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Added fftplan cache

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This commit is contained in:
Alexander Karsakov
2014-07-11 15:01:46 +04:00
parent 0318d27720
commit e5a3ab3cb9
3 changed files with 225 additions and 164 deletions
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330
modules/core/src/dxt.cpp
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@@ -2034,50 +2034,6 @@ namespace cv
#ifdef HAVE_OPENCL
static bool ocl_packToCCS(InputArray _buffer, OutputArray _dst, int flags)
{
UMat buffer = _buffer.getUMat();
UMat dst = _dst.getUMat();
buffer = buffer.reshape(1);
if ((flags & DFT_ROWS) == 0 && buffer.rows > 1)
{
// pack to CCS by rows
if (dst.cols > 2)
buffer.colRange(2, dst.cols + (dst.cols % 2)).copyTo(dst.colRange(1, dst.cols-1 + (dst.cols % 2)));
Mat dst_mat = dst.getMat(ACCESS_WRITE);
Mat buffer_mat = buffer.getMat(ACCESS_READ);
dst_mat.at<float>(0,0) = buffer_mat.at<float>(0,0);
dst_mat.at<float>(dst_mat.rows-1,0) = buffer_mat.at<float>(buffer.rows/2,0);
for (int i=1; i<dst_mat.rows-1; i+=2)
{
dst_mat.at<float>(i,0) = buffer_mat.at<float>((i+1)/2,0);
dst_mat.at<float>(i+1,0) = buffer_mat.at<float>((i+1)/2,1);
}
if (dst_mat.cols % 2 == 0)
{
dst_mat.at<float>(0,dst_mat.cols-1) = buffer_mat.at<float>(0,buffer.cols/2);
dst_mat.at<float>(dst_mat.rows-1,dst_mat.cols-1) = buffer_mat.at<float>(buffer.rows/2,buffer.cols/2);
for (int i=1; i<dst_mat.rows-1; i+=2)
{
dst_mat.at<float>(i,dst_mat.cols-1) = buffer_mat.at<float>((i+1)/2,buffer.cols/2);
dst_mat.at<float>(i+1,dst_mat.cols-1) = buffer_mat.at<float>((i+1)/2,buffer.cols/2+1);
}
}
}
else
{
// pack to CCS each row
buffer.colRange(0,1).copyTo(dst.colRange(0,1));
buffer.colRange(2, (dst.cols+1)).copyTo(dst.colRange(1, dst.cols));
}
return true;
}
static std::vector<int> ocl_getRadixes(int cols, int& min_radix)
{
int factors[34];
@@ -2116,72 +2072,175 @@ static std::vector<int> ocl_getRadixes(int cols, int& min_radix)
return radixes;
}
static bool ocl_dft_C2C_row(InputArray _src, OutputArray _dst, InputOutputArray _twiddles, int nonzero_rows, int flags)
struct OCL_FftPlan
{
int type = _src.type(), depth = CV_MAT_DEPTH(type), channels = CV_MAT_CN(type);
UMat src = _src.getUMat();
UMat twiddles;
String buildOptions;
int thread_count;
bool doubleSupport = ocl::Device::getDefault().doubleFPConfig() > 0;
if (depth == CV_64F && !doubleSupport)
return false;
int min_radix = INT_MAX;
std::vector<int> radixes = ocl_getRadixes(src.cols, min_radix);
// generate string with radix calls
String radix_processing;
int n = 1, twiddle_index = 0;
for (size_t i=0; i<radixes.size(); i++)
{
int radix = radixes[i];
radix_processing += format("fft_radix%d(smem,twiddles+%d,x,%d,%d);", radix, twiddle_index, n, src.cols/radix);
twiddle_index += (radix-1)*n;
n *= radix;
}
int dft_size;
int flags;
UMat twiddles = _twiddles.getUMat();
if (twiddles.cols != twiddle_index)
OCL_FftPlan(int _size, int _flags): dft_size(_size), flags(_flags)
{
// need to create/update tweedle table
int buffer_size = twiddle_index;
twiddles.create(1, buffer_size, CV_32FC2);
int min_radix = INT_MAX;
std::vector<int> radixes = ocl_getRadixes(dft_size, min_radix);
thread_count = dft_size / min_radix;
// generate string with radix calls
String radix_processing;
int n = 1, twiddle_size = 0;
for (size_t i=0; i<radixes.size(); i++)
{
int radix = radixes[i];
