1 // Generated by generate_test_data.py using tensorflow version 2.10.0 (Keras version 2.10.0). 2 // Interpreter from tensorflow version 2.10.0 and revision v2.10.0-rc3-6-g359c3cdfc5f. 3 #pragma once 4 #include <stdint.h> 5 6 const int32_t ds_cnn_l_layer_11_conv_2d_bias[276] = { 7 5786, 2930, -443, 771, 6670, -2381, -4639, -3235, 681, 3218, 6017, 3891, 374, 3324, -4162, 5724, 8 6595, 8283, 7091, 2407, 15128, -526, 1303, 6826, 2266, 4398, -11538, 250, 7593, 595, -523, 1866, 9 -4067, -1232, -3327, -1831, -2302, 3996, 5320, 2121, 2281, 3306, 2949, 3258, -2410, -4901, 467, -77, 10 12147, 1750, 885, -2416, 6306, 9560, -188, -650, 416, -1332, 1140, 4569, 1736, -868, 4077, 2323, 11 2706, 10789, 533, 13151, -215, 970, -687, -4142, 887, 8675, 348, -3381, 4232, 1753, 1203, 2537, 12 3603, -4018, 4276, 1254, 2967, 5354, -497, 7379, 5219, 8500, -5213, 3148, 2672, 801, -3492, -4048, 13 3110, 1728, 4267, 1059, 3839, 2914, -2478, -1222, 714, 3620, 7927, -780, 1302, -3209, -382, 4760, 14 5143, -2159, 1368, 2198, -3318, 882, -839, 4800, 1361, 10297, -370, 1847, -2819, 165, 8717, 2776, 15 -2534, 2626, -4324, -3326, 2104, 10843, 519, 8209, 2650, 382, 11888, 7135, 5963, -2135, -2201, 8469, 16 -2234, 7498, -2256, 4393, 2839, -876, -1252, -5620, 879, 13352, 576, -2929, 3090, 706, -1625, 234, 17 8510, 4629, -387, 6795, 3624, 5586, 1347, 3303, 1960, 9941, -869, 2710, 4434, -5066, 3761, -1227, 18 -2934, -3577, 267, -5802, 11759, 2658, 9844, -1160, -4261, -4721, -1895, -148, -4768, 8765, 12630, 191, 19 7679, 4149, 935, 59, 6218, 6338, -1095, 4682, 1549, 11390, 362, 807, 6356, 4474, 4170, 3380, 20 7200, 4416, 1421, 6510, 7290, 950, 8979, 2496, 1224, 5484, -956, 3378, 9746, 143, 1032, 5882, 21 6603, 2703, -6124, 10788, 1755, 4721, -2866, 6798, 1220, -81, 4529, 3987, -2085, -2752, -2659, 9204, 22 4511, 7235, 771, -3167, 3518, 10830, -1123, -6414, -88, 6085, -3298, -612, -535, 707, 1717, 540, 23 7962, -1579, -8548, 10179, -4420, -4416, -3593, -5038, -2911, 8700, 2591, -2837, -3201, -1166, -1426, 3502, 24 448, 6167, 4930, 2511}; 25
