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Merge pull request #3159 from ElenaGvozdeva:ocl_gemm

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This commit is contained in:
Alexander Alekhin 2014-10-29 11:18:06 +00:00
commit efebd83bc8
2 changed files with 197 additions and 2 deletions
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87
modules/core/src/matmul.cpp
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@ -693,7 +693,7 @@ static void GEMMStore_64fc( const Complexd* c_data, size_t c_step,
#ifdef HAVE_CLAMDBLAS
static bool ocl_gemm( InputArray matA, InputArray matB, double alpha,
static bool ocl_gemm_amdblas( InputArray matA, InputArray matB, double alpha,
InputArray matC, double beta, OutputArray matD, int flags )
{
int type = matA.type(), esz = CV_ELEM_SIZE(type);
@ -775,6 +775,84 @@ static bool ocl_gemm( InputArray matA, InputArray matB, double alpha,
#endif
#ifdef HAVE_OPENCL
static bool ocl_gemm( InputArray matA, InputArray matB, double alpha,
InputArray matC, double beta, OutputArray matD, int flags )
{
int depth = matA.depth(), cn = matA.channels();
int type = CV_MAKETYPE(depth, cn);
CV_Assert( type == matB.type() && (type == CV_32FC1 || type == CV_64FC1 || type == CV_32FC2 || type == CV_64FC2) );
const ocl::Device & dev = ocl::Device::getDefault();
bool doubleSupport = dev.doubleFPConfig() > 0;
if (!doubleSupport && depth == CV_64F)
return false;
bool haveC = matC.kind() != cv::_InputArray::NONE;
Size sizeA = matA.size(), sizeB = matB.size(), sizeC = haveC ? matC.size() : Size(0, 0);
bool atrans = (flags & GEMM_1_T) != 0, btrans = (flags & GEMM_2_T) != 0, ctrans = (flags & GEMM_3_T) != 0;
if (atrans)
sizeA = Size(sizeA.height, sizeA.width);
if (btrans)
sizeB = Size(sizeB.height, sizeB.width);
if (haveC && ctrans)
sizeC = Size(sizeC.height, sizeC.width);
Size sizeD(sizeB.width, sizeA.height);
CV_Assert( !haveC || matC.type() == type );
CV_Assert( sizeA.width == sizeB.height && (!haveC || sizeC == sizeD) );
int max_wg_size = (int)dev.maxWorkGroupSize();
int block_size = (max_wg_size / (32*cn) < 32) ? (max_wg_size / (16*cn) < 16) ? (max_wg_size / (8*cn) < 8) ? 1 : 8 : 16 : 32;
matD.create(sizeD, type);
UMat A = matA.getUMat(), B = matB.getUMat(), D = matD.getUMat();
if (atrans)
A = A.t();
if (btrans)
B = B.t();
if (haveC)
ctrans ? transpose(matC, D) : matC.copyTo(D);
int vectorWidths[] = { 4, 4, 2, 2, 1, 4, cn, -1 };
int kercn = ocl::checkOptimalVectorWidth(vectorWidths, B, D);
String opts = format("-D T=%s -D T1=%s -D WT=%s -D cn=%d -D kercn=%d -D LOCAL_SIZE=%d %s %s %s",
ocl::typeToStr(type), ocl::typeToStr(depth), ocl::typeToStr(CV_MAKETYPE(depth, kercn)),
cn, kercn, block_size,
(sizeA.width % block_size !=0) ? "-D NO_MULT" : "",
haveC ? "-D HAVE_C" : "",
doubleSupport ? " -D DOUBLE_SUPPORT" : "");
ocl::Kernel k("gemm", cv::ocl::core::gemm_oclsrc, opts);
if (k.empty())
return false;
if (depth == CV_64F)
k.args(ocl::KernelArg::ReadOnlyNoSize(A),
ocl::KernelArg::ReadOnlyNoSize(B, cn, kercn),
ocl::KernelArg::ReadWrite(D, cn, kercn),
sizeA.width, alpha, beta);
else
k.args(ocl::KernelArg::ReadOnlyNoSize(A),
ocl::KernelArg::ReadOnlyNoSize(B, cn, kercn),
ocl::KernelArg::ReadWrite(D, cn, kercn),
sizeA.width, (float)alpha, (float)beta);
size_t globalsize[2] = { sizeD.width * cn / kercn, sizeD.height};
size_t localsize[2] = { block_size, block_size};