radix_processing += format("fft_radix%d(smem,twiddles+%d,x,%d,%d);", radix, twiddle_size, n, dft_size/radix);
twiddle_size += (radix-1)*n;
n *= radix;
}
twiddles.create(1, twiddle_size, CV_32FC2);
Mat tw = twiddles.getMat(ACCESS_WRITE);
float* ptr = tw.ptr<float>();
int ptr_index = 0;
int n = 1;
n = 1;
for (size_t i=0; i<radixes.size(); i++)
{
int radix = radixes[i];
n *= radix;
for (int k=0; k<(n/radix); k++)
for (int j=1; j<radix; j++)
{
double theta = -CV_TWO_PI*k/n;
double theta = -CV_TWO_PI*j/n;
for (int j=1; j<radix; j++)
for (int k=0; k<(n/radix); k++)
{
ptr[ptr_index++] = cos(j*theta);
ptr[ptr_index++] = sin(j*theta);
ptr[ptr_index++] = cos(k*theta);
ptr[ptr_index++] = sin(k*theta);
}
}
}
buildOptions = format("-D LOCAL_SIZE=%d -D kercn=%d -D RADIX_PROCESS=%s",
dft_size, dft_size/thread_count, radix_processing.c_str());
}
bool enqueueTransform(InputArray _src, OutputArray _dst, int nonzero_rows) const
{
UMat src = _src.getUMat();
_dst.create(src.size(), src.type());
UMat dst = _dst.getUMat();
size_t globalsize[2] = { thread_count, nonzero_rows };
size_t localsize[2] = { thread_count, 1 };
ocl::Kernel k("fft_multi_radix", ocl::core::fft_oclsrc, buildOptions);
if (k.empty())
return false;
k.args(ocl::KernelArg::ReadOnlyNoSize(src), ocl::KernelArg::WriteOnlyNoSize(dst), ocl::KernelArg::PtrReadOnly(twiddles), thread_count, nonzero_rows);
return k.run(2, globalsize, localsize, false);
}
};
class OCL_FftPlanCache
{
public:
static OCL_FftPlanCache & getInstance()
{
static OCL_FftPlanCache planCache;
return planCache;
}
//Mat buf = twiddles.getMat(ACCESS_READ);
UMat dst = _dst.getUMat();
int thread_count = src.cols / min_radix;
size_t globalsize[2] = { thread_count, nonzero_rows };
size_t localsize[2] = { thread_count, 1 };
OCL_FftPlan* getFftPlan(int dft_size, int flags)
{
for (size_t i = 0, size = planStorage.size(); i < size; ++i)
{
OCL_FftPlan * const plan = planStorage[i];
String buildOptions = format("-D LOCAL_SIZE=%d -D kercn=%d -D RADIX_PROCESS=%s",
src.cols, src.cols/thread_count, radix_processing.c_str());
ocl::Kernel k("fft_multi_radix", ocl::core::fft_oclsrc, buildOptions);
if (k.empty())
if (plan->dft_size == dft_size)
{
return plan;
}
}
OCL_FftPlan * newPlan = new OCL_FftPlan(dft_size, flags);
planStorage.push_back(newPlan);
return newPlan;
}
~OCL_FftPlanCache()
{
for (std::vector<OCL_FftPlan *>::iterator i = planStorage.begin(), end = planStorage.end(); i != end; ++i)
delete (*i);
planStorage.clear();
}
protected:
OCL_FftPlanCache() :
planStorage()
{
}
std::vector<OCL_FftPlan*> planStorage;
};
static bool ocl_packToCCS(InputArray _src, OutputArray _dst, int flags)
{
UMat src = _src.getUMat();
_dst.create(src.size(), CV_32F);
UMat dst = _dst.getUMat();
src = src.reshape(1);
if ((flags & DFT_ROWS) == 0 && src.rows > 1)
{
// pack to CCS by rows
if (dst.cols > 2)
src.colRange(2, dst.cols + (dst.cols % 2)).copyTo(dst.colRange(1, dst.cols-1 + (dst.cols % 2)));
Mat dst_mat = dst.getMat(ACCESS_WRITE);
Mat buffer_mat = src.getMat(ACCESS_READ);
dst_mat.at<float>(0,0) = buffer_mat.at<float>(0,0);
dst_mat.at<float>(dst_mat.rows-1,0) = buffer_mat.at<float>(src.rows/2,0);
for (int i=1; i<dst_mat.rows-1; i+=2)
{
dst_mat.at<float>(i,0) = buffer_mat.at<float>((i+1)/2,0);
dst_mat.at<float>(i+1,0) = buffer_mat.at<float>((i+1)/2,1);
}
if (dst_mat.cols % 2 == 0)
{
dst_mat.at<float>(0,dst_mat.cols-1) = buffer_mat.at<float>(0,src.cols/2);
