updated gpu performance tests

now it executes only on one device
added posibility to specify device on which tests will be executed
This commit is contained in:
Vladislav Vinogradov
2012-08-17 15:14:14 +04:00
parent ddca47040b
commit 6e4eb722a6
13 changed files with 2079 additions and 2853 deletions

View File

@@ -1,141 +1,115 @@
#include "perf_precomp.hpp"
#ifdef HAVE_CUDA
using namespace std;
using namespace testing;
namespace {
//////////////////////////////////////////////////////////////////////
// SetTo
GPU_PERF_TEST(SetTo, cv::gpu::DeviceInfo, cv::Size, MatType)
PERF_TEST_P(Sz_Depth_Cn, MatOp_SetTo, Combine(GPU_TYPICAL_MAT_SIZES, Values(CV_8U, CV_16U, CV_32F, CV_64F), Values(1, 3, 4)))
{
cv::gpu::DeviceInfo devInfo = GET_PARAM(0);
cv::gpu::setDevice(devInfo.deviceID());
cv::Size size = GET_PARAM(0);
int depth = GET_PARAM(1);
int channels = GET_PARAM(2);
cv::Size size = GET_PARAM(1);
int type = GET_PARAM(2);
int type = CV_MAKE_TYPE(depth, channels);
cv::gpu::GpuMat src(size, type);
cv::Scalar val(1, 2, 3, 4);
src.setTo(val);
cv::gpu::GpuMat d_src(size, type);
d_src.setTo(val);
TEST_CYCLE()
{
src.setTo(val);
d_src.setTo(val);
}
}
INSTANTIATE_TEST_CASE_P(MatOp, SetTo, testing::Combine(
ALL_DEVICES,
GPU_TYPICAL_MAT_SIZES,
testing::Values(MatType(CV_8UC1), MatType(CV_8UC3), MatType(CV_8UC4),
MatType(CV_16UC1), MatType(CV_16UC3), MatType(CV_16UC4),
MatType(CV_32FC1), MatType(CV_32FC3), MatType(CV_32FC4),
MatType(CV_64FC1), MatType(CV_64FC3), MatType(CV_64FC4))));
//////////////////////////////////////////////////////////////////////
// SetToMasked
GPU_PERF_TEST(SetToMasked, cv::gpu::DeviceInfo, cv::Size, MatType)
PERF_TEST_P(Sz_Depth_Cn, MatOp_SetToMasked, Combine(GPU_TYPICAL_MAT_SIZES, Values(CV_8U, CV_16U, CV_32F, CV_64F), Values(1, 3, 4)))
{
cv::gpu::DeviceInfo devInfo = GET_PARAM(0);
cv::gpu::setDevice(devInfo.deviceID());
cv::Size size = GET_PARAM(0);
int depth = GET_PARAM(1);
int channels = GET_PARAM(2);
cv::Size size = GET_PARAM(1);
int type = GET_PARAM(2);
int type = CV_MAKE_TYPE(depth, channels);
cv::Mat src_host(size, type);
fill(src_host, 0, 255);
cv::Mat src(size, type);
fillRandom(src);
cv::Mat mask_host(size, CV_8UC1);
fill(mask_host, 0, 2);
cv::Mat mask(size, CV_8UC1);
fillRandom(mask, 0, 2);
cv::gpu::GpuMat src(src_host);
cv::Scalar val(1, 2, 3, 4);
cv::gpu::GpuMat mask(mask_host);
src.setTo(val, mask);
cv::gpu::GpuMat d_src(src);
cv::gpu::GpuMat d_mask(mask);
d_src.setTo(val, d_mask);
TEST_CYCLE()
{
src.setTo(val, mask);
d_src.setTo(val, d_mask);
}
}
INSTANTIATE_TEST_CASE_P(MatOp, SetToMasked, testing::Combine(
ALL_DEVICES,
GPU_TYPICAL_MAT_SIZES,
testing::Values(MatType(CV_8UC1), MatType(CV_8UC3), MatType(CV_8UC4),
MatType(CV_16UC1), MatType(CV_16UC3), MatType(CV_16UC4),
MatType(CV_32FC1), MatType(CV_32FC3), MatType(CV_32FC4),
