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added stereo_multi_gpu sample, cosmetic changes in multi_gpu sample

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This commit is contained in:
Alexey Spizhevoy 2011-02-03 12:02:39 +00:00
parent ed77955635
commit ea94b43541
3 changed files with 217 additions and 22 deletions
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2
modules/gpu/src/cuda/stereobm.cu
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@ -357,7 +357,7 @@ extern "C" void stereoBM_GPU(const DevMem2D& left, const DevMem2D& right, const
cudaSafeCall( cudaMemset2D(disp.data, disp.step, 0, disp.cols, disp.rows) );
cudaSafeCall( cudaMemset2D(minSSD_buf.data, minSSD_buf.step, 0xFF, minSSD_buf.cols * minSSD_buf.elemSize(), disp.rows) );
cudaSafeCall( cudaMemcpyToSymbol( cwidth, &left.cols, sizeof(left.cols) ) );
cudaSafeCall( cudaMemcpyToSymbol( cwidth, &left.cols, sizeof(left.cols) ) );
cudaSafeCall( cudaMemcpyToSymbol( cheight, &left.rows, sizeof(left.rows) ) );
cudaSafeCall( cudaMemcpyToSymbol( cminSSDImage, &minSSD_buf.data, sizeof(minSSD_buf.data) ) );

54
samples/gpu/multi.cpp
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@ -1,3 +1,6 @@
/* This sample demonstrates the way you can perform independed tasks
on the different GPUs */
// Disable some warnings which are caused with CUDA headers
#pragma warning(disable: 4201 4408 4100)
@ -34,41 +37,50 @@ using namespace cv::gpu;
struct Worker { void operator()(int device_id) const; };
void destroyContexts();
#define cuSafeCall(code) if (code != CUDA_SUCCESS) { \
#define safeCall(code) if (code != CUDA_SUCCESS) { \
cout << "CUDA driver API error: code " << code \
<< ", file " << __FILE__ << ", line " << __LINE__ << endl; \
destroyContexts(); \
exit(-1); \
}
// Each GPU is associated with its own context
CUcontext contexts[2];
int main()
{
if (getCudaEnabledDeviceCount() < 2)
int num_devices = getCudaEnabledDeviceCount();
if (num_devices < 2)
{
cout << "Two or more GPUs are required\n";
return -1;
}
cuSafeCall(cuInit(0));
for (int i = 0; i < num_devices; ++i)
{
if (!DeviceInfo(i).isCompatible())
{
cout << "GPU module isn't built for GPU #" << i << " (" << DeviceInfo(i).name() << ")";
return -1;
}
}
// Create context for the first GPU
safeCall(cuInit(0));
// Create context for GPU #0
CUdevice device;
cuSafeCall(cuDeviceGet(&device, 0));
cuSafeCall(cuCtxCreate(&contexts[0], 0, device));
safeCall(cuDeviceGet(&device, 0));
safeCall(cuCtxCreate(&contexts[0], 0, device));
CUcontext prev_context;
cuSafeCall(cuCtxPopCurrent(&prev_context));
safeCall(cuCtxPopCurrent(&prev_context));
// Create context for the second GPU
cuSafeCall(cuDeviceGet(&device, 1));
cuSafeCall(cuCtxCreate(&contexts[1], 0, device));
// Create context for GPU #1
safeCall(cuDeviceGet(&device, 1));
safeCall(cuCtxCreate(&contexts[1], 0, device));
cuSafeCall(cuCtxPopCurrent(&prev_context));
safeCall(cuCtxPopCurrent(&prev_context));
// Execute calculation in two threads using two GPUs
int devices[] = {0, 1};
@ -81,8 +93,8 @@ int main()
void Worker::operator()(int device_id) const
{
// Set proper context
cuSafeCall(cuCtxPushCurrent(contexts[device_id]));
// Set the proper context
safeCall(cuCtxPushCurrent(contexts[device_id]));
Mat src(1000, 1000, CV_32F);
Mat dst;
@ -93,15 +105,15 @@ void Worker::operator()(int device_id) const
// CPU works
transpose(src, dst);
// GPU works
GpuMat d_src(src);
GpuMat d_dst;
// GPU works
transpose(d_src, d_dst);
// Check results
bool passed = norm(dst - Mat(d_dst), NORM_INF) < 1e-3;
cout << "GPU #" << device_id << ": "<< (passed ? "passed" : "FAILED") << endl;
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
@ -109,14 +121,14 @@ void Worker::operator()(int device_id) const
d_dst.release();
CUcontext prev_context;
cuSafeCall(cuCtxPopCurrent(&prev_context));
safeCall(cuCtxPopCurrent(&prev_context));
}
void destroyContexts()
{
cuSafeCall(cuCtxDestroy(contexts[0]));
cuSafeCall(cuCtxDestroy(contexts[1]));
safeCall(cuCtxDestroy(contexts[0]));
safeCall(cuCtxDestroy(contexts[1]));
}
#endif

