File content as of revision 1:c44001c6bbf8:

#pragma once

const int stride = 2;
const int kernel_count = 8;
const int kernel_size = 4;
const int image_size = 28;

const int convImageSize = (image_size - kernel_size) / stride + 1;
//std::vector<std::vector<float> > image = std::vector<std::vector<float> >(28, std::vector<float>(28, 0.0f));
float image[28][28] = {-0.5f};
//const std::vector<std::vector<std::vector<float> > > kernels = std::vector<std::vector<std::vector<float> > >(kernel_count, std::vector<std::vector<float> >(kernel_size, std::vector<float>(kernel_size, 0.0f)));
//const float kernels[kernel_count][kernel_size][kernel_size] = {0.0f};
//const float bias_kernels[kernel_count] = {0.0f};
//std::vector<float> activated(kernel_count * convImageSize * convImageSize);
float activated[kernel_count * convImageSize * convImageSize] = { 0.0f };

//const std::vector<std::vector<float> > weights = std::vector<std::vector<float> >(10, std::vector<float>(kernel_count * convImageSize * convImageSize));
//const float weights[10][kernel_count * convImageSize * convImageSize] = { 0.0f };
//const float bias_weights[10] = {0.0f};

//const float convImages[kernel_count][convImageSize][convImageSize] = 

/// new code from c++


const float kernels[kernel_count][kernel_size][kernel_size] = {{{-1.01081, -1.78989, -0.552032, 1.01814}, {-1.63849, -1.25246, 0.295075, 1.0604}, {-1.52022, -0.923819, 1.93481, 1.40607}, {-1.60144, -0.307462, 1.81143, 1.06675}}, {{-0.758482, 0.179353, 0.438091, 0.367944}, {-0.383311, 0.997245, 1.28515, 0.919137}, {-0.649462, 0.399981, 0.699305, 0.745563}, {-0.023449, 0.902529, 1.82247, 0.610457}}, {{-0.0400643, -0.118862, 0.659298, 0.976635}, {-0.226508, 0.245497, 0.595656, 1.6868}, {1.33748, 1.07026, 1.36612, 0.528341}, {1.17569, 0.719557, -0.768594, -0.439}}, {{0.323669, 0.904749, 1.70538, 1.1731}, {-1.58033, 0.00831194, 1.95718, 1.42617}, {-1.78664, -1.12022, 0.550419, 0.939726}, {-1.37935, -1.80033, 0.106619, 1.10187}}, {{1.27226, 1.15556, -0.11242, -0.923521}, {0.669006, 1.2414, 1.63359, -0.0424935}, {-0.728033, -0.386935, 1.05247, 1.08513}, {-0.636308, -1.11437, -0.328895, 1.98443}}, {{1.01658, 1.63552, 1.59175, 1.51986}, {0.410274, 1.2305, 1.4274, 0.672727}, {-1.3512, -1.87873, -1.13042, -0.833957}, {-1.60595, -1.88525, -2.12884, -1.08705}}, {{-1.08925, 0.0556109, 0.683938, 0.572581}, {-1.50219, -2.19516, -1.56723, -1.35482}, {-0.0304434, -0.237657, -1.18816, -1.50116}, {0.900746, 0.863792, 0.465329, 0.549435}}, {{0.48392, -0.722259, -1.18896, -0.184937}, {-0.534505, -1.10443, -0.795713, 0.242404}, {-0.209939, -1.36473, -0.552264, -0.0779372}, {0.0327447, -1.45355, -0.736824, 0.0419642}}};
const float bias_kernels[kernel_count] = {-1.01233, -0.0700131, 0.962957, 0.0925588, -0.124831, -1.26567, -1.75514, -1.812};
const float weights[10][kernel_count * convImageSize * convImageSize] = {{-0.0880301, -0.0895173, 0.0326247, -0.0954243, -0.0706094, -0.197569, -0.190647, -0.0510268, -0.0634136, 0.0343635, -0.0612173, -0.0357321, -0.0888078, 0.00274312, -0.179104, -0.105156, -0.125222, -0.152552, -0.019913, -0.0480107, -0.119933, 0.151983, -0.112398, 0.15126, 0.0717639, 0.0318152, -0.0379883, -0.105153, 0.0470134, -0.0659087, -0.226077, -0.261309, -0.354764, -0.106009, -0.0918134, 0.00711855, -0.0622499, -0.180229, -0.0551929, -0.105504, 0.129304, 0.113618, -0.0265121, 0.059004, -0.113745, -0.245277, -0.353424, -0.0474547, -0.238919, -0.267232, -0.0162922, -0.0994659, 0.107188, -0.0448482, 0.115377, 0.0707563, 0.107032, 0.010465, 0.0918553, -0.023413, -0.26445, -0.241023, -0.0648256, -0.131896, -0.0772425, 0.193136, 0.18892, 0.250279, 0.475136, 0.392732, 0.130077, -0.0240522, 0.162016, -0.167537, 0.0112186, 0.130401, -0.0239529, -0.104149, 0.107759, 0.119467, 0.302819, 0.139469, 0.37688, 0.318595, 0.0485245, 0.0319553, -0.0275184, 0.103667, 0.239424, 0.0669661, -0.0906927, 0.0644847, 0.078104, 0.249969, 0.0825707, 0.350452, 0.356651, 0.435177, 0.385607, 0.273081, -0.0292045, 0.0692566, 0.093111, 0.0757151, 0.193929, 0.0615489, 0.107564, 0.214534, 0.279647, 0.307759, 0.0237831, 0.12204, 0.440855, 0.387791, 0.335104, 0.185637, -0.0362231, 0.198247, -0.100815, 0.240317, 0.031038, -0.0113532, 0.0738543, -0.0775011, -0.0414485, -0.110346, 0.221959, 0.00173701, 0.0357979, 0.0522751, 0.0585414, 0.0856181, -0.0369662, 0.00924457, -0.0939024, -0.605829, -0.594885, -0.134031, -0.271091, -0.162035, -0.178787, -0.0266706, -0.0227672, -0.0826577, -0.0859999, -0.054356, -0.0826533, -0.168256, -0.543097, -0.532891, -0.636337, -0.564848, -0.0284221, -0.284325, 0.0535846, 0.00258309, 0.0647762, -0.0248129, -0.0187048, -0.132165, 0.0417267, -0.176021, -0.307208, -0.195336, -0.282522, 0.0156896, 0.00803887, 0.0738937, -0.0353483, 0.0503392, 0.00558091, 0.0215063, -0.0670891, 0.0345492, 0.0393835, 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const float bias_weights[10] = {-0.0114061, -0.085721, -0.0433665, 0.0521415, -0.108397, -0.149676, 0.110237, -0.141807, 0.133699, 0.0273976};