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Tetragramm
GitHub Repository: Tetragramm/opencv
Path: blob/master/modules/dnn/src/ocl4dnn/include/math_functions.hpp
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2017, Intel Corporation, all rights reserved.
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// Copyright (c) 2016-2017 Fabian David Tschopp, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#ifndef _OPENCV_GREENTEA_MATH_FUNCTIONS_HPP_
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#define _OPENCV_GREENTEA_MATH_FUNCTIONS_HPP_
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#include "common.hpp"
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namespace cv
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{
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namespace dnn
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{
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namespace ocl4dnn
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{
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enum CBLAS_TRANSPOSE {CblasNoTrans=111, CblasTrans=112, CblasConjTrans=113};
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template<typename Dtype>
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bool ocl4dnnGEMMCommon(const CBLAS_TRANSPOSE TransB,
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const int32_t M, const int32_t N, const int32_t K,
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const UMat A, const UMat B,
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const UMat B_image, UMat C,
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const size_t max_image_size);
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template<typename Dtype>
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ocl::Image2D ocl4dnnGEMMCopyBufferToImage(UMat buffer, int offset,
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bool is_matrix_a, bool transpose,
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bool padding, int padded_height,
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int padded_width, int height,
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int width, int ld);
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template<typename Dtype>
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bool ocl4dnnGEMV(const CBLAS_TRANSPOSE TransA,
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const int32_t M, const int32_t N, const Dtype alpha,
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const UMat A, const int32_t offA, const UMat x,
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const int32_t offx, const Dtype beta, UMat y,
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const int32_t offy);
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template<typename Dtype>
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bool ocl4dnnAXPY(const int32_t N, const Dtype alpha,
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const UMat x, const int32_t offx, UMat y,
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const int32_t offy);
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} // namespace ocl4dnn
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} // namespace dnn
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} // namespce cv
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#endif
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