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_input_tensor[540] = { 7 42, -1, 113, -123, 21, 83, 96, 4, 66, -40, 12, -127, -50, -24, 43, -101, 13, -101, 93, 8 -34, -79, -60, -7, 68, 87, -64, -76, -33, 14, -105, 95, -86, -56, 40, -108, -27, -81, 92, 9 108, 43, -86, 96, 115, -124, 28, -46, -15, 67, -127, 25, -10, -58, 125, -16, -24, 53, 95, 10 48, 121, 124, -61, 68, 49, -37, 15, -91, 56, 48, -36, 104, -40, 48, -56, -75, -83, 34, 11 -84, 6, -34, -29, -20, -6, -18, 24, 125, 121, 64, 122, 29, 86, 86, 38, 111, -85, 16, 12 -74, -100, -120, -58, 79, -85, -1, -86, 57, -32, 115, -101, -24, 26, 73, 99, -119, 43, -36, 13 -88, 61, -106, -29, -33, -70, 46, -83, 68, 80, -33, 118, -15, -104, 32, 72, -64, 46, 120, 14 88, 82, -88, -90, 100, -120, -89, 107, -8, 86, -22, -78, -70, -81, 81, -79, 104, 38, 4, 15 -48, 52, 61, -117, 53, 20, 92, -31, -6, -60, -27, -41, -68, -119, 125, 24, 5, -120, -50, 16 -117, 53, -49, 85, 102, -38, 122, 114, -64, 117, -89, -58, 29, -119, -5, -63, -55, 40, 64, 17 -82, 103, -113, -115, -22, -33, 78, 72, -37, -39, -33, -74, -114, -36, 79, 14, 0, 69, -33, 18 -45, -48, -22, 126, -59, 34, -122, -74, 35, -81, -29, -98, -70, -88, -17, -34, 106, 97, 10, 19 -107, 35, 21, 77, -7, -98, -31, 64, 5, -103, -38, 28, 48, -82, -116, -75, 48, 74, -15, 20 27, -16, 88, -118, 92, 21, 41, 67, -3, 55, -77, 113, 47, -88, -53, -91, -64, -121, -19, 21 -6, 70, 52, 101, 111, 85, 77, 33, -69, 28, -2, -25, -125, 5, 31, 37, -101, -4, 97, 22 -103, -15, -128, 0, 94, -61, 33, 83, 20, 109, -88, -79, 98, -86, -67, -116, -6, 117, 45, 23 71, 38, -22, 13, 12, -94, -74, 38, -3, -120, 25, -80, 5, -126, -15, -22, -90, -21, -61, 24 108, -94, -59, 100, 25, -82, -15, -67, -72, -20, -14, 13, 93, -96, 117, 5, -83, 122, 72, 25 -116, -52, -25, 60, -16, -101, -109, -85, 38, 40, -77, -23, 46, 28, -111, -73, 60, 110, 62, 26 4, -108, -109, 52, -106, 14, -108, 93, -90, -99, -52, -14, -10, -12, 96, 90, -29, 29, 17, 27 94, -4, -45, 106, -64, -124, -13, 74, 85, -32, 95, 110, -28, 9, -113, 1, -71, -123, 28, 28 63, -94, -47, -9, 35, -8, -11, -31, -35, 83, 47, -111, -84, 37, -47, 7, 41, 82, 124, 29 -109, 7, 92, 20, 14, 89, 114, -28, 39, -64, -28, 98, 2, -20, 58, 46, -62, 69, 67, 30 31, -13, -48, -83, -73, -17, 55, 111, -46, -33, 38, 92, 72, -61, 9, -109, 49, 57, -120, 31 34, 23, 44, -125, 123, 117, 35, 71, 84, 76, 70, 113, 62, -90, -100, -90, -126, -53, -66, 32 -95, 72, 24, -92, 118, -38, 46, -103, 93, -13, -115, 119, 78, 74, -68, 92, 55, 82, 27, 33 122, 37, -104, 80, -104, -124, -86, 100, 17, 48, -42, -15, -21, 97, -50, -52, 24, 10, -4, 34 -24, -68, -1, -51, 99, 25, 37, -127, 53, -90, 98, -85, 96, 88, 92, -106, -49, -104, -53, 35 -27, -37, 26, 19, -53, 49, 94, 107}; 36
