Open Source Computer Vision Library https://opencv.org/
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
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// If you do not agree to this license, do not download, install,
// copy or use the software.
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//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2010-2013, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
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// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
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#include "test_precomp.hpp"
#include "opencv2/ocl/cl_runtime/cl_runtime.hpp" // for OpenCL types & functions
TEST(TestAPI, openCLExecuteKernelInterop)
{
cv::RNG rng;
Size sz(10000, 1);
cv::Mat cpuMat = cvtest::randomMat(rng, sz, CV_32FC4, -10, 10, false);
cv::ocl::oclMat gpuMat(cpuMat);
cv::ocl::oclMat gpuMatDst(sz, CV_32FC4);
const char* kernelStr =
"__kernel void test_kernel(__global float4* src, __global float4* dst) {\n"
" int x = get_global_id(0);\n"
" dst[x] = src[x];\n"
"}\n";
cv::ocl::ProgramSource program("test_interop", kernelStr);
using namespace std;
vector<pair<size_t , const void *> > args;
args.push_back( make_pair( sizeof(cl_mem), (void *) &gpuMat.data ));
args.push_back( make_pair( sizeof(cl_mem), (void *) &gpuMatDst.data ));
size_t globalThreads[3] = { sz.width, 1, 1 };
cv::ocl::openCLExecuteKernelInterop(
gpuMat.clCxt,
program,
"test_kernel",
globalThreads, NULL, args,
-1, -1,
"");
cv::Mat dst;
gpuMatDst.download(dst);
EXPECT_LE(checkNorm(cpuMat, dst), 1e-3);
}
// This test must be DISABLED by default!
// (We can't restore original context for other tests)
TEST(TestAPI, DISABLED_InitializationFromHandles)
{
#define MAX_PLATFORMS 16
cl_platform_id platforms[MAX_PLATFORMS] = { NULL };
cl_uint numPlatforms = 0;
cl_int status = ::clGetPlatformIDs(MAX_PLATFORMS, &platforms[0], &numPlatforms);
ASSERT_EQ(CL_SUCCESS, status) << "clGetPlatformIDs";
ASSERT_NE(0, (int)numPlatforms);
int selectedPlatform = 0;
cl_platform_id platform = platforms[selectedPlatform];
ASSERT_NE((void*)NULL, platform);
cl_device_id device = NULL;
status = ::clGetDeviceIDs(platform, CL_DEVICE_TYPE_ALL, 1, &device, NULL);
ASSERT_EQ(CL_SUCCESS, status) << "clGetDeviceIDs";
ASSERT_NE((void*)NULL, device);
cl_context_properties cps[3] = { CL_CONTEXT_PLATFORM, (cl_context_properties)(platform), 0 };
cl_context context = ::clCreateContext(cps, 1, &device, NULL, NULL, &status);
ASSERT_EQ(CL_SUCCESS, status) << "clCreateContext";
ASSERT_NE((void*)NULL, context);
ASSERT_NO_THROW(cv::ocl::initializeContext(&platform, &context, &device));
status = ::clReleaseContext(context);
ASSERT_EQ(CL_SUCCESS, status) << "clReleaseContext";
#ifdef CL_VERSION_1_2
#if 1
{
cv::ocl::Context* ctx = cv::ocl::Context::getContext();
ASSERT_NE((void*)NULL, ctx);
if (ctx->supportsFeature(cv::ocl::FEATURE_CL_VER_1_2)) // device supports OpenCL 1.2+
{
status = ::clReleaseDevice(device);
ASSERT_EQ(CL_SUCCESS, status) << "clReleaseDevice";
}
}
#else // code below doesn't work on Linux (SEGFAULTs on 1.1- devices are not handled via exceptions)
try
{
status = ::clReleaseDevice(device); // NOTE This works only with !DEVICES! that supports OpenCL 1.2
(void)status; // no check
}
catch (...)
{
// nothing, there is no problem
}
#endif
#endif
// print the name of current device
cv::ocl::Context* ctx = cv::ocl::Context::getContext();
ASSERT_NE((void*)NULL, ctx);
const cv::ocl::DeviceInfo& deviceInfo = ctx->getDeviceInfo();
std::cout << "Device name: " << deviceInfo.deviceName << std::endl;
std::cout << "Platform name: " << deviceInfo.platform->platformName << std::endl;
ASSERT_EQ(context, *(cl_context*)ctx->getOpenCLContextPtr());
ASSERT_EQ(device, *(cl_device_id*)ctx->getOpenCLDeviceIDPtr());
// do some calculations and check results
cv::RNG rng;
Size sz(100, 100);
cv::Mat srcMat = cvtest::randomMat(rng, sz, CV_32FC4, -10, 10, false);
cv::Mat dstMat;
cv::ocl::oclMat srcGpuMat(srcMat);
cv::ocl::oclMat dstGpuMat;
cv::Scalar v = cv::Scalar::all(1);
cv::add(srcMat, v, dstMat);
cv::ocl::add(srcGpuMat, v, dstGpuMat);
cv::Mat dstGpuMatMap;
dstGpuMat.download(dstGpuMatMap);
EXPECT_LE(checkNorm(dstMat, dstGpuMatMap), 1e-3);
}