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parallel_do replaced with parallel_for_ in driver_gpu_multi sample.

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This commit is contained in:
Alexander Smorkalov 2015-01-05 13:48:54 +03:00
parent 091c7a3821
commit 72063bf136
1 changed files with 70 additions and 82 deletions
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152
samples/gpu/driver_api_multi.cpp Normal file → Executable file
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@ -7,56 +7,101 @@
#endif
#include <iostream>
#include "cvconfig.h"
#include "opencv2/core/core.hpp"
#include "opencv2/gpu/gpu.hpp"
#if !defined(HAVE_CUDA) || !defined(HAVE_TBB) || defined(__arm__)
#if defined(__arm__)
int main()
{
#if !defined(HAVE_CUDA)
std::cout << "CUDA support is required (CMake key 'WITH_CUDA' must be true).\n";
#endif
#if !defined(HAVE_TBB)
std::cout << "TBB support is required (CMake key 'WITH_TBB' must be true).\n";
#endif
#if defined(__arm__)
std::cout << "Unsupported for ARM CUDA library." << std::endl;
#endif
return 0;
}
#else
#include <cuda.h>
#include <cuda_runtime.h>
#include "opencv2/core/internal.hpp" // For TBB wrappers
using namespace std;
using namespace cv;
using namespace cv::gpu;
struct Worker { void operator()(int device_id) const; };
void destroyContexts();
#define safeCall(expr) safeCall_(expr, #expr, __FILE__, __LINE__)
inline void safeCall_(int code, const char* expr, const char* file, int line)
{
if (code != CUDA_SUCCESS)
{
std::cout << "CUDA driver API error: code " << code << ", expr " << expr
<< ", file " << file << ", line " << line << endl;
destroyContexts();
<< ", file " << file << ", line " << line << endl;
exit(-1);
}
}
// Each GPU is associated with its own context
CUcontext contexts[2];
struct Worker: public ParallelLoopBody
{
Worker(int num_devices)
{
count = num_devices;
contexts = new contexts CUcontext[num_devices];
for (int device_id = 0; i < num_devices; device_id++)
{
CUdevice device;
safeCall(cuDeviceGet(&device, device_id));
safeCall(cuCtxCreate(&contexts[device_id], 0, device));
}
}
virtual void operator() (const Range& range) const
{
for (int device_id = range.start; device_id != range.end; ++device_id)
{
// Set the proper context
safeCall(cuCtxPushCurrent(contexts[device_id]));
Mat src(1000, 1000, CV_32F);
Mat dst;
RNG rng(0);
rng.fill(src, RNG::UNIFORM, 0, 1);
// CPU works
transpose(src, dst);
// GPU works
GpuMat d_src(src);
GpuMat d_dst;
transpose(d_src, d_dst);
// Check results
bool passed = norm(dst - Mat(d_dst), NORM_INF) < 1e-3;
std::cout << "GPU #" << device_id << " (" << DeviceInfo().name() << "): "
<< (passed ? "passed" : "FAILED") << endl;
// Deallocate data here, otherwise deallocation will be performed
// after context is extracted from the stack
d_src.release();
d_dst.release();
CUcontext prev_context;
safeCall(cuCtxPopCurrent(&prev_context));
}
}
~Worker()
{
if ((contexts != NULL) && count != 0)
{
for (int device_id = 0; i < num_devices; device_id++)
{
safeCall(cuCtxDestroy(contexts[device_id]));
}
delete[] contexts;
}
}
CUcontext* contexts;
int count;
};
int main()
{
@ -84,67 +129,10 @@ int main()
// Init CUDA Driver API
safeCall(cuInit(0));
// Create context for GPU #0
CUdevice device;
safeCall(cuDeviceGet(&device, 0));
safeCall(cuCtxCreate(&contexts[0], 0, device));
// Execute calculation
parallel_for_(cv::Range(0, num_devices, Worker(num_devices));
CUcontext prev_context;
safeCall(cuCtxPopCurrent(&prev_context));
// Create context for GPU #1
safeCall(cuDeviceGet(&device, 1));
safeCall(cuCtxCreate(&contexts[1], 0, device));
safeCall(cuCtxPopCurrent(&prev_context));
// Execute calculation in two threads using two GPUs
int devices[] = {0, 1};
parallel_do(devices, devices + 2, Worker());
destroyContexts();
return 0;
}
void Worker::operator()(int device_id) const
{
// Set the proper context
safeCall(cuCtxPushCurrent(contexts[device_id]));
Mat src(1000, 1000, CV_32F);
Mat dst;
RNG rng(0);
rng.fill(src, RNG::UNIFORM, 0, 1);
// CPU works
transpose(src, dst);
// GPU works
GpuMat d_src(src);
GpuMat d_dst;
transpose(d_src, d_dst);
// Check results
bool passed = norm(dst - Mat(d_dst), NORM_INF) < 1e-3;
std::cout << "GPU #" << device_id << " (" << DeviceInfo().name() << "): "
<< (passed ? "passed" : "FAILED") << endl;
// Deallocate data here, otherwise deallocation will be performed
// after context is extracted from the stack
d_src.release();
d_dst.release();
CUcontext prev_context;
safeCall(cuCtxPopCurrent(&prev_context));
}
void destroyContexts()
{
safeCall(cuCtxDestroy(contexts[0]));
safeCall(cuCtxDestroy(contexts[1]));
}
#endif