generic-library/opencv
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

Updated optimal block size estimation for the convolve() function

Browse Source
This commit is contained in:
Alexey Spizhevoy
2011-10-03 14:05:52 +00:00
parent bee68e519a
commit 8a799aa89a
5 changed files with 37 additions and 16 deletions
Download Patch File Download Diff File Expand all files Collapse all files

12
modules/gpu/perf/perf_imgproc.cpp
View File

@@ -735,16 +735,18 @@ PERF_TEST_P(DevInfo_Size, dft, testing::Combine(testing::ValuesIn(devices()),
SANITY_CHECK(dst_host);
}
PERF_TEST_P(DevInfo_Size, convolve, testing::Combine(testing::ValuesIn(devices()),
testing::Values(GPU_TYPICAL_MAT_SIZES)))
PERF_TEST_P(DevInfo_Int_Int, convolve, testing::Combine(testing::ValuesIn(devices()),
testing::Values(512, 1024, 1536, 2048, 2560, 3072, 3584),
testing::Values(27, 32, 64)))
{
DeviceInfo devInfo = std::tr1::get<0>(GetParam());
Size size = std::tr1::get<1>(GetParam());
int image_size = std::tr1::get<1>(GetParam());
int templ_size = std::tr1::get<2>(GetParam());
setDevice(devInfo.deviceID());
Mat image_host(size, CV_32FC1);
Mat templ_host(size, CV_32FC1);
Mat image_host(image_size, image_size, CV_32FC1);
Mat templ_host(templ_size, templ_size, CV_32FC1);
declare.in(image_host, templ_host, WARMUP_RNG);