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enabled accuracy tests for the functions that use inside AMD Blas/Fft

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This commit is contained in:
Ilya Lavrenov 2013-10-11 00:00:01 +04:00
parent 1f51e6c0de
commit 1be77dd2f3
11 changed files with 19 additions and 28 deletions
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3
modules/core/include/opencv2/core/types_c.h
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@ -266,7 +266,8 @@ enum {
CV_OpenGlNotSupported= -218,
CV_OpenGlApiCallError= -219,
CV_OpenCLDoubleNotSupported= -220,
CV_OpenCLInitError= -221
CV_OpenCLInitError= -221,
CV_OpenCLNoAMDBlasFft= -222
};
/****************************************************************************************\

2
modules/ocl/CMakeLists.txt
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@ -4,5 +4,5 @@ if(NOT HAVE_OPENCL)
endif()
set(the_description "OpenCL-accelerated Computer Vision")
ocv_define_module(ocl opencv_core opencv_imgproc opencv_features2d opencv_objdetect opencv_video opencv_calib3d opencv_ml)
ocv_define_module(ocl opencv_core opencv_imgproc opencv_features2d opencv_objdetect opencv_video opencv_calib3d opencv_ml "${OPENCL_LIBRARIES}")
ocv_warnings_disable(CMAKE_CXX_FLAGS -Wshadow)

2
modules/ocl/src/fft.cpp
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@ -50,7 +50,7 @@ using namespace cv::ocl;
#if !defined HAVE_CLAMDFFT
void cv::ocl::dft(const oclMat&, oclMat&, Size, int)
{
CV_Error(CV_StsNotImplemented, "OpenCL DFT is not implemented");
CV_Error(CV_OpenCLNoAMDBlasFft, "OpenCL DFT is not implemented");
}
namespace cv { namespace ocl {
void fft_teardown();

4
modules/ocl/src/gemm.cpp
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@ -58,12 +58,12 @@ void clBlasTeardown();
void cv::ocl::gemm(const oclMat&, const oclMat&, double,
const oclMat&, double, oclMat&, int)
{
CV_Error(CV_StsNotImplemented, "OpenCL BLAS is not implemented");
CV_Error(CV_OpenCLNoAMDBlasFft, "OpenCL BLAS is not implemented");
}
void cv::ocl::clBlasSetup()
{
CV_Error(CV_StsNotImplemented, "OpenCL BLAS is not implemented");
CV_Error(CV_OpenCLNoAMDBlasFft, "OpenCL BLAS is not implemented");
}
void cv::ocl::clBlasTeardown()

6
modules/ocl/src/opencl/filtering_laplacian.cl
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@ -211,7 +211,7 @@ __kernel void filter2D(
barrier(CLK_LOCAL_MEM_FENCE);
if(globalRow < rows && globalCol < cols)
{
T_SUM sum = (T_SUM)SUM_ZERO;
T_SUM sum = (T_SUM)(SUM_ZERO);
int filterIdx = 0;
for(int i = 0; i < FILTER_SIZE; i++)
{
@ -291,7 +291,7 @@ __kernel void filter2D_3x3(
T_IMG data = src[mad24(selected_row, src_step, selected_cols)];
int con = selected_row >= 0 && selected_row < wholerows && selected_cols >= 0 && selected_cols < wholecols;
data = con ? data : 0;
data = con ? data : (T_IMG)(0);
local_data[mad24(i, LOCAL_MEM_STEP, lX)] = data;
if(lX < (ANX << 1))
@ -300,7 +300,7 @@ __kernel void filter2D_3x3(
data = src[mad24(selected_row, src_step, selected_cols)];
con = selected_row >= 0 && selected_row < wholerows && selected_cols >= 0 && selected_cols < wholecols;
data = con ? data : 0;
data = con ? data : (T_IMG)(0);
local_data[mad24(i, LOCAL_MEM_STEP, lX) + groupX_size] = data;
}
#else

