1 // Generated by test_settings.py using tensorflow version 2.18.0 (Keras version 3.6.0). 2 // Interpreter from tensorflow version 2.18.0 and revision v2.18.0-rc2-4-g6550e4bd802. 3 #pragma once 4 #include <stdint.h> 5 6 const int8_t transpose_conv_2_weights[540] = { 7 -119, 91, -123, 121, -74, -92, -47, -13, -111, 8, 30, -33, 29, -55, 83, -112, 94, -65, 107, 8 -93, 20, -50, 42, -58, -118, 12, -1, 122, -124, -25, -42, -29, 94, -16, 108, 109, 18, 80, 9 -68, 6, 38, 11, 22, -127, 57, -127, 49, 8, -13, -85, -13, 29, 95, -106, 112, 98, -41, 10 73, 52, -123, 12, -90, 51, -112, -103, -64, 4, 121, -115, 19, 6, 48, -73, -37, -127, -16, 11 23, 97, 76, -114, 84, -103, -1, -43, 109, 91, 59, 57, -82, -21, 34, -72, -46, -51, 100, 12 -50, -50, 86, -65, 62, 65, 37, -83, -35, -61, -93, 5, 121, 47, -57, -98, -33, 55, -126, 13 -81, -14, 39, 108, -51, 37, -126, 78, 36, 103, -16, -39, 75, 92, 114, -116, 5, -8, 15, 14 -118, 119, 7, -24, 127, 62, 33, 83, -10, -31, 94, -7, 58, 5, 1, -119, -19, -18, -71, 15 117, -127, -52, -61, 31, -114, 92, 114, 79, -100, 102, 110, 84, -49, 46, 86, 27, -25, 66, 16 -9, -110, -34, 103, 83, -59, 90, 121, -102, 92, 42, -104, -73, -108, -68, -57, -113, 66, 96, 17 32, -29, -8, -117, -16, 125, -108, 34, -126, -36, -116, -50, -101, 122, 99, -102, 51, -76, 9, 18 64, 110, -50, -44, -15, 109, 45, 54, 75, -116, 117, 50, -23, 35, -39, -65, 34, -117, -61, 19 -59, 125, -62, 88, 80, -75, -110, -104, 74, 76, -53, 54, 66, -63, 124, -60, -126, -89, 7, 20 -83, -108, -121, -30, 46, -117, -51, -75, -18, -105, 116, -12, -99, -100, 109, 16, 5, -94, -99, 21 -123, 100, -79, 33, -41, -127, -90, -60, -71, -52, -5, -30, -109, -16, -14, 33, -52, -10, 66, 22 89, -7, -1, -90, -7, -103, -125, -110, -16, 89, 48, -115, -64, -43, -43, -118, -105, -107, 43, 23 4, -103, -24, -58, -6, -69, 1, 47, 76, -76, 98, 51, 43, -88, 126, 43, -122, 119, -42, 24 4, 31, -81, 117, 98, 16, 25, 5, -93, 53, -73, 115, 111, -80, -24, 48, -4, -59, 47, 25 -34, -55, 44, -118, 42, -68, -31, 106, -30, 104, -108, -73, 99, 71, -110, -98, -83, -26, -91, 26 -78, 17, 61, -68, 11, 97, -47, 66, 48, 98, 110, 98, -10, 15, -122, 124, -44, 75, -124, 27 99, -29, -98, 82, -51, -41, -65, 87, -105, 67, 53, 100, 119, 45, 110, -48, 77, -121, 61, 28 -85, 109, -41, 80, 73, 105, 70, -48, -53, -77, -71, 74, -90, -100, 34, 85, -41, -125, 121, 29 -57, 125, 74, 69, -91, 126, -98, -22, 11, 41, -99, 102, 58, -24, 91, 98, -94, 108, -127, 30 -61, 62, -61, -14, -76, 31, 43, -28, 3, 108, -68, 57, 47, -121, 13, -15, 124, 97, 70, 31 -5, -77, -59, -17, -89, -65, 53, 96, -37, 27, 39, 104, 93, 116, -113, 79, -88, 50, 6, 32 52, -68, 80, 6, -49, 46, 58, -82, 113, -67, -110, 33, -54, 10, 39, 127, -40, 31, -108, 33 93, -93, -32, 123, -77, 92, 10, 47, -21, -93, 123, 109, -120, 39, -109, -62, 119, 63, 120, 34 -63, -36, 30, -89, 107, -46, -95, -24, -23, -69, 125, 26, 34, -81, 51, -105, -46, 61, 60, 35 36, 113, -55, -77, -22, 37, -53, 49}; 36
