1 // Generated by generate_test_data.py using tensorflow version 2.11.0 (Keras version 2.11.0).
2 // Interpreter from tensorflow version 2.11.0 and revision v2.11.0-rc2-17-gd5b57ca93e5.
3 #pragma once
4 #include <stdint.h>
5 
6 const int8_t ds_cnn_s_input[490] = {
7     -127, 121,  -45,  97,   57,   62,   109,  105, -5,   25,   -69,  -86,  21,   63,   -109, 14,   37,   -34,  -78,
8     -103, -62,  -39,  -105, 94,   -81,  -120, 75,  13,   -41,  -2,   -107, -119, -88,  -16,  -8,   108,  -52,  -70,
9     -116, -49,  -5,   -118, -13,  -90,  56,   -9,  -55,  -69,  -28,  -99,  45,   13,   115,  -94,  -59,  -82,  -73,
10     75,   -13,  116,  -19,  47,   -3,   67,   51,  -54,  -61,  -59,  -66,  -69,  65,   78,   -81,  -31,  -127, -116,
11     -107, -98,  -27,  18,   -33,  47,   -120, 55,  -47,  -107, 29,   100,  123,  -123, -10,  51,   -54,  -123, -109,
12     -51,  108,  -111, 87,   -66,  -39,  27,   -47, 116,  -14,  19,   -20,  -57,  -93,  -16,  -47,  120,  -120, -115,
13     42,   87,   -74,  21,   48,   124,  32,   -39, -118, 16,   -47,  -45,  126,  -91,  -90,  -5,   62,   -15,  37,
14     72,   81,   32,   0,    -51,  -18,  -102, 27,  61,   112,  30,   89,   -23,  104,  -35,  -114, -114, 40,   31,
15     -7,   -111, 93,   66,   -126, -128, -2,   44,  -16,  95,   83,   14,   66,   95,   -88,  1,    -8,   26,   70,
16     -16,  53,   -42,  -64,  87,   60,   33,   -92, 56,   -100, 37,   -35,  117,  -72,  -39,  117,  41,   -17,  -97,
17     109,  -103, 34,   94,   -80,  -112, 115,  112, -60,  82,   -101, 76,   -93,  -31,  -37,  18,   -46,  -30,  66,
18     -60,  -68,  20,   40,   26,   -91,  -4,   -45, 117,  104,  39,   122,  94,   -49,  51,   60,   3,    -113, 69,
19     -30,  123,  -62,  71,   -11,  -112, 11,   -61, 27,   -74,  -62,  -64,  -49,  48,   7,    4,    -39,  -35,  18,
20     8,    -126, 124,  84,   -108, -5,   -53,  85,  -24,  -49,  12,   -35,  -6,   -109, -34,  -51,  10,   66,   -95,
21     -46,  103,  39,   87,   -61,  -43,  58,   104, 99,   75,   77,   -53,  13,   -110, -3,   116,  -101, -66,  21,
22     94,   -82,  12,   -48,  -49,  -74,  65,   8,   37,   -51,  -36,  15,   -126, 8,    -5,   62,   -19,  56,   -13,
23     -5,   31,   -23,  84,   -128, -45,  52,   -36, -4,   6,    -45,  32,   -100, -52,  -53,  5,    41,   24,   53,
24     -20,  -61,  92,   -77,  62,   -57,  -128, -90, 40,   -28,  -90,  28,   -97,  -56,  115,  -46,  114,  121,  42,
25     -50,  101,  102,  37,   -9,   -91,  -45,  10,  111,  102,  -81,  14,   -57,  -38,  -1,   97,   86,   -105, -64,
26     62,   -88,  121,  35,   -94,  -99,  13,   -47, 3,    -53,  97,   -83,  34,   -4,   -34,  -88,  -82,  -11,  -55,
27     54,   108,  -69,  -36,  30,   0,    -26,  116, -110, 96,   -74,  -97,  86,   -68,  42,   -24,  110,  23,   -122,
28     -79,  64,   77,   71,   5,    22,   113,  -59, -72,  6,    -100, -54,  -89,  87,   -36,  -73,  -52,  -125, -104,
29     -83,  -56,  -24,  -23,  -121, -86,  -97,  22,  -78,  74,   -77,  78,   75,   55,   123,  6,    109,  96,   -86,
30     -52,  -97,  32,   -96,  -77,  -85,  91,   -37, -30,  -19,  39,   -19,  -117, -41,  -75,  82,   26,   43,   12,
31     -63,  47,   84,   -48,  -50,  -6,   75,   82,  116,  71,   11,   -47,  0,    -107, -43,  39,   104,  56,   44,
32     -77,  -56,  16,   112,  17,   -37,  -20,  -25, 102,  60,   61,   -109, -107, 114,  52};
33