4
modules/ocl/src/opencl/stereobp.cl
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@ -290,7 +290,7 @@ void message(__global T *us_, __global T *ds_, __global T *ls_, __global T *rs_,
minimum += cmax_disc_term;
float4 sum = 0;
float4 sum = (float4)(0);
prev = convert_float4(t_dst[CNDISP - 1]);
for (int disp = CNDISP - 2; disp >= 0; disp--)
{
@ -308,7 +308,7 @@ void message(__global T *us_, __global T *ds_, __global T *ls_, __global T *rs_,
t_dst[CNDISP - 1] = saturate_cast4(dst_reg);
sum += dst_reg;
sum /= CNDISP;
sum /= (float4)(CNDISP);
#pragma unroll
for(int i = 0, idx = 0; i < CNDISP; ++i, idx+=msg_disp_step)
{

5
modules/ocl/test/test_fft.cpp
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@ -47,8 +47,6 @@
using namespace std;
#ifdef HAVE_CLAMDFFT
////////////////////////////////////////////////////////////////////////////
// Dft
@ -102,9 +100,6 @@ OCL_TEST_P(Dft, R2CthenC2R)
EXPECT_MAT_NEAR(a, d_c, a.size().area() * 1e-4);
}
INSTANTIATE_TEST_CASE_P(OCL_ImgProc, Dft, testing::Combine(
testing::Values(cv::Size(2, 3), cv::Size(5, 4), cv::Size(25, 20), cv::Size(512, 1), cv::Size(1024, 768)),
testing::Values(0, (int)cv::DFT_ROWS, (int)cv::DFT_SCALE) ));
#endif // HAVE_CLAMDFFT

6
modules/ocl/test/test_gemm.cpp
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@ -42,12 +42,13 @@
//
//M*/
#include "test_precomp.hpp"
using namespace std;
#ifdef HAVE_CLAMDBLAS
////////////////////////////////////////////////////////////////////////////
// GEMM
PARAM_TEST_CASE(Gemm, int, cv::Size, int)
{
int type;
@ -81,4 +82,3 @@ INSTANTIATE_TEST_CASE_P(ocl_gemm, Gemm, testing::Combine(
testing::Values(CV_32FC1, CV_32FC2/*, CV_64FC1, CV_64FC2*/),
testing::Values(cv::Size(20, 20), cv::Size(300, 300)),
testing::Values(0, (int)cv::GEMM_1_T, (int)cv::GEMM_2_T, (int)(cv::GEMM_1_T + cv::GEMM_2_T))));
#endif

4
modules/ocl/test/test_kalman.cpp
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@ -46,8 +46,6 @@
#ifdef HAVE_OPENCL
#ifdef HAVE_CLAMDBLAS
using namespace cv;
using namespace cv::ocl;
using namespace cvtest;
@ -147,6 +145,4 @@ OCL_TEST_P(Kalman, Accuracy)
INSTANTIATE_TEST_CASE_P(OCL_Video, Kalman, Combine(Values(3, 7), Values(30)));
#endif // HAVE_CLAMDBLAS
#endif // HAVE_OPENCL

3
modules/ocl/test/test_ml.cpp
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@ -128,8 +128,6 @@ INSTANTIATE_TEST_CASE_P(OCL_ML, KNN, Combine(Values(6, 5), Values(Size(200, 400)
////////////////////////////////SVM/////////////////////////////////////////////////
#ifdef HAVE_CLAMDBLAS
PARAM_TEST_CASE(SVM_OCL, int, int, int)
{
cv::Size size;
@ -307,6 +305,5 @@ INSTANTIATE_TEST_CASE_P(OCL_ML, SVM_OCL, testing::Combine(
Values((int)CvSVM::C_SVC, (int)CvSVM::NU_SVC, (int)CvSVM::ONE_CLASS, (int)CvSVM::NU_SVR),
Values(2, 3, 4)
));
#endif // HAVE_CLAMDBLAS
#endif // HAVE_OPENCL

8
modules/ocl/test/utility.hpp
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@ -291,10 +291,12 @@ CV_FLAGS(DftFlags, DFT_INVERSE, DFT_SCALE, DFT_ROWS, DFT_COMPLEX_OUTPUT, DFT_REA
} \
catch (const cv::Exception & ex) \
{ \
if (ex.code != CV_OpenCLDoubleNotSupported) \
throw; \
else \
if (ex.code == CV_OpenCLDoubleNotSupported)\
std::cout << "Test skipped (selected device does not support double)" << std::endl; \
else if (ex.code == CV_OpenCLNoAMDBlasFft) \
std::cout << "Test skipped (AMD Blas / Fft libraries are not available)" << std::endl; \
else \
throw; \
} \
} \
\