mirror of
https://github.com/opencv/opencv.git
synced 2025-06-07 17:44:04 +08:00
cuda::StereoBM - fix hanging and racing issue
- Fix hanging issue on 2080 Ti - Fix racing issue
This commit is contained in:
parent
b12e1acdec
commit
1a961660d8
@ -71,48 +71,54 @@ namespace cv { namespace cuda { namespace device
|
||||
}
|
||||
|
||||
template<int RADIUS>
|
||||
__device__ unsigned int CalcSSD(volatile unsigned int *col_ssd_cache, volatile unsigned int *col_ssd)
|
||||
__device__ unsigned int CalcSSD(volatile unsigned int *col_ssd_cache, volatile unsigned int *col_ssd, const int X)
|
||||
{
|
||||
unsigned int cache = 0;
|
||||
unsigned int cache2 = 0;
|
||||
|
||||
for(int i = 1; i <= RADIUS; i++)
|
||||
cache += col_ssd[i];
|
||||
if (X < cwidth - RADIUS)
|
||||
{
|
||||
for(int i = 1; i <= RADIUS; i++)
|
||||
cache += col_ssd[i];
|
||||
|
||||
col_ssd_cache[0] = cache;
|
||||
col_ssd_cache[0] = cache;
|
||||
}
|
||||
|
||||
__syncthreads();
|
||||
|
||||
if (threadIdx.x < BLOCK_W - RADIUS)
|
||||
cache2 = col_ssd_cache[RADIUS];
|
||||
else
|
||||
for(int i = RADIUS + 1; i < (2 * RADIUS + 1); i++)
|
||||
cache2 += col_ssd[i];
|
||||
if (X < cwidth - RADIUS)
|
||||
{
|
||||
if (threadIdx.x < BLOCK_W - RADIUS)
|
||||
cache2 = col_ssd_cache[RADIUS];
|
||||
else
|
||||
for(int i = RADIUS + 1; i < (2 * RADIUS + 1); i++)
|
||||
cache2 += col_ssd[i];
|
||||
}
|
||||
|
||||
return col_ssd[0] + cache + cache2;
|
||||
}
|
||||
|
||||
template<int RADIUS>
|
||||
__device__ uint2 MinSSD(volatile unsigned int *col_ssd_cache, volatile unsigned int *col_ssd)
|
||||
__device__ uint2 MinSSD(volatile unsigned int *col_ssd_cache, volatile unsigned int *col_ssd, const int X)
|
||||
{
|
||||
unsigned int ssd[N_DISPARITIES];
|
||||
|
||||
//See above: #define COL_SSD_SIZE (BLOCK_W + 2 * RADIUS)
|
||||
ssd[0] = CalcSSD<RADIUS>(col_ssd_cache, col_ssd + 0 * (BLOCK_W + 2 * RADIUS));
|
||||
ssd[0] = CalcSSD<RADIUS>(col_ssd_cache, col_ssd + 0 * (BLOCK_W + 2 * RADIUS), X);
|
||||
__syncthreads();
|
||||
ssd[1] = CalcSSD<RADIUS>(col_ssd_cache, col_ssd + 1 * (BLOCK_W + 2 * RADIUS));
|
||||
ssd[1] = CalcSSD<RADIUS>(col_ssd_cache, col_ssd + 1 * (BLOCK_W + 2 * RADIUS), X);
|
||||
__syncthreads();
|
||||
ssd[2] = CalcSSD<RADIUS>(col_ssd_cache, col_ssd + 2 * (BLOCK_W + 2 * RADIUS));
|
||||
ssd[2] = CalcSSD<RADIUS>(col_ssd_cache, col_ssd + 2 * (BLOCK_W + 2 * RADIUS), X);
|
||||
__syncthreads();
|
||||
ssd[3] = CalcSSD<RADIUS>(col_ssd_cache, col_ssd + 3 * (BLOCK_W + 2 * RADIUS));
|
||||
ssd[3] = CalcSSD<RADIUS>(col_ssd_cache, col_ssd + 3 * (BLOCK_W + 2 * RADIUS), X);
|
||||
__syncthreads();
|
||||
ssd[4] = CalcSSD<RADIUS>(col_ssd_cache, col_ssd + 4 * (BLOCK_W + 2 * RADIUS));
|
||||
ssd[4] = CalcSSD<RADIUS>(col_ssd_cache, col_ssd + 4 * (BLOCK_W + 2 * RADIUS), X);
|
||||
__syncthreads();
|
||||
ssd[5] = CalcSSD<RADIUS>(col_ssd_cache, col_ssd + 5 * (BLOCK_W + 2 * RADIUS));
|
||||
ssd[5] = CalcSSD<RADIUS>(col_ssd_cache, col_ssd + 5 * (BLOCK_W + 2 * RADIUS), X);
|
||||
__syncthreads();
|
||||
ssd[6] = CalcSSD<RADIUS>(col_ssd_cache, col_ssd + 6 * (BLOCK_W + 2 * RADIUS));
|
||||
ssd[6] = CalcSSD<RADIUS>(col_ssd_cache, col_ssd + 6 * (BLOCK_W + 2 * RADIUS), X);
|
||||
__syncthreads();
|
||||
ssd[7] = CalcSSD<RADIUS>(col_ssd_cache, col_ssd + 7 * (BLOCK_W + 2 * RADIUS));
|
||||
ssd[7] = CalcSSD<RADIUS>(col_ssd_cache, col_ssd + 7 * (BLOCK_W + 2 * RADIUS), X);
|
||||
|
||||
int mssd = ::min(::min(::min(ssd[0], ssd[1]), ::min(ssd[4], ssd[5])), ::min(::min(ssd[2], ssd[3]), ::min(ssd[6], ssd[7])));
|
||||
|
||||
@ -243,12 +249,12 @@ namespace cv { namespace cuda { namespace device
|
||||
|
||||
unsigned int* minSSDImage = cminSSDImage + X + Y * cminSSD_step;
|
||||
unsigned char* disparImage = disp.data + X + Y * disp.step;
|
||||
/* if (X < cwidth)
