av1_ml_partition_models.h (6454B)
1 /* 2 * Copyright (c) 2016, Alliance for Open Media. All rights reserved. 3 * 4 * This source code is subject to the terms of the BSD 2 Clause License and 5 * the Alliance for Open Media Patent License 1.0. If the BSD 2 Clause License 6 * was not distributed with this source code in the LICENSE file, you can 7 * obtain it at www.aomedia.org/license/software. If the Alliance for Open 8 * Media Patent License 1.0 was not distributed with this source code in the 9 * PATENTS file, you can obtain it at www.aomedia.org/license/patent. 10 */ 11 12 #ifndef AOM_AV1_ENCODER_AV1_ML_PARTITION_MODELS_H_ 13 #define AOM_AV1_ENCODER_AV1_ML_PARTITION_MODELS_H_ 14 15 #ifdef __cplusplus 16 extern "C" { 17 #endif 18 19 #include "av1/encoder/ml.h" 20 21 // TODO(kyslov): Replace with proper weights after training AV1 models 22 23 #define FEATURES 6 24 static const float av1_var_part_nn_weights_64_layer0[FEATURES * 8] = { 25 0.35755366f, 0.86281112f, -0.20871686f, 0.0409634f, 0.97305766f, 26 0.75510254f, 0.04860447f, 0.77095283f, -0.44105278f, -0.3755049f, 27 -0.08456618f, 1.1821136f, -0.73956301f, 1.30016453f, 0.45566902f, 28 0.4742967f, 0.44213975f, 0.4876028f, 0.26720522f, -0.34429858f, 29 -0.25148252f, -0.49623932f, -0.46747941f, -0.36656624f, 0.10213375f, 30 0.60262819f, -0.54788715f, -0.27272022f, 1.0995462f, -0.36338376f, 31 -0.64836313f, 0.16057039f, 1.02782791f, 0.9985311f, 0.90607883f, 32 0.80570411f, -0.07750863f, -0.74006402f, 1.72839526f, 1.72355343f, 33 1.69288916f, 1.59102043f, 0.14140216f, -1.47262839f, 0.4262519f, 34 -0.33805936f, -0.02449707f, 0.67203692f 35 }; 36 37 static const float av1_var_part_nn_bias_64_layer0[8] = { 38 0.39995694f, 0.65593756f, 1.12876737f, 1.28790576f, 39 0.53468556f, 0.3177908f, -0.74388266f, -1.81131248f 40 }; 41 42 static const float av1_var_part_nn_weights_64_layer1[8] = { 43 -1.31174053f, 0.69696917f, 0.78721456f, 0.45326379f, 44 0.79258322f, 1.74626188f, -5.41831f, 3.33887435f 45 }; 46 47 static const float av1_var_part_nn_bias_64_layer1[1] = { -0.90951047f }; 48 49 static const float av1_var_part_means_64[FEATURES] = { 50 5.36750249f, 11.58023127f, 0.25550964f, 0.23809917f, 0.24650665f, 0.22117687f 51 }; 52 static const float av1_var_part_vars_64[FEATURES] = { 53 0.89599769f, 2.2686018f, 0.02568608f, 0.02523411f, 0.02443085f, 0.01922085f 54 }; 55 56 static const NN_CONFIG av1_var_part_nnconfig_64 = { 57 FEATURES, // num_inputs 58 1, // num_outputs 59 1, // num_hidden_layers 60 { 61 8, 62 }, // num_hidden_nodes 63 { 64 av1_var_part_nn_weights_64_layer0, 65 av1_var_part_nn_weights_64_layer1, 66 }, 67 { 68 av1_var_part_nn_bias_64_layer0, 69 av1_var_part_nn_bias_64_layer1, 70 }, 71 }; 72 73 static const float av1_var_part_nn_weights_32_layer0[FEATURES * 8] = { 74 0.97886049f, -1.66262011f, 0.94902798f, 0.7080922f, 0.91181186f, 75 0.35222601f, -0.04428585f, 0.42086472f, -0.0206325f, -0.77937809f, 76 -0.70947522f, -1.24463119f, 0.23739497f, -1.34327359f, 0.01024804f, 77 0.4544633f, -0.96907661f, 0.67279522f, 0.23180693f, 1.54063368f, 78 -0.15700707f, 0.18597331f, 0.34167589f, 0.40736558f, 0.69213366f, 79 -1.33584593f, 1.21190814f, 1.26725267f, 1.21284802f, 1.26611399f, 80 0.17546514f, -0.30248399f, -1.32589316f, -1.37432674f, -1.37423023f, 81 -1.26890855f, 