return k.run(2, globalsize, block_size!=1 ? localsize : NULL, false);
}
#endif
}
void cv::gemm( InputArray matA, InputArray matB, double alpha,
@ -783,7 +861,12 @@ void cv::gemm( InputArray matA, InputArray matB, double alpha,
#ifdef HAVE_CLAMDBLAS
CV_OCL_RUN(ocl::haveAmdBlas() && matA.dims() <= 2 && matB.dims() <= 2 && matC.dims() <= 2 && _matD.isUMat() &&
matA.cols() > 20 && matA.rows() > 20 && matB.cols() > 20, // since it works incorrect for small sizes
ocl_gemm(matA, matB, alpha, matC, beta, _matD, flags))
ocl_gemm_amdblas(matA, matB, alpha, matC, beta, _matD, flags))
#endif
#ifdef HAVE_OPENCL
CV_OCL_RUN(_matD.isUMat() && matA.dims() <= 2 && matB.dims() <= 2 && matC.dims() <= 2,
ocl_gemm(matA, matB, alpha, matC, beta, _matD, flags))
#endif
const int block_lin_size = 128;

112
modules/core/src/opencl/gemm.cl Normal file
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@ -0,0 +1,112 @@
// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
// Copyright (C) 2014, Itseez, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
#ifdef DOUBLE_SUPPORT
#ifdef cl_amd_fp64
#pragma OPENCL EXTENSION cl_amd_fp64:enable
#elif defined (cl_khr_fp64)
#pragma OPENCL EXTENSION cl_khr_fp64:enable
#endif
#endif
#define TSIZE (int)sizeof(T)
#define WTSIZE (int)sizeof(WT)
#define IND_A mad24(y, A_step, A_offset)
#define IND_B mad24(x, WTSIZE, B_offset)
#define STEP_B B_step / WTSIZE
#define LOCAL_SIZE_ODD (LOCAL_SIZE + 1)
#if cn==2
#if kercn==2
#define MUL(a, b)\
{\
sum.x += fma(a.x, b.x, - a.y * b.y);\
sum.y += fma(a.x, b.y, a.y * b.x);\
}
#else
#define MUL(a, b)\
{\
sum.x += fma(a.x, b.x, - a.y * b.y);\
sum.y += fma(a.x, b.y, a.y * b.x);\
sum.z += fma(a.x, b.z, - a.y * b.w);\
sum.w += fma(a.x, b.w, a.y * b.z);\
}
#endif
#else
#define MUL(a, b) sum = fma(a, b, sum);
#endif
__kernel void gemm(__global const uchar * A_ptr, int A_step, int A_offset,
__global const uchar * B_ptr, int B_step, int B_offset,
__global uchar * D_ptr, int D_step, int D_offset, int D_rows, int D_cols,
int n, T1 alpha, T1 beta)
{
int x = get_global_id(0);
int y = get_global_id(1);
int lidx = get_local_id(0);
int lidy = get_local_id(1);
__global const T* A = (__global const T*)(A_ptr + IND_A);
__global const WT* B = (__global const WT*)(B_ptr + IND_B);
WT sum = (WT)(0);
#if LOCAL_SIZE == 1
if (x < D_cols && y < D_rows)
{
for (int i = 0; i < n; ++i)
MUL(A[i], B[i*STEP_B]);
#else
__local T a_local[LOCAL_SIZE_ODD*LOCAL_SIZE];
__local WT b_local[LOCAL_SIZE_ODD*LOCAL_SIZE];
int reps;
#if NO_MULT
reps = (n + LOCAL_SIZE-1)/LOCAL_SIZE;
#else
reps = n/LOCAL_SIZE;
#endif
for (int p = 0; p < reps; ++p)
{
if (p * LOCAL_SIZE + lidx < n && y < D_rows)
a_local[mad24(lidy, LOCAL_SIZE_ODD, lidx)] = A[mad24(p, LOCAL_SIZE, lidx)];
if (p * LOCAL_SIZE + lidy < n && x < D_cols)
b_local[mad24(lidy, LOCAL_SIZE_ODD, lidx)] = B[mad24(p, LOCAL_SIZE, lidy)*STEP_B];
barrier(CLK_LOCAL_MEM_FENCE);
if (x < D_cols && y < D_rows)
{
#if NO_MULT
int ie = min(LOCAL_SIZE, n - p * LOCAL_SIZE);
for (int i = 0; i < ie; ++i)
#else
for (int i = 0; i < LOCAL_SIZE; ++i)
#endif
MUL(a_local[mad24(lidy, LOCAL_SIZE_ODD, i)], b_local[mad24(i, LOCAL_SIZE_ODD, lidx)]);
}
barrier(CLK_LOCAL_MEM_FENCE);
}
if (x < D_cols && y < D_rows)
{
#endif
__global WT* D = (__global WT*)(D_ptr + mad24(y, D_step, mad24(x, WTSIZE, D_offset)));
#if HAVE_C
D[0] = mad(alpha, sum, D[0]*beta);
#else
D[0] = alpha * sum;
#endif
}
}