|
||||
{
|
||||
unsigned int *minSSDImage_end = minSSDImage + min(ROWSperTHREAD, cheight - Y) * minssd_step;
|
||||
for(uint *ptr = minSSDImage; ptr != minSSDImage_end; ptr += minssd_step )
|
||||
*ptr = 0xFFFFFFFF;
|
||||
}*/
|
||||
//if (X < cwidth)
|
||||
//{
|
||||
// unsigned int *minSSDImage_end = minSSDImage + min(ROWSperTHREAD, cheight - Y) * minssd_step;
|
||||
// for(uint *ptr = minSSDImage; ptr != minSSDImage_end; ptr += minssd_step )
|
||||
// *ptr = 0xFFFFFFFF;
|
||||
//}
|
||||
int end_row = ::min(ROWSperTHREAD, cheight - Y - RADIUS);
|
||||
int y_tex;
|
||||
int x_tex = X - RADIUS;
|
||||
@ -268,13 +274,27 @@ namespace cv { namespace cuda { namespace device
|
||||
|
||||
__syncthreads(); //before MinSSD function
|
||||
|
||||
if (X < cwidth - RADIUS && Y < cheight - RADIUS)
|
||||
if (Y < cheight - RADIUS)
|
||||
{
|
||||
uint2 minSSD = MinSSD<RADIUS>(col_ssd_cache + threadIdx.x, col_ssd);
|
||||
if (minSSD.x < minSSDImage[0])
|
||||
uint2 minSSD = MinSSD<RADIUS>(col_ssd_cache + threadIdx.x, col_ssd, X);
|
||||
|
||||
// For threads that do not satisfy the if condition below("X < cwidth - RADIUS"), previously
|
||||
// computed "minSSD" value, which is the result of "MinSSD" function call, is not used at all.
|
||||
//
|
||||
// However, since the "MinSSD" function has "__syncthreads" call in its body, those threads
|
||||
// must also call "MinSSD" to avoid deadlock. (#13850)
|
||||
//
|
||||
// From CUDA 9, using "__syncwarp" with proper mask value instead of using "__syncthreads"
|
||||
// could be an option, but the shared memory access pattern does not allow this option,
|
||||
// resulting in race condition. (Checked via "cuda-memcheck --tool racecheck")
|
||||
|
||||
if (X < cwidth - RADIUS)
|
||||
{
|
||||
disparImage[0] = (unsigned char)(d + minSSD.y);
|
||||
minSSDImage[0] = minSSD.x;
|
||||
if (minSSD.x < minSSDImage[0])
|
||||
{
|
||||
disparImage[0] = (unsigned char)(d + minSSD.y);
|
||||
minSSDImage[0] = minSSD.x;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@ -295,17 +315,34 @@ namespace cv { namespace cuda { namespace device
|
||||
|
||||
__syncthreads(); //before MinSSD function
|
||||
|
||||
if (X < cwidth - RADIUS && row < cheight - RADIUS - Y)
|
||||
if (row < cheight - RADIUS - Y)
|
||||
{
|
||||
int idx = row * cminSSD_step;
|
||||
uint2 minSSD = MinSSD<RADIUS>(col_ssd_cache + threadIdx.x, col_ssd);
|
||||
if (minSSD.x < minSSDImage[idx])
|
||||
uint2 minSSD = MinSSD<RADIUS>(col_ssd_cache + threadIdx.x, col_ssd, X);
|
||||
|
||||
// For threads that do not satisfy the if condition below("X < cwidth - RADIUS"), previously
|
||||
// computed "minSSD" value, which is the result of "MinSSD" function call, is not used at all.
|
||||
//
|
||||
// However, since the "MinSSD" function has "__syncthreads" call in its body, those threads
|
||||
// must also call "MinSSD" to avoid deadlock. (#13850)
|
||||
//
|
||||
// From CUDA 9, using "__syncwarp" with proper mask value instead of using "__syncthreads"
|
||||
// could be an option, but the shared memory access pattern does not allow this option,
|
||||
// resulting in race condition. (Checked via "cuda-memcheck --tool racecheck")
|
||||
|
||||
if (X < cwidth - RADIUS)
|
||||
{
|
||||
disparImage[disp.step * row] = (unsigned char)(d + minSSD.y);
|
||||
minSSDImage[idx] = minSSD.x;
|
||||
int idx = row * cminSSD_step;
|
||||
if (minSSD.x < minSSDImage[idx])
|
||||
{
|
||||
disparImage[disp.step * row] = (unsigned char)(d + minSSD.y);
|
||||
minSSDImage[idx] = minSSD.x;
|
||||
}
|
||||
}
|
||||
}
|
||||
} // for row loop
|
||||
|
||||
__syncthreads(); // before initializing shared memory at the beginning of next loop
|
||||
|
||||
} // for d loop
|
||||
}
|
||||
|
||||
|
Loading…
Reference in New Issue
Block a user