/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2017, Intel Corporation, all rights reserved. // Copyright (c) 2016-2017 Fabian David Tschopp, all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of the copyright holders may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ __kernel void col2im(const int n, __global const T* data_col, const int data_col_offset, const int channels, const int height, const int width, const int height_col, const int width_col, const int coeff_h, const int coeff_w, __global const T* biasvec, const int bias_offset, __global T* data_im, const int data_im_offset) { data_col = data_col + data_col_offset; biasvec = biasvec + bias_offset; data_im = data_im + data_im_offset; int index = get_global_id(0); if(index < n) { T val = 0.f; int w = index % width + PAD_W; int h = (index / width) % height + PAD_H; int c = index / (width * height); int h_col_start = (h < KERNEL_H) ? 0 : (h - KERNEL_H) / STRIDE_H + 1; int h_col_end = min(h / STRIDE_H + 1, height_col); int plane_size_col = height_col * width_col; int offset = (c * KERNEL_H * KERNEL_W + h * KERNEL_W + w) * plane_size_col; int w_col_start = (w < KERNEL_W) ? 0 : (w - KERNEL_W) / STRIDE_W + 1; int w_col_end = min(w / STRIDE_W + 1, width_col); for (int h_col = h_col_start; h_col < h_col_end; ++h_col) for (int w_col = w_col_start; w_col < w_col_end; ++w_col) val += data_col[offset + h_col * coeff_h + w_col * coeff_w]; data_im[index] = val + biasvec[c]; } }