dst_mat.at<float>(dst_mat.rows-1,dst_mat.cols-1) = buffer_mat.at<float>(src.rows/2,src.cols/2);
for (int i=1; i<dst_mat.rows-1; i+=2)
{
dst_mat.at<float>(i,dst_mat.cols-1) = buffer_mat.at<float>((i+1)/2,src.cols/2);
dst_mat.at<float>(i+1,dst_mat.cols-1) = buffer_mat.at<float>((i+1)/2,src.cols/2+1);
}
}
}
else
{
// pack to CCS each row
src.colRange(0,1).copyTo(dst.colRange(0,1));
src.colRange(2, (dst.cols+1)).copyTo(dst.colRange(1, dst.cols));
}
return true;
}
static bool ocl_dft_C2C_row(InputArray _src, OutputArray _dst, int nonzero_rows, int flags)
{
int type = _src.type(), depth = CV_MAT_DEPTH(type), channels = CV_MAT_CN(type);
bool doubleSupport = ocl::Device::getDefault().doubleFPConfig() > 0;
if (depth == CV_64F && !doubleSupport)
return false;
k.args(ocl::KernelArg::ReadOnlyNoSize(src), ocl::KernelArg::WriteOnlyNoSize(dst), ocl::KernelArg::ReadOnlyNoSize(twiddles), thread_count, nonzero_rows);
return k.run(2, globalsize, localsize, false);
const OCL_FftPlan* plan = OCL_FftPlanCache::getInstance().getFftPlan(_src.cols(), flags);
return plan->enqueueTransform(_src, _dst, nonzero_rows);
}
static bool ocl_dft(InputArray _src, OutputArray _dst, int flags, int nonzero_rows)
@@ -2217,76 +2276,71 @@ static bool ocl_dft(InputArray _src, OutputArray _dst, int flags, int nonzero_ro
}
}
if (complex_output)
UMat input, output;
if (complex_input)
{
//if (is1d)
// _dst.create(Size(src.cols/2+1, src.rows), CV_MAKE_TYPE(depth, 2));
//else
_dst.create(src.size(), CV_MAKE_TYPE(depth, 2));
input = src;
}
else
_dst.create(src.size(), CV_MAKE_TYPE(depth, 1));
{
if (!inv)
{
// in case real input convert it to complex
input.create(src.size(), CV_MAKE_TYPE(depth, 2));
std::vector<UMat> planes;
planes.push_back(src);
planes.push_back(UMat::zeros(src.size(), CV_32F));
merge(planes, input);
}
else
{
// TODO: unpack from CCS format
}
}
UMat dst = _dst.getUMat();
bool inplace = src.u == dst.u;
//UMat buffer;
//if (complex_input)
//{
// if (inplace)
// buffer = src;
// else
// src.copyTo(buffer);
//}
//else
//{
// if (!inv)
// {
// // in case real input convert it to complex
// buffer.create(src.size(), CV_MAKE_TYPE(depth, 2));
// std::vector<UMat> planes;
// planes.push_back(src);
// planes.push_back(UMat::zeros(src.size(), CV_32F));
// merge(planes, buffer);
// }
// else
// {
// // TODO: unpack from CCS format
// }
//}
if (complex_output)
{
if (real_input && is1d && !inv)
output.create(src.size(), CV_32FC2);
else
output = dst;
} else
{
output.create(src.size(), CV_32FC2);
}
if( nonzero_rows <= 0 || nonzero_rows > _src.rows() )
nonzero_rows = _src.rows();
UMat buffer;
if (!ocl_dft_C2C_row(src, dst, buffer, nonzero_rows, flags))
if (!ocl_dft_C2C_row(input, output, nonzero_rows, flags))
return false;
if ((flags & DFT_ROWS) == 0 && nonzero_rows > 1)
{
transpose(dst, dst);
if (!ocl_dft_C2C_row(dst, dst, buffer, dst.rows, flags))
transpose(output, output);
if (!ocl_dft_C2C_row(output, output, output.rows, flags))
return false;
transpose(dst, dst);
transpose(output, output);
}
if (complex_output)
{
if (real_input && is1d)
_dst.assign(dst.colRange(0, dst.cols/2+1));
if (real_input && is1d && !inv)
_dst.assign(output.colRange(0, output.cols/2+1));
else
_dst.assign(dst);
_dst.assign(output);
}
else
{
if (!inv)
ocl_packToCCS(output, _dst, flags);
else
{
// copy real part to dst
}
}
//else
//{
// if (!inv)
// ocl_packToCCS(buffer, _dst, flags);
// else
// {
// // copy real part to dst
// }
//}
return true;
}