MatType(CV_64FC1), MatType(CV_64FC3), MatType(CV_64FC4))));
//////////////////////////////////////////////////////////////////////
// CopyToMasked
GPU_PERF_TEST(CopyToMasked, cv::gpu::DeviceInfo, cv::Size, MatType)
PERF_TEST_P(Sz_Depth_Cn, MatOp_CopyToMasked, Combine(GPU_TYPICAL_MAT_SIZES, Values(CV_8U, CV_16U, CV_32F, CV_64F), Values(1, 3, 4)))
{
cv::gpu::DeviceInfo devInfo = GET_PARAM(0);
cv::gpu::setDevice(devInfo.deviceID());
cv::Size size = GET_PARAM(0);
int depth = GET_PARAM(1);
int channels = GET_PARAM(2);
cv::Size size = GET_PARAM(1);
int type = GET_PARAM(2);
int type = CV_MAKE_TYPE(depth, channels);
cv::Mat src_host(size, type);
fill(src_host, 0, 255);
cv::Mat src(size, type);
fillRandom(src);
cv::Mat mask_host(size, CV_8UC1);
fill(mask_host, 0, 2);
cv::Mat mask(size, CV_8UC1);
fillRandom(mask, 0, 2);
cv::gpu::GpuMat src(src_host);
cv::gpu::GpuMat mask(mask_host);
cv::gpu::GpuMat dst;
cv::gpu::GpuMat d_src(src);
cv::gpu::GpuMat d_mask(mask);
cv::gpu::GpuMat d_dst;
src.copyTo(dst, mask);
d_src.copyTo(d_dst, d_mask);
TEST_CYCLE()
{
src.copyTo(dst, mask);
d_src.copyTo(d_dst, d_mask);
}
}
INSTANTIATE_TEST_CASE_P(MatOp, CopyToMasked, testing::Combine(
ALL_DEVICES,
GPU_TYPICAL_MAT_SIZES,
testing::Values(MatType(CV_8UC1), MatType(CV_8UC3), MatType(CV_8UC4),
MatType(CV_16UC1), MatType(CV_16UC3), MatType(CV_16UC4),
MatType(CV_32FC1), MatType(CV_32FC3), MatType(CV_32FC4),
MatType(CV_64FC1), MatType(CV_64FC3), MatType(CV_64FC4))));
//////////////////////////////////////////////////////////////////////
// ConvertTo
GPU_PERF_TEST(ConvertTo, cv::gpu::DeviceInfo, cv::Size, MatDepth, MatDepth)
DEF_PARAM_TEST(Sz_2Depth, cv::Size, MatDepth, MatDepth);
PERF_TEST_P(Sz_2Depth, MatOp_ConvertTo, Combine(GPU_TYPICAL_MAT_SIZES, Values(CV_8U, CV_16U, CV_32F, CV_64F), Values(CV_8U, CV_16U, CV_32F, CV_64F)))
{
cv::gpu::DeviceInfo devInfo = GET_PARAM(0);
cv::gpu::setDevice(devInfo.deviceID());
cv::Size size = GET_PARAM(0);
int depth1 = GET_PARAM(1);
int depth2 = GET_PARAM(2);
cv::Size size = GET_PARAM(1);
int depth1 = GET_PARAM(2);
int depth2 = GET_PARAM(3);
cv::Mat src(size, depth1);
fillRandom(src);
cv::Mat src_host(size, depth1);
fill(src_host, 0, 255);
cv::gpu::GpuMat d_src(src);
cv::gpu::GpuMat d_dst;
cv::gpu::GpuMat src(src_host);
cv::gpu::GpuMat dst;
src.convertTo(dst, depth2, 0.5, 1.0);
d_src.convertTo(d_dst, depth2, 0.5, 1.0);
TEST_CYCLE()
{
src.convertTo(dst, depth2, 0.5, 1.0);
d_src.convertTo(d_dst, depth2, 0.5, 1.0);
}
}
INSTANTIATE_TEST_CASE_P(MatOp, ConvertTo, testing::Combine(
ALL_DEVICES,
GPU_TYPICAL_MAT_SIZES,
testing::Values(MatDepth(CV_8U), MatDepth(CV_16U), MatDepth(CV_32F), MatDepth(CV_64F)),
testing::Values(MatDepth(CV_8U), MatDepth(CV_16U), MatDepth(CV_32F), MatDepth(CV_64F))));
#endif
} // namespace