1 // Generated by generate_test_data.py using tensorflow version 2.17.0 (Keras version 3.5.0).
2 // Interpreter from tensorflow version 2.17.0 and revision v2.17.0-rc1-2-gad6d8cc177d.
3 #pragma once
4 #include <stdint.h>
5 
6 const int8_t transpose_ncwh_output[540] = {
7     42,   -33, -24, -6,   -40,  -81,  -37,  86,   93,   -46,  -56,  79,   -1,   14,   53,   -18,  12,   92,   15,
8     38,   -34, -15, -75,  -85,  113,  -105, 95,   24,   -127, 108,  -91,  111,  -79,  67,   -83,  -1,   -123, 95,
9     48,   125, -50, 43,   56,   -85,  -60,  -127, 34,   -86,  21,   -86,  121,  121,  -24,  -86,  48,   16,   -7,
10     25,   -84, 57,  83,   -56,  124,  64,   43,   96,   -36,  -74,  68,   -10,  6,    -32,  96,   40,   -61,  122,
11     -101, 115, 104, -100, 87,   -58,  -34,  115,  4,    -108, 68,   29,   13,   -124, -40,  -120, -64,  125,  -29,
12     -101, 66,  -27, 49,   86,   -101, 28,   48,   -58,  -76,  -16,  -20,  -24,  26,   -88,  -27,  64,   -29,  -78,
13     -117, -37, -15, 52,   117,  69,   73,   -90,  -41,  -82,  -33,  -70,  53,   -39,  -104, 61,   -89,  -33,  99,
14     100,  -68, 103, -70,  -81,  -49,  -33,  32,   -117, -58,  -45,  -119, -120, -119, -113, 46,   81,   85,   -74,
15     72,   53,  29,  -48,  43,   -89,  125,  -115, -83,  -79,  102,  -114, -64,  20,   -119, -22,  -36,  107,  24,
16     -22,  68,  104, -38,  -36,  46,   92,   -5,   126,  -88,  -8,   5,    -33,  80,   38,   122,  79,   120,  -31,
17     -63,  -59, 61,  86,   -120, 78,   -33,  4,    114,  14,   88,   -6,   -55,  34,   -106, -22,  -50,  72,   118,
18     -48,  -64, 0,   82,   -60,  40,   -122, -74,  -75,  111,  98,   106,  21,   5,    -22,  -31,  -53,  0,    -80,
19     35,   48,  85,  -86,  97,   41,   31,   13,   64,   -91,  94,   5,    -81,  74,   77,   -67,  10,   67,   37,
20     12,   5,   -64, -61,  -126, -29,  -15,  33,   -116, -107, -3,   -101, -94,  -103, -121, 33,   -15,  -98,  27,
21     -69,  -6,  35,  55,   -4,   -74,  -38,  -19,  83,   -22,  -70,  -16,  28,   117,  21,   -77,  97,   38,   28,
22     -6,   20,  -90, -88,  88,   -2,   45,   77,   113,  -103, -3,   48,   70,   109,  -21,  -17,  -118, -25,  71,
23     -7,   47,  -15, -120, -82,  52,   -88,  -61,  -34,  92,   -125, 38,   -98,  -88,  -128, 25,   -116, 101,  -79,
24     108,  -94, 40,  29,   -11,  -14,  62,   74,   7,    -116, -90,  -71,  89,   -59,  -77,  17,   -31,  13,   4,
25     85,   41,  -52, -99,  -123, 114,  100,  -23,  94,   -35,  93,   -108, -32,  82,   -25,  -52,  28,   -28,  25,
26     46,   -4,  83,  -96,  -109, 95,   124,  60,   -14,  63,   39,   -82,  28,   -45,  47,   117,  52,   110,  -109,
27     -16,  -10, -94, -64,  -15,  -111, 106,  -111, 5,    -106, -28,  7,    -101, -12,  -47,  -28,  -67,  -73,  -64,
28     -84,  -83, 14,  9,    92,   -109, 96,   -9,   98,   -72,  60,   -124, 37,   122,  -108, -113, 20,   -85,  90,
29     35,   2,   -20, 110,  -13,  -47,  72,   93,   1,    14,   38,   -29,  -8,   -20,  58,   -125, 119,  -24,  -73,
30     62,   37,  -90, -61,  24,   -42,  -53,  46,   123,  78,   -68,  -17,  -90,  -104, 98,   9,    -92,  -15,  -27,
31     -62,  117, 74,  -1,   55,   -100, 80,   -85,  -109, 118,  -21,  -37,  69,   35,   -68,  -51,  111,  -90,  -104,
32     96,   49,  -38, 97,   26,   67,   71,   92,   99,   -46,  -126, -124, 88,   57,   46,   -50,  19,   31,   84,
33     55,   25,  -33, -53,  -86,  92,   -120, -103, -52,  -53,  -13,  76,   82,   37,   38,   -66,  100,  -106, 34,
34     93,   24,  49,  -48,  70,   27,   -127, 92,   -95,  17,   -49,  23,   -13,  10,   94,   -83,  113,  122,  53,
35     72,   72,  48,  -104, 44,   -115, -4,   107};
36