[Beignet] possilbe bug when run opencv_test_imgproc
yan.wang at linux.intel.com
yan.wang at linux.intel.com
Thu Oct 23 06:04:47 PDT 2014
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
>>> _______________________________________________
>>> Beignet mailing list
>>> Beignet at lists.freedesktop.org
>>> http://lists.freedesktop.org/mailman/listinfo/beignet
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