/*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*/ #define Dtype float #define Dtype4 float4 #define Dtype8 float8 #if NUM == 8 #define load(src, index) vload8(0, src + index) #define store(vec, dst, index) vstore8(vec, 0, dst + index) #define vec_type Dtype8 #define BATCH_NORM batch_norm8 #elif NUM == 4 #define load(src, index) vload4(0, src + index) #define store(vec, dst, index) vstore4(vec, 0, dst + index) #define vec_type Dtype4 #define BATCH_NORM batch_norm4 #elif NUM == 1 #define load(src, index) src[index] #define store(vec, dst, index) dst[index] = vec #define vec_type Dtype #define BATCH_NORM batch_norm1 #endif __kernel void BATCH_NORM(__global const Dtype* src, const int rows, const int cols, const int channels, __global const Dtype* weight, __global const Dtype* bias, __global Dtype* dst) { int x = get_global_id(0); int y = get_global_id(1) * NUM; int index = x * cols + y; if (x >= rows || y >= cols) return; Dtype w = weight[x % channels]; Dtype b = bias[x % channels]; vec_type src_vec = load(src, index); vec_type dst_vec = src_vec * w + (vec_type)b; store(dst_vec, dst, index); }