use vectors
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@ -782,7 +782,6 @@ static bool ocl_gemm( InputArray matA, InputArray matB, double alpha,
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{
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int depth = matA.depth(), cn = matA.channels();
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int type = CV_MAKETYPE(depth, cn);
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const int block_size = 16;
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CV_Assert( type == matB.type() && (type == CV_32FC1 || type == CV_64FC1 || type == CV_32FC2 || type == CV_64FC2) );
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@ -808,14 +807,8 @@ static bool ocl_gemm( InputArray matA, InputArray matB, double alpha,
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CV_Assert( matB.type() == type && (!haveC || matC.type() == type) );
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CV_Assert( sizeA.width == sizeB.height && (!haveC || sizeC == sizeD) );
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String opts = format("-D T=%s -D T1=%s -D cn=%d -D LOCAL_SIZE=%d %s %s",
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ocl::typeToStr(type), ocl::typeToStr(depth), cn, block_size,
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haveC ? "-D HAVE_C" : "",
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doubleSupport ? " -D DOUBLE_SUPPORT" : "");
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ocl::Kernel k("gemm", cv::ocl::core::gemm_oclsrc, opts);
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if (k.empty())
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return false;
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int max_wg_size = (int)dev.maxWorkGroupSize();
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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;
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matD.create(sizeD, type);
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@ -832,24 +825,37 @@ static bool ocl_gemm( InputArray matA, InputArray matB, double alpha,
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else
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D.setTo(Scalar::all(0));
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int vectorWidths[] = { 4, 4, 2, 2, 1, 4, cn, -1 };
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int kercn = ocl::checkOptimalVectorWidth(vectorWidths, B, D);
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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",
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ocl::typeToStr(type), ocl::typeToStr(depth), ocl::typeToStr(CV_MAKETYPE(depth, kercn)),
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cn, kercn, block_size,
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(sizeA.width % block_size !=0) ? "-D NO_MULT" : "",
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haveC ? "-D HAVE_C" : "",
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doubleSupport ? " -D DOUBLE_SUPPORT" : "");
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ocl::Kernel k("gemm", cv::ocl::core::gemm_oclsrc, opts);
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if (k.empty())
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return false;
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if (depth == CV_64F)
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k.args(ocl::KernelArg::ReadOnlyNoSize(A),
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ocl::KernelArg::ReadOnlyNoSize(B),
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ocl::KernelArg::ReadWrite(D),
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ocl::KernelArg::ReadOnlyNoSize(B, cn, kercn),
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ocl::KernelArg::ReadWrite(D, cn, kercn),
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sizeA.width, alpha, beta);
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else
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k.args(ocl::KernelArg::ReadOnlyNoSize(A),
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ocl::KernelArg::ReadOnlyNoSize(B),
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ocl::KernelArg::ReadWrite(D),
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ocl::KernelArg::ReadOnlyNoSize(B, cn, kercn),
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ocl::KernelArg::ReadWrite(D, cn, kercn),
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sizeA.width, (float)alpha, (float)beta);
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size_t globalsize[2] = { sizeD.width, sizeD.height};
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size_t globalsize[2] = { sizeD.width * cn / kercn, sizeD.height};
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size_t localsize[2] = { block_size, block_size};
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return k.run(2, globalsize, localsize, false);
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return k.run(2, globalsize, block_size!=1 ? localsize : NULL, false);
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}
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#endif
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}
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void cv::gemm( InputArray matA, InputArray matB, double alpha,
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@ -13,21 +13,30 @@
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#endif
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#endif
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#define TSIZE (int)sizeof(T)
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#define TSIZE (int)sizeof(T)
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#define WTSIZE (int)sizeof(WT)
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#define IND_A mad24(y, A_step, A_offset)
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#define STEP_A 1
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#define IND_B mad24(x, TSIZE, B_offset)
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#define STEP_B B_step / TSIZE
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#define IND_B mad24(x, WTSIZE, B_offset)
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#define STEP_B B_step / WTSIZE
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#if cn==2
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#if kercn==2
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#define MUL(i, a, b)\
