latest git version is
> >>> commit 33a043e903f9d61445d3fb7972becf83c2842276
> >>> Author: Junyan He <junyan.he at linux.intel.com>
> >>> Date:   Thu Oct 23 13:09:00 2014 +0800
> >>>
> >>>     Add the disasm support for Gen8
> >>>
> >>>     Signed-off-by: Junyan He <junyan.he at linux.intel.com>
> >>>     Reviewed-by: Zhigang Gong <zhigang.gong at linux.intel.com>
> >>>     Reviewed-by: "Yang, Rong R" <rong.r.yang at intel.com>
> >>>
> >>>
> >>> Just a reminder, when report a bug/issue, please update to the latest
> >>> git
> >>> master version and test it again and if it could reproduce please write
> >>> done the git hash in the report.
> >>>
> >>> Thanks,
> >>> Zhigang Gong.
> >>>
> >>> On Thu, Oct 23, 2014 at 03:24:01AM -0700, yan.wang at linux.intel.com
> >>> wrote:
> >>>> 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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