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 int8_t ds_cnn_l_input[490] = {
7     44,   -118, -1,   12,   -81,  42,   68,  23,   -11,  38,   -106, 55,   64,   76,   -95,  88,   -61, 51,   -50,  26,
8     123,  -46,  34,   91,   67,   -10,  -3,  11,   -25,  -3,   101,  88,   -119, 36,   -12,  -20,  83,  94,   33,   31,
9     -107, -47,  -39,  37,   114,  86,   -26, -30,  -92,  55,   -123, -16,  -41,  -70,  -85,  -52,  -58, -68,  -53,  100,
10     88,   61,   4,    -114, -40,  26,   50,  118,  12,   77,   76,   -59,  -70,  -71,  -87,  -30,  65,  -62,  -56,  -6,
11     102,  -3,   46,   74,   -89,  -54,  106, 79,   -41,  40,   -27,  7,    46,   72,   95,   -6,   -40, -34,  -21,  17,
12     -47,  11,   13,   -28,  37,   102,  115, 108,  -103, -62,  -119, 86,   -51,  -21,  -81,  -110, -56, 24,   -33,  -42,
13     -119, -101, -50,  -106, 20,   23,   110, 37,   -13,  -120, -83,  -123, 80,   -109, -59,  -34,  115, 18,   -90,  85,
14     69,   -98,  -120, 117,  126,  -57,  -75, 71,   -49,  -121, 110,  -93,  47,   -99,  57,   94,   64,  -119, 62,   94,
15     -46,  59,   6,    122,  -29,  -32,  -66, -7,   88,   39,   21,   76,   49,   -4,   -120, 77,   115, 2,    -93,  -10,
16     -99,  -125, -66,  5,    19,   66,   80,  71,   19,   -116, 75,   45,   14,   -69,  -57,  -98,  39,  -31,  -5,   56,
17     -96,  93,   81,   35,   65,   -65,  127, 20,   -119, 77,   50,   -92,  57,   -54,  17,   9,    -1,  82,   85,   113,
18     -96,  34,   -76,  66,   -97,  90,   23,  5,    74,   66,   -100, -101, 116,  -56,  -89,  -22,  23,  96,   -67,  -7,
19     35,   106,  57,   -61,  126,  -7,   51,  -81,  75,   -83,  -76,  70,   -14,  43,   38,   60,   55,  -60,  70,   -12,
20     -100, 88,   -17,  -73,  -94,  99,   4,   17,   0,    40,   29,   -94,  0,    -24,  79,   -124, 36,  103,  122,  -46,
21     -75,  -36,  -99,  30,   5,    -105, -47, -90,  -90,  -50,  50,   28,   104,  -115, 106,  -72,  116, -30,  111,  29,
22     -111, 113,  112,  -30,  -49,  -7,   25,  113,  4,    49,   -112, 103,  -23,  70,   11,   46,   -86, 108,  -81,  -13,
23     58,   53,   -120, -36,  -97,  58,   113, 28,   -8,   -45,  97,   -17,  -127, -47,  -128, 103,  -63, 117,  23,   50,
24     103,  -17,  -22,  -103, 41,   111,  -22, -113, -71,  -24,  -59,  120,  -93,  -71,  49,   42,   -26, -81,  -76,  39,
25     -9,   108,  46,   43,   -117, 59,   64,  -85,  46,   33,   91,   -75,  -46,  92,   47,   -37,  -37, -48,  -127, -95,
26     0,    119,  -84,  64,   14,   105,  63,  -48,  -29,  74,   26,   27,   -75,  -90,  -100, -35,  12,  -53,  -74,  -45,
27     -7,   -22,  120,  17,   42,   -65,  86,  -119, -44,  -80,  -56,  -16,  75,   72,   -33,  34,   -60, -111, -122, 125,
28     -122, 51,   -3,   117,  68,   27,   -97, -102, -81,  -60,  -99,  39,   -1,   114,  -8,   -75,  116, -73,  19,   34,
29     3,    20,   -53,  -87,  76,   115,  75,  126,  -28,  -101, -78,  39,   52,   -92,  116,  20,   104, 55,   87,   -64,
30     -50,  -113, -108, -22,  15,   -92,  -32, -9,   20,   70,   5,    -7,   99,   44,   18,   -66,  58,  -37,  30,   31,
31     -105, -69,  50,   -88,  79,   42,   7,   -42,  13,   11};
32