0.12166347f, -0.94565678f, -1.47475267f, -0.69279948f, 82 -0.10166587f, -0.23489881f, 0.57123565f, 0.80051137f, -1.28411946f, 83 -1.36576732f, -1.30257508f, -1.30575106f 84 }; 85 86 static const float av1_var_part_nn_bias_32_layer0[8] = { 87 -1.6301435f, 0.61879037f, -1.68612662f, 1.66960165f, 88 -0.0838243f, 0.32253287f, -0.65755282f, 0.96661531f 89 }; 90 91 static const float av1_var_part_nn_weights_32_layer1[8] = { 92 1.99257161f, 0.7331492f, 1.33539961f, 1.13501456f, 93 -2.21154528f, 1.85858542f, -0.85565298f, -1.96410246f 94 }; 95 96 static const float av1_var_part_nn_bias_32_layer1[1] = { -0.14880827f }; 97 98 static const float av1_var_part_means_32[FEATURES] = { 99 5.36360686f, 9.88421868f, 0.23543671f, 0.23621205f, 0.23409667f, 0.22855539f 100 }; 101 102 static const float av1_var_part_vars_32[FEATURES] = { 103 0.89077225f, 2.32312894f, 0.02167654f, 0.02392842f, 0.02466495f, 0.02047641f 104 }; 105 106 static const NN_CONFIG av1_var_part_nnconfig_32 = { 107 FEATURES, // num_inputs 108 1, // num_outputs 109 1, // num_hidden_layers 110 { 111 8, 112 }, // num_hidden_nodes 113 { 114 av1_var_part_nn_weights_32_layer0, 115 av1_var_part_nn_weights_32_layer1, 116 }, 117 { 118 av1_var_part_nn_bias_32_layer0, 119 av1_var_part_nn_bias_32_layer1, 120 }, 121 }; 122 123 static const float av1_var_part_nn_weights_16_layer0[FEATURES * 8] = { 124 0.45118305f, -0.22068295f, 0.4604435f, -0.1446326f, -0.15765035f, 125 0.42260198f, -0.0945916f, 0.49544996f, 0.62781567f, -0.41564372f, 126 -0.39103292f, 0.44407624f, 0.48382613f, -0.85424238f, -0.00961433f, 127 0.25383582f, 0.14403897f, 0.00901859f, -0.83201967f, -0.19323284f, 128 0.59271213f, 0.69487457f, 0.6897112f, 0.62768521f, 0.9204492f, 129 -1.42448347f, -0.16491054f, -0.10114424f, -0.1069687f, -0.11289049f, 130 0.26290832f, -0.41850393f, 0.17239733f, 0.41770622f, 0.43725942f, 131 0.19362467f, -0.35955731f, -0.899446f, 0.49726389f, 0.66569571f, 132 0.65893982f, 0.53199654f, -0.1158694f, -0.26472603f, 0.4155923f, 133 0.15059544f, 0.09596755f, 0.26247133f 134 }; 135 136 static const float av1_var_part_nn_bias_16_layer0[8] = { 137 1.64486321f, -0.11851574f, 1.29322833f, -0.61193136f, 138 0.33027532f, 1.04197232f, -0.80716674f, 0.88681233f 139 }; 140 141 static const float av1_var_part_nn_weights_16_layer1[8] = { 142 -1.02832118f, 0.72800106f, -0.42904783f, 1.44490586f, 143 -1.03888227f, -0.9023916f, -1.51543102f, -0.43059521f 144 }; 145 146 static const float av1_var_part_nn_bias_16_layer1[1] = { -0.85087946f }; 147 148 static const float av1_var_part_means_16[FEATURES] = { 149 5.32551326f, 8.218448f, 0.21954822f, 0.22808377f, 0.23019798f, 0.22320699f 150 }; 151 152 static const float av1_var_part_vars_16[FEATURES] = { 0.86806032f, 2.39938956f, 153 0.01958579f, 0.02437927f, 154 0.02420755f, 0.0192003f }; 155 156 static const NN_CONFIG av1_var_part_nnconfig_16 = { 157 FEATURES, // num_inputs 158 1, // num_outputs 159 1, // num_hidden_layers 160 { 161 8, 162 }, // num_hidden_nodes 163 { 164 av1_var_part_nn_weights_16_layer0, 165 av1_var_part_nn_weights_16_layer1, 166 }, 167 { 168 av1_var_part_nn_bias_16_layer0, 169 av1_var_part_nn_bias_16_layer1, 170 }, 171 }; 172 173 #undef FEATURES 174 175 #ifdef __cplusplus 176 } // extern "C" 177 #endif 178 179 #endif // AOM_AV1_ENCODER_AV1_ML_PARTITION_MODELS_H_