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 minimum_broadcast_batch_int8_output[252] = { 7 -74, -49, 17, -2, -84, -51, -47, -78, 44, 12, 49, -123, -127, 40, 62, -99, -83, -99, 8 -111, -61, 29, -76, -84, -67, -62, -33, -60, -101, 13, -67, 8, -95, -125, -98, 4, -37, 9 -32, -76, -68, -126, -80, -19, -75, -53, -64, -29, -94, -80, -67, -49, 50, -85, 56, -20, 10 -65, -83, 51, -119, -24, -52, 43, -53, -54, 1, -88, -106, -10, -84, -59, 77, -50, 8, 11 -11, -108, -125, -76, -94, 82, -34, -89, -23, -12, -70, 29, 77, -93, -27, -23, -99, -70, 12 -60, 3, 54, -37, -90, -97, -1, -119, -46, -113, -122, -28, -125, -48, 12, -123, -98, -39, 13 43, -53, -49, 53, -33, -116, 57, -36, 67, 83, -67, -49, 58, -73, -56, -28, 9, -87, 14 -109, -50, -28, 47, -84, 51, -77, -92, 40, 12, -87, -99, -127, -63, -8, -122, -83, -125, 15 -111, -9, -24, -76, 50, -67, -23, -110, -60, 31, -93, 13, 49, -75, -125, 14, -102, -37, 16 51, 77, -68, -126, -83, -59, 31, -17, -64, -44, -102, -80, -67, -49, 33, -85, 26, -62, 17 -103, 14, -96, -120, -24, -52, -5, -53, -54, 1, -6, -52, -10, -67, -109, 9, -4, -111, 18 -11, -108, -125, -13, -94, -81, -34, -116, 11, -12, -70, -41, 53, -75, -27, 83, -99, -70, 19 -126, 40, -33, 10, -90, -97, 24, -119, -63, -64, -128, 35, -2, -28, 50, -82, 43, -115, 20 -70, -118, 92, 14, -33, -116, -10, -67, -86, 31, -67, -48, -98, -73, -56, -114, -117, 66}; 21 22 const int8_t *const minimum_broadcast_batch_int8_output_ref = minimum_broadcast_batch_int8_output; 23
