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// For Open Source Computer Vision Library
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#ifndef __OPENCV_GPU_DEVICE_BLOCK_HPP__
#define __OPENCV_GPU_DEVICE_BLOCK_HPP__
namespace cv { namespace gpu { namespace device
{
struct Block
{
static __device__ __forceinline__ unsigned int id()
{
return blockIdx.x;
}
static __device__ __forceinline__ unsigned int stride()
{
return blockDim.x * blockDim.y * blockDim.z;
}
static __device__ __forceinline__ void sync()
{
__syncthreads();
}
static __device__ __forceinline__ int flattenedThreadId()
{
return threadIdx.z * blockDim.x * blockDim.y + threadIdx.y * blockDim.x + threadIdx.x;
}
template
static __device__ __forceinline__ void fill(It beg, It end, const T& value)
{
int STRIDE = stride();
It t = beg + flattenedThreadId();
for(; t < end; t += STRIDE)
*t = value;
}
template
static __device__ __forceinline__ void yota(OutIt beg, OutIt end, T value)
{
int STRIDE = stride();
int tid = flattenedThreadId();
value += tid;
for(OutIt t = beg + tid; t < end; t += STRIDE, value += STRIDE)
*t = value;
}
template
static __device__ __forceinline__ void copy(InIt beg, InIt end, OutIt out)
{
int STRIDE = stride();
InIt t = beg + flattenedThreadId();
OutIt o = out + (t - beg);
for(; t < end; t += STRIDE, o += STRIDE)
*o = *t;
}
template
static __device__ __forceinline__ void transfrom(InIt beg, InIt end, OutIt out, UnOp op)
{
int STRIDE = stride();
InIt t = beg + flattenedThreadId();
OutIt o = out + (t - beg);
for(; t < end; t += STRIDE, o += STRIDE)
*o = op(*t);
}
template
static __device__ __forceinline__ void transfrom(InIt1 beg1, InIt1 end1, InIt2 beg2, OutIt out, BinOp op)
{
int STRIDE = stride();
InIt1 t1 = beg1 + flattenedThreadId();
InIt2 t2 = beg2 + flattenedThreadId();
OutIt o = out + (t1 - beg1);
for(; t1 < end1; t1 += STRIDE, t2 += STRIDE, o += STRIDE)
*o = op(*t1, *t2);
}
template
static __device__ __forceinline__ void reduce(volatile T* buffer, BinOp op)
{
int tid = flattenedThreadId();
T val = buffer[tid];
if (CTA_SIZE >= 1024) { if (tid < 512) buffer[tid] = val = op(val, buffer[tid + 512]); __syncthreads(); }
if (CTA_SIZE >= 512) { if (tid < 256) buffer[tid] = val = op(val, buffer[tid + 256]); __syncthreads(); }
if (CTA_SIZE >= 256) { if (tid < 128) buffer[tid] = val = op(val, buffer[tid + 128]); __syncthreads(); }
if (CTA_SIZE >= 128) { if (tid < 64) buffer[tid] = val = op(val, buffer[tid + 64]); __syncthreads(); }
if (tid < 32)
{
if (CTA_SIZE >= 64) { buffer[tid] = val = op(val, buffer[tid + 32]); }
if (CTA_SIZE >= 32) { buffer[tid] = val = op(val, buffer[tid + 16]); }
if (CTA_SIZE >= 16) { buffer[tid] = val = op(val, buffer[tid + 8]); }
if (CTA_SIZE >= 8) { buffer[tid] = val = op(val, buffer[tid + 4]); }
if (CTA_SIZE >= 4) { buffer[tid] = val = op(val, buffer[tid + 2]); }
if (CTA_SIZE >= 2) { buffer[tid] = val = op(val, buffer[tid + 1]); }
}
}
template
static __device__ __forceinline__ T reduce(volatile T* buffer, T init, BinOp op)
{
int tid = flattenedThreadId();
T val = buffer[tid] = init;
__syncthreads();
if (CTA_SIZE >= 1024) { if (tid < 512) buffer[tid] = val = op(val, buffer[tid + 512]); __syncthreads(); }
if (CTA_SIZE >= 512) { if (tid < 256) buffer[tid] = val = op(val, buffer[tid + 256]); __syncthreads(); }
if (CTA_SIZE >= 256) { if (tid < 128) buffer[tid] = val = op(val, buffer[tid + 128]); __syncthreads(); }
if (CTA_SIZE >= 128) { if (tid < 64) buffer[tid] = val = op(val, buffer[tid + 64]); __syncthreads(); }
if (tid < 32)
{
if (CTA_SIZE >= 64) { buffer[tid] = val = op(val, buffer[tid + 32]); }
if (CTA_SIZE >= 32) { buffer[tid] = val = op(val, buffer[tid + 16]); }
if (CTA_SIZE >= 16) { buffer[tid] = val = op(val, buffer[tid + 8]); }
if (CTA_SIZE >= 8) { buffer[tid] = val = op(val, buffer[tid + 4]); }
if (CTA_SIZE >= 4) { buffer[tid] = val = op(val, buffer[tid + 2]); }
if (CTA_SIZE >= 2) { buffer[tid] = val = op(val, buffer[tid + 1]); }
}
__syncthreads();
return buffer[0];
}
template
static __device__ __forceinline__ void reduce_n(T* data, unsigned int n, BinOp op)
{
int ftid = flattenedThreadId();
int sft = stride();
if (sft < n)
{
for (unsigned int i = sft + ftid; i < n; i += sft)
data[ftid] = op(data[ftid], data[i]);
__syncthreads();
n = sft;
}
while (n > 1)
{
unsigned int half = n/2;
if (ftid < half)
data[ftid] = op(data[ftid], data[n - ftid - 1]);
__syncthreads();
n = n - half;
}
}
};
}}}
#endif /* __OPENCV_GPU_DEVICE_BLOCK_HPP__ */
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