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use perf test replace performance sample

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This commit is contained in:
yao
2013-03-27 12:04:48 +08:00
parent 55c9a7c87d
commit 5539e85a11
26 changed files with 3791 additions and 14305 deletions
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105
modules/ocl/perf/perf_fft.cpp
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@@ -15,7 +15,7 @@
// Third party copyrights are property of their respective owners.
//
// @Authors
// Fangfangbai, fangfang@multicorewareinc.com
// Fangfang Bai, fangfang@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
@@ -42,85 +42,48 @@
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "precomp.hpp"
using namespace std;
#ifdef HAVE_CLAMDFFT
////////////////////////////////////////////////////////////////////////////
// Dft
PARAM_TEST_CASE(Dft, cv::Size, bool)
///////////// dft ////////////////////////
TEST(dft)
{
cv::Size dft_size;
bool dft_rows;
vector<cv::ocl::Info> info;
virtual void SetUp()
Mat src, dst;
ocl::oclMat d_src, d_dst;
int all_type[] = {CV_32FC1, CV_32FC2};
std::string type_name[] = {"CV_32FC1", "CV_32FC2"};
for (int size = Min_Size; size <= Max_Size; size *= Multiple)
{
dft_size = GET_PARAM(0);
dft_rows = GET_PARAM(1);
cv::ocl::getDevice(info);
}
};
for (size_t j = 0; j < sizeof(all_type) / sizeof(int); j++)
{
SUBTEST << size << 'x' << size << "; " << type_name[j] << " ; complex-to-complex";
TEST_P(Dft, C2C)
{
cv::Mat a = randomMat(dft_size, CV_32FC2, 0.0, 10.0);
int flags = 0;
flags |= dft_rows ? cv::DFT_ROWS : 0;
gen(src, size, size, all_type[j], Scalar::all(0), Scalar::all(1));
cv::ocl::oclMat d_b;
dft(src, dst);
double totalgputick = 0;
double totalgputick_kernel = 0;
double t1 = 0;
double t2 = 0;
CPU_ON;
dft(src, dst);
CPU_OFF;
for(int j = 0; j < LOOP_TIMES + 1; j ++)
{
d_src.upload(src);
t1 = (double)cvGetTickCount();//gpu start1
WARMUP_ON;
ocl::dft(d_src, d_dst, Size(size, size));
WARMUP_OFF;
cv::ocl::oclMat ga = cv::ocl::oclMat(a); //upload
GPU_ON;
ocl::dft(d_src, d_dst, Size(size, size));
;
GPU_OFF;
t2 = (double)cvGetTickCount(); //kernel
cv::ocl::dft(ga, d_b, a.size(), flags);
t2 = (double)cvGetTickCount() - t2;//kernel
cv::Mat cpu_dst;
d_b.download (cpu_dst);//download
t1 = (double)cvGetTickCount() - t1;//gpu end1
if(j == 0)
continue;
totalgputick = t1 + totalgputick;
totalgputick_kernel = t2 + totalgputick_kernel;
GPU_FULL_ON;
d_src.upload(src);
ocl::dft(d_src, d_dst, Size(size, size));
d_dst.download(dst);
GPU_FULL_OFF;
}
}
cout << "average gpu runtime is " << totalgputick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
cout << "average gpu runtime without data transfer is " << totalgputick_kernel / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
}
TEST_P(Dft, R2CthenC2R)
{
cv::Mat a = randomMat(dft_size, CV_32FC1, 0.0, 10.0);
int flags = 0;
//flags |= dft_rows ? cv::DFT_ROWS : 0; // not supported yet
cv::ocl::oclMat d_b, d_c;
cv::ocl::dft(cv::ocl::oclMat(a), d_b, a.size(), flags);
cv::ocl::dft(d_b, d_c, a.size(), flags + cv::DFT_INVERSE + cv::DFT_REAL_OUTPUT);
EXPECT_MAT_NEAR(a, d_c, a.size().area() * 1e-4, "");
}
//INSTANTIATE_TEST_CASE_P(ocl_DFT, Dft, testing::Combine(
// testing::Values(cv::Size(1280, 1024), cv::Size(1920, 1080),cv::Size(1800, 1500)),
// testing::Values(false, true)));
#endif // HAVE_CLAMDFFT
}