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{\
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sum.x += fma(a.x, b.x, - a.y * b.y);\
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sum.y += fma(a.x, b.y, a.y * b.x);\
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}
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#else
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#define MUL(i, a, b)\
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{\
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sum.x += fma(a.x, b.x, - a.y * b.y);\
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sum.y += fma(a.x, b.y, a.y * b.x);\
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sum.z += fma(a.x, b.z, - a.y * b.w);\
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sum.w += fma(a.x, b.w, a.y * b.z);\
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}
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#endif
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#else
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#define MUL(i, a, b) sum = fma(a, b, sum);
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#endif
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@ -44,22 +53,44 @@ __kernel void gemm(__global const uchar * A_ptr, int A_step, int A_offset,
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int lidy = get_local_id(1);
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__global const T* A = (__global const T*)(A_ptr + IND_A);
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__global const T* B = (__global const T*)(B_ptr + IND_B);
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__global const WT* B = (__global const WT*)(B_ptr + IND_B);
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T sum = (T)(0);
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__local T a_local[LOCAL_SIZE*LOCAL_SIZE];
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__local T b_local[LOCAL_SIZE*LOCAL_SIZE];
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WT sum = (WT)(0);
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for (int p = 0; p < (n+LOCAL_SIZE-1)/LOCAL_SIZE; ++p)
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#if LOCAL_SIZE == 1
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if (x < D_cols && y < D_rows)
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{
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a_local[mad24(lidy, LOCAL_SIZE, lidx)] = A[mad24(p, LOCAL_SIZE, lidx)];
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b_local[mad24(lidy, LOCAL_SIZE, lidx)] = B[mad24(p, LOCAL_SIZE, lidy)*STEP_B];
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for (int i = 0; i < n; ++i)
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MUL(i, A[i], B[i*STEP_B]);
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#else
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__local T a_local[LOCAL_SIZE*LOCAL_SIZE];
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__local WT b_local[LOCAL_SIZE*LOCAL_SIZE];
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int reps;
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#if NO_MULT
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reps = (n + LOCAL_SIZE-1)/LOCAL_SIZE;
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#else
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reps = n/LOCAL_SIZE;
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#endif
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for (int p = 0; p < reps; ++p)
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{
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if (p * LOCAL_SIZE + lidx < n && y < D_rows)
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a_local[mad24(lidy, LOCAL_SIZE, lidx)] = A[mad24(p, LOCAL_SIZE, lidx)];
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if (p * LOCAL_SIZE + lidy < n && x < D_cols)
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b_local[mad24(lidy, LOCAL_SIZE, lidx)] = B[mad24(p, LOCAL_SIZE, lidy)*STEP_B];
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barrier(CLK_LOCAL_MEM_FENCE);
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if (x < D_cols && y < D_rows)
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{
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for (int i = 0; i < LOCAL_SIZE && p * LOCAL_SIZE + i < n; ++i)
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for (int i = 0; i < LOCAL_SIZE
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#if NO_MULT
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&& p * LOCAL_SIZE + i < n
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#endif
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; ++i)
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MUL(i, a_local[mad24(lidy, LOCAL_SIZE, i)], b_local[mad24(i, LOCAL_SIZE, lidx)]);
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}
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@ -68,11 +99,12 @@ __kernel void gemm(__global const uchar * A_ptr, int A_step, int A_offset,
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if (x < D_cols && y < D_rows)
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{
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__global T* D = (__global T*)(D_ptr + mad24(y, D_step, mad24(x, TSIZE, D_offset)));
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#endif
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__global WT* D = (__global WT*)(D_ptr + mad24(y, D_step, mad24(x, WTSIZE, D_offset)));
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#if HAVE_C
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D[0] = mad(alpha, sum, D[0]*beta);
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#else
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D[0] = alpha * sum;
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#endif
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}
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}
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}
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@ -48,7 +48,7 @@ namespace ocl {
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using namespace cv;
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int test_loop_times = 10; // TODO Read from command line / environment
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int test_loop_times = 1; // TODO Read from command line / environment
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#ifdef HAVE_OPENCL
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