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some optimization of binary ocl::bitwise operations

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This commit is contained in:
Ilya Lavrenov
2013-10-12 00:58:58 +04:00
parent fa11f04ae1
commit b18101b15a
8 changed files with 124 additions and 43 deletions
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54
modules/ocl/src/arithm.cpp
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@@ -56,6 +56,23 @@
using namespace cv;
using namespace cv::ocl;
static std::vector<uchar> scalarToVector(const cv::Scalar & sc, int depth, int ocn, int cn)
{
CV_Assert(ocn == cn || (ocn == 4 && cn == 3));
static const int sizeMap[] = { sizeof(uchar), sizeof(char), sizeof(ushort),
sizeof(short), sizeof(int), sizeof(float), sizeof(double) };
int elemSize1 = sizeMap[depth];
int bufSize = elemSize1 * ocn;
std::vector<uchar> _buf(bufSize);
uchar * buf = &_buf[0];
scalarToRawData(sc, buf, CV_MAKE_TYPE(depth, cn));
memset(buf + elemSize1 * cn, 0, (ocn - cn) * elemSize1);
return _buf;
}
//////////////////////////////////////////////////////////////////////////////
/////////////// add subtract multiply divide min max /////////////////////////
//////////////////////////////////////////////////////////////////////////////
@@ -84,7 +101,7 @@ static void arithmetic_run_generic(const oclMat &src1, const oclMat &src2, const
int src2step1 = src2.step / src2.elemSize(), src2offset1 = src2.offset / src2.elemSize();
int maskstep1 = mask.step, maskoffset1 = mask.offset / mask.elemSize();
int dststep1 = dst.step / dst.elemSize(), dstoffset1 = dst.offset / dst.elemSize();
oclMat m;
std::vector<uchar> m;
size_t localThreads[3] = { 16, 16, 1 };
size_t globalThreads[3] = { dst.cols, dst.rows, 1 };
@@ -132,10 +149,9 @@ static void arithmetic_run_generic(const oclMat &src1, const oclMat &src2, const
if (haveScalar)
{
const int WDepthMap[] = { CV_16S, CV_16S, CV_32S, CV_32S, CV_32S, CV_32F, CV_64F };
m.create(1, 1, CV_MAKE_TYPE(WDepthMap[WDepth], oclChannels));
m.setTo(scalar);
m = scalarToVector(scalar, WDepthMap[WDepth], oclChannels, src1.channels());
args.push_back( make_pair( sizeof(cl_mem), (void *)&m.data ));
args.push_back( make_pair( m.size(), (void *)&m[0]));
kernelName += "_scalar";
}
@@ -1329,6 +1345,13 @@ static void bitwise_unary_run(const oclMat &src1, oclMat &dst, string kernelName
enum { AND = 0, OR, XOR };
static std::string to_string(int value)
{
std::ostringstream stream;
stream << value;
return stream.str();
}
static void bitwise_binary_run(const oclMat &src1, const oclMat &src2, const Scalar& src3, const oclMat &mask,
oclMat &dst, int operationType)
{
@@ -1337,17 +1360,20 @@ static void bitwise_binary_run(const oclMat &src1, const oclMat &src2, const Sca
CV_Assert(mask.empty() || (!mask.empty() && mask.type() == CV_8UC1 && mask.size() == src1.size()));
dst.create(src1.size(), src1.type());
int elemSize = dst.elemSize();
int cols1 = dst.cols * elemSize;
oclMat m;
const char operationMap[] = { '&', '|', '^' };
std::string kernelName("arithm_bitwise_binary");
std::string buildOptions = format("-D Operation=%c", operationMap[operationType]);
int vlen = std::min<int>(8, src1.elemSize1() * src1.oclchannels());
std::string vlenstr = vlen > 1 ? to_string(vlen) : "";
std::string buildOptions = format("-D Operation=%c -D vloadn=vload%s -D vstoren=vstore%s -D elemSize=%d -D vlen=%d"
" -D ucharv=uchar%s",
operationMap[operationType], vlenstr.c_str(), vlenstr.c_str(),
(int)src1.elemSize(), vlen, vlenstr.c_str());
size_t localThreads[3] = { 16, 16, 1 };
size_t globalThreads[3] = { cols1, dst.rows, 1 };
size_t globalThreads[3] = { dst.cols, dst.rows, 1 };
vector<pair<size_t , const void *> > args;
args.push_back( make_pair( sizeof(cl_mem), (void *)&src1.data ));
@@ -1360,7 +1386,6 @@ static void bitwise_binary_run(const oclMat &src1, const oclMat &src2, const Sca
m.setTo(src3);
args.push_back( make_pair( sizeof(cl_mem), (void *)&m.data ));
args.push_back( make_pair( sizeof(cl_int), (void *)&elemSize ) );
kernelName += "_scalar";
}
@@ -1377,9 +1402,6 @@ static void bitwise_binary_run(const oclMat &src1, const oclMat &src2, const Sca
args.push_back( make_pair( sizeof(cl_int), (void *)&mask.step ));
args.push_back( make_pair( sizeof(cl_int), (void *)&mask.offset ));
if (!src2.empty())
args.push_back( make_pair( sizeof(cl_int), (void *)&elemSize ));
kernelName += "_mask";
}
@@ -1387,7 +1409,7 @@ static void bitwise_binary_run(const oclMat &src1, const oclMat &src2, const Sca
args.push_back( make_pair( sizeof(cl_int), (void *)&dst.step ));
args.push_back( make_pair( sizeof(cl_int), (void *)&dst.offset ));
args.push_back( make_pair( sizeof(cl_int), (void *)&cols1 ));
args.push_back( make_pair( sizeof(cl_int), (void *)&src1.cols ));
args.push_back( make_pair( sizeof(cl_int), (void *)&src1.rows ));
openCLExecuteKernel(src1.clCxt, mask.empty() ? (!src2.empty() ? &arithm_bitwise_binary : &arithm_bitwise_binary_scalar) :
@@ -1400,12 +1422,12 @@ void cv::ocl::bitwise_not(const oclMat &src, oclMat &dst)
{
if (!src.clCxt->supportsFeature(FEATURE_CL_DOUBLE) && src.depth() == CV_64F)
{
CV_Error(CV_OpenCLDoubleNotSupported, "selected device doesn't support double");
CV_Error(CV_OpenCLDoubleNotSupported, "Selected device doesn't support double");
return;
}
dst.create(src.size(), src.type());
bitwise_unary_run(src, dst, "arithm_bitwise_not", &arithm_bitwise_not);
bitwise_unary_run(src, dst, "arithm_bitwise_not", &arithm_bitwise_not);
}
void cv::ocl::bitwise_or(const oclMat &src1, const oclMat &src2, oclMat &dst, const oclMat &mask)