183
samples/gpu/stereo_multi.cpp Normal file
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@ -0,0 +1,183 @@
/* This sample demonstrates working on one piece of data using two GPUs.
It splits input into two parts and processes them separately on different
GPUs. */
// Disable some warnings which are caused with CUDA headers
#pragma warning(disable: 4201 4408 4100)
#include <iostream>
#include <cvconfig.h>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/gpu/gpu.hpp>
#if !defined(HAVE_CUDA) || !defined(HAVE_TBB)
int main()
{
#if !defined(HAVE_CUDA)
cout << "CUDA support is required (CMake key 'WITH_CUDA' must be true).\n";
#endif
#if !defined(HAVE_TBB)
cout << "TBB support is required (CMake key 'WITH_TBB' must be true).\n";
#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(code) if (code != CUDA_SUCCESS) { \
cout << "CUDA driver API error: code " << code \
<< ", file " << __FILE__ << ", line " << __LINE__ << endl; \
destroyContexts(); \
exit(-1); \
}
// Each GPU is associated with its own context
CUcontext contexts[2];
void inline contextOn(int id)
{
safeCall(cuCtxPushCurrent(contexts[id]));
}
void inline contextOff()
{
CUcontext prev_context;
safeCall(cuCtxPopCurrent(&prev_context));
}
GpuMat d_left[2];
GpuMat d_right[2];
StereoBM_GPU* bm[2];
GpuMat d_result[2];
Mat result;
int main(int argc, char** argv)
{
if (argc < 3)
{
cout << "Usage: stereo_multi_gpu <left_image> <right_image>\n";
return -1;
}
int num_devices = getCudaEnabledDeviceCount();
if (num_devices < 2)
{
cout << "Two or more GPUs are required\n";
return -1;
}
for (int i = 0; i < num_devices; ++i)
{
if (!DeviceInfo(i).isCompatible())
{
cout << "GPU module isn't built for GPU #" << i << " (" << DeviceInfo(i).name() << ")";
return -1;
}
}
// Load input data
Mat left = imread(argv[1], CV_LOAD_IMAGE_GRAYSCALE);
Mat right = imread(argv[2], CV_LOAD_IMAGE_GRAYSCALE);
if (left.empty())
{
cout << "Cannot open '" << argv[1] << "'\n";
return -1;
}
if (right.empty())
{
cout << "Cannot open '" << argv[2] << "'\n";
return -1;
}
safeCall(cuInit(0));
// Create context for the first GPU
CUdevice device;
safeCall(cuDeviceGet(&device, 0));
safeCall(cuCtxCreate(&contexts[0], 0, device));
contextOff();
// Create context for the second GPU
safeCall(cuDeviceGet(&device, 1));
safeCall(cuCtxCreate(&contexts[1], 0, device));
contextOff();
// Split source images for processing on the first GPU
contextOn(0);
d_left[0].upload(left.rowRange(0, left.rows / 2));
d_right[0].upload(right.rowRange(0, right.rows / 2));
bm[0] = new StereoBM_GPU();
contextOff();
// Split source images for processing on the second GPU
contextOn(1);
d_left[1].upload(left.rowRange(left.rows / 2, left.rows));
d_right[1].upload(right.rowRange(right.rows / 2, right.rows));
bm[1] = new StereoBM_GPU();
contextOff();
// Execute calculation in two threads using two GPUs
int devices[] = {0, 1};
parallel_do(devices, devices + 2, Worker());
// Release the first GPU resources
contextOn(0);
imshow("GPU #0 result", Mat(d_result[0]));
d_left[0].release();
d_right[0].release();
d_result[0].release();
delete bm[0];
contextOff();
// Release the second GPU resources
contextOn(1);
imshow("GPU #1 result", Mat(d_result[1]));
d_left[1].release();
d_right[1].release();
d_result[1].release();
delete bm[1];
contextOff();
waitKey();
destroyContexts();
return 0;
}
void Worker::operator()(int device_id) const
{
contextOn(device_id);
bm[device_id]->operator()(d_left[device_id], d_right[device_id],
d_result[device_id]);
cout << "GPU #" << device_id << " (" << DeviceInfo().name()
<< "): finished\n";
contextOff();
}
void destroyContexts()
{
safeCall(cuCtxDestroy(contexts[0]));
safeCall(cuCtxDestroy(contexts[1]));
}
#endif