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, <[email protected]> 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 >>> >> >> _______________________________________________ >> Beignet mailing list >> [email protected] >> http://lists.freedesktop.org/mailman/listinfo/beignet > _______________________________________________ Beignet mailing list [email protected] http://lists.freedesktop.org/mailman/listinfo/beignet
