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_height_int8_output[272] = { 7 -16, 69, -83, 29, -46, 25, 75, -115, -30, -111, -77, -38, -75, -125, 25, -120, -33, -63, -103, 8 -4, -66, -7, -39, -3, -51, -45, -86, 38, 71, -118, 55, -98, -18, -66, 59, 95, 65, 29, 9 -106, -46, 25, 82, 63, -111, 50, -38, -75, -125, 32, -120, -103, -30, -103, -32, -66, -7, -50, 10 -3, -36, -45, -61, 11, 87, -118, -58, -98, -18, 26, 54, 105, -57, 23, -46, -24, 54, -125, 11 -115, -111, -79, -38, -75, -125, 61, -120, -33, -115, -103, -48, -66, -7, -39, -21, -50, -45, 44, 12 38, 8, -118, 0, -102, -9, 110, -75, 67, -50, -6, -88, 23, -43, 78, 120, -111, -16, -109, 13 -122, -125, 28, -120, -33, -91, -103, -4, -66, -30, -114, -8, -76, -45, 44, 38, -34, -123, -50, 14 -98, -9, 61, 90, -31, -73, 62, -74, -32, -105, -102, 61, -103, 4, -70, 58, -50, -29, -113, 15 35, 30, -12, -91, -92, -126, -70, -119, -44, -61, 49, -126, -125, 43, -94, -97, -70, -103, 68, 16 -1, 25, 62, -74, 99, -13, -102, -56, -103, -5, -70, -91, -79, -69, 0, 80, 16, -43, -102, 17 -24, -84, -70, -119, -127, -61, -85, -38, -125, -119, 60, -15, -70, -103, -38, 19, -93, 45, -74, 18 88, 96, -102, 45, -103, 25, -93, 60, -50, -29, -90, 41, -69, -110, -91, -122, -96, -70, -119, 19 -22, -61, 18, 34, -125, 16, -126, -51, -70, -103, -43, 109, 25, 62, -74, -119, 42, -102, -29, 20 -103, -81, -85, -61, -127, -29, -93, 53, 39, -1, -91, -72, -84, -70, -119, -22, -100, 69, 14, 21 -125, 43, 60, -32, -70, -103}; 22 23 const int8_t *const minimum_broadcast_height_int8_output_ref = minimum_broadcast_height_int8_output; 24
