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 maximum_broadcast_batch_int8_output[252] = { 7 58, 99, 110, 112, -66, 106, 72, 7, -4, 82, 73, 63, 37, 115, 90, 113, 45, -106, 10, 126, -22, 107, 52, 8 -53, -90, 96, 42, 124, 91, 68, 52, 122, 73, -27, 2, -24, 4, 122, 86, 31, 90, -14, 5, 91, 14, 112, 9 -5, 95, -45, 55, 48, 42, 95, 77, 87, 64, 83, 23, 102, 81, -24, -9, -78, -35, 51, -30, -91, 11, 123, 10 -66, -57, 32, -87, 115, -61, 31, 112, 42, 11, -74, 13, 41, 114, 37, 1, 100, -25, -2, 73, 127, -98, 61, 11 63, 115, 92, 53, 34, 66, 15, 80, 102, 104, 86, 103, 119, 41, 54, 96, 31, -83, 121, 26, 40, 15, 73, 12 18, 51, 27, 14, -23, 88, 92, 72, -119, 24, 0, 58, 31, 110, 113, -66, -86, -5, -19, -4, 89, 22, 27, 13 109, 26, 29, 63, 93, 69, 19, 104, -88, 107, 42, 105, -56, 99, 42, 124, 67, 68, 118, 123, 80, -27, 115, 14 117, 4, 122, 86, 23, 90, -14, 5, 127, 46, 66, -54, 78, 63, 55, 84, 42, -41, 26, 120, 64, 8, 118, 15 -38, 81, -24, 55, 47, -75, 32, 83, -69, 86, -40, 31, -54, -42, 51, 108, -27, 31, 112, -64, -54, 10, 114, 16 55, -18, 75, 1, 106, -25, -13, 73, 127, 2, 108, 63, -29, 92, 75, 31, 24, -9, 75, -93, 126, 86, -32, 17 120, 127, -16, 96, -53, 68, 121, 59, -57, 104, -49, 18, 51, 27, 101, -43, 88, 92, -36, 21, 90, 0}; 18 19 const int8_t *const maximum_broadcast_batch_int8_output_ref = maximum_broadcast_batch_int8_output; 20
