mirror of
https://gitcode.com/gh_mirrors/es/esp32-opencv.git
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147 lines
4.3 KiB
C++
147 lines
4.3 KiB
C++
/*
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* Copyright 2015-2017 Philippe Tillet
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* Copyright (c) 2017, Intel Corporation
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*
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* Permission is hereby granted, free of charge, to any person obtaining
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* a copy of this software and associated documentation files
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* (the "Software"), to deal in the Software without restriction,
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* including without limitation the rights to use, copy, modify, merge,
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* publish, distribute, sublicense, and/or sell copies of the Software,
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* and to permit persons to whom the Software is furnished to do so,
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* subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be
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* included in all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
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* MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
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* IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
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* CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
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* TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
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* SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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*/
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#ifdef HAVE_OPENCL
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#include <sstream>
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#include "precomp.hpp"
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#include "opencl_kernels_core.hpp"
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#include "opencv2/core/opencl/runtime/opencl_clamdblas.hpp"
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#include "opencv2/core/opencl/runtime/opencl_core.hpp"
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namespace cv
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{
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static bool intel_gpu_gemm(
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UMat A, Size sizeA,
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UMat B, Size sizeB,
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UMat D, Size sizeD,
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double alpha, double beta,
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bool atrans, bool btrans)
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{
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CV_UNUSED(sizeB);
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int M = sizeD.height, N = sizeD.width, K = ((atrans)? sizeA.height : sizeA.width);
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std::string kernelName;
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bool ret = true;
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size_t lx = 8, ly = 4;
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size_t dx = 4, dy = 8;
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if(!atrans && !btrans)
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{
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if (M % 32 == 0 && N % 32 == 0 && K % 16 == 0)
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{
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kernelName = "intelblas_gemm_buffer_NN_sp";
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}
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else
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{
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kernelName = "intelblas_gemm_buffer_NN";
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}
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}
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else if(atrans && !btrans)
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{
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kernelName = "intelblas_gemm_buffer_TN";
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}
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else if(!atrans && btrans)
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{
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kernelName = "intelblas_gemm_buffer_NT";
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ly = 16;
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dx = 1;
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}
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else
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{
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kernelName = "intelblas_gemm_buffer_TT";
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}
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const size_t gx = (size_t)(N + dx - 1) / dx;
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const size_t gy = (size_t)(M + dy - 1) / dy;
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size_t local[] = {lx, ly, 1};
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size_t global[] = {(gx + lx - 1) / lx * lx, (gy + ly - 1) / ly * ly, 1};
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int stride = (M * N < 1024 * 1024) ? 10000000 : 256;
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ocl::Queue q;
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String errmsg;
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const ocl::Program program = ocl::Context::getDefault().getProg(ocl::core::intel_gemm_oclsrc, "", errmsg);
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if(!atrans && btrans)
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{
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ocl::Kernel k(kernelName.c_str(), program);
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if (k.empty())
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{
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return false;
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}
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k.args(ocl::KernelArg::PtrReadOnly(A),
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(int) (A.offset / sizeof(float)),
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ocl::KernelArg::PtrReadOnly(B),
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(int) (B.offset / sizeof(float)),
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ocl::KernelArg::PtrWriteOnly(D),
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(int) (D.offset / sizeof(float)),
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M, N, K,
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(float)alpha,
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(float)beta,
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(int)(A.step / sizeof(float)),
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(int)(B.step / sizeof(float)),
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(int)(D.step / sizeof(float))
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);
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ret = k.run(2, global, local, false, q);
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}
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else
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{
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for(int start_index = 0; start_index < K; start_index += stride)
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{
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ocl::Kernel k(kernelName.c_str(), program);
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k.args(ocl::KernelArg::PtrReadOnly(A),
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(int) (A.offset / sizeof(float)),
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ocl::KernelArg::PtrReadOnly(B),
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(int) (B.offset / sizeof(float)),
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ocl::KernelArg::PtrWriteOnly(D),
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(int) (D.offset / sizeof(float)),
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M, N, K,
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(float)alpha,
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(float)beta,
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(int)(A.step / sizeof(float)),
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(int)(B.step / sizeof(float)),
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(int)(D.step / sizeof(float)),
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(int) start_index, // 14 start_index
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stride);
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ret = k.run(2, global, local, false, q);
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if (!ret) return ret;
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}
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}
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return ret;
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}
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} // namespace cv
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#endif
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