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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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134
samples/gpu/driver_api_multi.cpp Normal file → Executable file
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@@ -7,42 +7,24 @@
#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)
{
@@ -50,65 +32,28 @@ inline void safeCall_(int code, const char* expr, const char* file, int line)
{
std::cout << "CUDA driver API error: code " << code << ", expr " << expr
<< ", file " << file << ", line " << line << endl;
destroyContexts();
exit(-1);
}
}
// Each GPU is associated with its own context
CUcontext contexts[2];
int main()
struct Worker: public ParallelLoopBody
{
int num_devices = getCudaEnabledDeviceCount();
if (num_devices < 2)
Worker(int num_devices)
{
std::cout << "Two or more GPUs are required\n";
return -1;
}
for (int i = 0; i < num_devices; ++i)
count = num_devices;
contexts = new contexts CUcontext[num_devices];
for (int device_id = 0; i < num_devices; device_id++)
{
cv::gpu::printShortCudaDeviceInfo(i);
DeviceInfo dev_info(i);
if (!dev_info.isCompatible())
{
std::cout << "GPU module isn't built for GPU #" << i << " ("
<< dev_info.name() << ", CC " << dev_info.majorVersion()
<< dev_info.minorVersion() << "\n";
return -1;
}
}
// Init CUDA Driver API
safeCall(cuInit(0));
// Create context for GPU #0
CUdevice device;
safeCall(cuDeviceGet(&device, 0));
safeCall(cuCtxCreate(&contexts[0], 0, device));
safeCall(cuDeviceGet(&device, device_id));
safeCall(cuCtxCreate(&contexts[device_id], 0, device));
}
}
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
{
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]));
@@ -138,13 +83,56 @@ void Worker::operator()(int device_id) const
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]));
}
void destroyContexts()
delete[] contexts;
}
}
CUcontext* contexts;
int count;
};
int main()
{
safeCall(cuCtxDestroy(contexts[0]));
safeCall(cuCtxDestroy(contexts[1]));
int num_devices = getCudaEnabledDeviceCount();
if (num_devices < 2)
{
std::cout << "Two or more GPUs are required\n";
return -1;
}
for (int i = 0; i < num_devices; ++i)
{
cv::gpu::printShortCudaDeviceInfo(i);
DeviceInfo dev_info(i);
if (!dev_info.isCompatible())
{
std::cout << "GPU module isn't built for GPU #" << i << " ("
<< dev_info.name() << ", CC " << dev_info.majorVersion()
<< dev_info.minorVersion() << "\n";
return -1;
}
}
// Init CUDA Driver API
safeCall(cuInit(0));
// Execute calculation
parallel_for_(cv::Range(0, num_devices, Worker(num_devices));
return 0;
}
#endif