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_10_depthwise_conv_2d_bias[276] = {
7     -5492, -4569, 8821,  4759,  -650,  1442,  -2058, -5442, 9845,  -123,  -5704, -2926, -5086, 3945,  -3089, 1957,
8     4963,  5068,  -4979, -2515, 5356,  5093,  4625,  1081,  4431,  -3455, 536,   4609,  3323,  6899,  -6103, -3768,
9     -7098, -4505, 2464,  -1224, 5669,  5772,  8650,  -5186, 704,   2456,  1587,  -3402, -5116, 6375,  3226,  -997,
10     76,    -4140, 2488,  -4556, -6002, 7890,  -313,  4491,  5141,  -4038, -4811, 5468,  -4826, -5986, 4955,  -3772,
11     -4255, -5262, -1159, -5243, 737,   1951,  -5333, -4078, 3951,  -4405, 1026,  -1556, 7074,  2075,  -3739, 3299,
12     -1323, 4815,  2038,  -990,  -3864, 7256,  3946,  1815,  108,   3393,  -543,  1286,  5767,  -4044, 1807,  1803,
13     363,   559,   2218,  -905,  7663,  -5683, 6406,  -3343, 2196,  1694,  4083,  -497,  -5836, -5664, 3542,  -5222,
14     -552,  -5819, 48,    -3535, -4226, -3767, 1711,  -4816, -5347, -5070, 1615,  -5498, -4601, -3256, 5744,  -2947,
15     -5782, -2096, 6019,  -6476, -1558, -4272, 1146,  -5239, 6030,  -4682, -3934, -3949, 8266,  -5424, -3955, 6976,
16     -4336, -4076, 526,   -2461, -3673, 4447,  1695,  4633,  -4358, 4154,  -2183, 2539,  -3111, -4733, 5103,  5609,
17     -2967, -296,  -4315, 629,   5264,  -4038, -4065, 7238,  3478,  8302,  5065,  -1057, 2465,  -3641, 2478,  -3244,
18     3000,  5611,  -770,  -5887, 2292,  1065,  -4873, -4633, 5149,  -1660, 5937,  2122,  -6114, 1403,  8938,  2638,
19     -4147, 7514,  7608,  -633,  845,   -2098, 7442,  3742,  2747,  -2535, -1843, -7076, 6878,  -336,  7856,  2717,
20     -4595, 7045,  -5566, 3304,  -5152, 5042,  -3268, -6852, -5448, 5344,  -5716, -6293, -5018, 1330,  -4563, 1471,
21     6493,  1737,  -4987, 3302,  -6084, 3309,  6641,  -5114, -1353, -4860, 620,   -1115, 1274,  -4466, 6668,  3805,
22     -3692, -1906, 1372,  -6566, 145,   1667,  -4305, -4438, -5133, -5115, 1283,  -3086, 8600,  -394,  -3859, 7295,
23     4750,  -975,  -5216, -4787, -1489, -256,  7289,  -3368, 6486,  -3075, -4434, -4127, 5757,  1119,  -4368, -3991,
24     -768,  -235,  6469,  2721};
25