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_layer_12_fully_connected_weights[768] = { 7 -127, -91, -104, -98, 62, 77, -73, -12, -97, -87, -64, -65, -60, -93, -30, -3, -29, -99, -86, 50, -26, 8 1, 60, -93, 25, -77, -58, -66, -98, -36, -51, -86, -37, -94, -57, -62, -104, -108, 63, 82, -111, 39, 9 -99, -113, -101, -34, -124, 70, -118, 59, 59, -107, 54, -72, -75, -95, 38, -9, -101, 51, -88, -65, -44, 10 -94, -28, -3, 44, -36, 24, -29, -38, 16, -11, 45, 64, -19, -41, -11, 19, -7, 55, -54, 15, -26, 11 -24, -34, -13, -15, 4, 26, 80, 39, -4, 23, 47, 28, -1, -11, 23, 42, -58, 31, 3, 8, -42, 12 -5, -9, -20, 10, 56, -13, -22, -43, -56, 38, -27, -5, 33, -31, 40, 5, -35, 34, -38, -22, 27, 13 48, -16, 15, -22, -46, -23, -54, -12, -21, -16, 21, -29, 60, 78, -58, -27, -9, -27, -47, 38, 30, 14 22, 63, -20, 58, -54, 76, 40, 34, 58, -62, -32, -45, 58, -57, -21, -50, -45, -9, -44, -13, -10, 15 44, 9, -16, 34, -13, -42, 71, 61, 14, -66, -29, 26, 23, 16, -53, -40, -37, -67, -17, -51, -39, 16 -76, -34, -37, -37, 36, -36, -7, -14, -35, 57, -32, 7, -58, -7, -39, -1, 57, -55, -48, -55, 51, 17 46, 18, -58, -40, 37, -44, -39, 43, -36, -48, -82, -42, -63, 10, 13, -7, 52, -66, -32, 40, -28, 18 1, 49, 35, 31, 55, -5, -26, -28, -51, -37, 15, -4, -62, 37, -65, 45, 57, -10, 11, -20, -3, 19 32, 9, 47, 39, 56, -65, 12, 65, 54, -13, -53, 40, -58, 56, -27, -33, 5, -37, -35, -30, -15, 20 33, -63, -58, -50, 16, 29, -25, -51, -43, 57, -38, -13, -26, -57, -57, 46, 15, -25, -45, 35, -21, 21 11, -24, -31, -27, 69, -51, 14, -49, 49, -45, 41, 14, -29, 18, 51, 2, -8, -32, 47, 10, -38, 22 -8, -56, -2, -72, -11, -28, -46, 12, -49, -14, -12, 3, 38, -60, -30, -41, -50, 47, -24, 38, -30, 23 -43, -30, 45, 7, 51, -18, 3, 5, -27, -33, -4, 40, -38, 46, 49, -68, -29, 57, 34, 16, -35, 24 18, 33, -13, 47, 29, -14, -37, -21, -4, -9, 32, -58, 59, -41, 37, -65, -65, 52, 11, -53, -59, 25 -33, -57, 49, 39, 45, 41, -6, -14, -35, 54, -13, -26, -18, 45, 65, 28, 19, 4, 16, -41, 49, 26 63, -23, 24, 5, -48, -10, -52, 17, -53, 23, 30, -58, -23, 29, -22, -83, 57, -8, 63, -45, -46, 27 -29, -38, -26, -23, -51, 33, -48, 16, -12, 19, 2, -24, -55, -48, -26, 63, -17, -48, 36, 27, 51, 28 -56, 56, 40, -69, -79, -60, -65, -68, 75, 27, 52, -3, -27, 50, -61, -1, 30, -50, 30, 42, -48, 29 -67, 39, 37, -69, -34, 87, -40, -9, -11, 4, -49, 40, -11, 33, 65, -27, 27, 26, -61, -49, -67, 30 -39, -10, -43, 41, -19, -57, -65, -76, -4, 65, 69, -62, -37, -18, -14, -38, 21, -18, 24, -35, 61, 31 27, -81, -16, 30, -10, -29, -31, -18, 24, -85, 62, -3, -31, 21, -63, -66, -54, 18, 42, -25, 70, 32 53, -30, -28, 51, 4, -62, -60, 46, -34, -50, 61, -29, 14, -5, -55, 48, -54, 68, -7, 13, -7, 33 -13, 11, 63, -72, 38, -19, 49, 47, -26, -77, -25, -54, -42, 28, -19, 8, -20, -62, -1, 61, -53, 34 -48, -20, 10, -42, -60, -11, 48, 15, -47, 62, -25, -11, -45, -17, 26, -60, -57, -17, 44, -67, -29, 35 11, 14, 71, 41, 39, 69, -43, -29, -47, -12, -16, 5, 45, -76, -66, -58, 8, -14, -35, -41, 30, 36 -72, -43, 26, 35, -2, -38, -26, 34, -22, 48, -7, -17, -20, -17, -29, 56, -3, 32, 19, -37, 55, 37 27, -57, 24, 41, 8, -34, -44, -1, -75, -63, -44, 5, -76, 12, -47, -43, -40, 50, -66, -64, -36, 38 -40, -48, -36, -25, -17, -18, -30, -53, 37, -55, -28, -51, -2, -19, -36, 9, -30, 39, 53, 9, -68, 39 57, -26, -29, 35, 21, 24, -34, 33, -79, -21, 40, -42, 75, -54, 76, -25, 40, -26, 14, 60, 14, 40 -60, 66, -72, -47, 2, 68, 55, 45, 38, 44, -24, -25, 3, 6, -17, 41, -6, 26, -5, 26, -46, 41 -4, -30, 28, 44, -53, -59, -72, -36, -29, -38, -19, 76, -16, -53, -5, -53, -35, 19, 31, 64, -23, 42 -20, -49, -33, 18, 25, -26, 59, 20, -34, 18, -74, -38, 3, -32, 58, -25, -38, 44, 23, 33, -22, 43 3, -10, -10, 36, -6, 31, -55, 21, 40, 42, -38, 62}; 44
