/*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) 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 concat(const int nthreads, __global const Dtype* in_data, const int num_concats, const int concat_size, const int top_concat_axis, const int bottom_concat_axis, const int offset_concat_axis, __global Dtype* out_data) { for (int index = get_global_id(0); index < nthreads; index += get_global_size(0)) { const int total_concat_size = concat_size * bottom_concat_axis; const int concat_num = index / total_concat_size; const int concat_index = index % total_concat_size; const int top_index = concat_index + (concat_num * top_concat_axis + offset_concat_axis) * concat_size; out_data[top_index] = in_data[index]; } }