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/*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];
}
}