1 // Generated by generate_test_data.py using tensorflow version 2.10.0 (Keras version 2.10.0). 2 // Interpreter from tensorflow version 2.10.0 and revision v2.10.0-rc3-6-g359c3cdfc5f. 3 #pragma once 4 #include <stdint.h> 5 6 const int8_t ds_cnn_l_layer_10_depthwise_conv_2d_weights[2484] = { 7 111, 127, -106, -95, -127, 6, 64, 127, -127, 10, 110, 82, 127, -127, 127, -122, 0, -121, 14, 8 -23, -53, -71, -46, 17, -27, 96, 41, -127, 19, -101, 98, 42, 121, 63, -106, -127, -127, -124, 9 -95, 110, -46, 56, -68, 127, 79, -127, -1, 127, 90, 88, -52, 58, 56, -110, 73, -127, -115, 10 127, 57, -127, 127, 83, -127, 56, 20, 86, 83, 97, 45, 31, 127, 81, -88, 127, 71, 127, 11 -67, 22, 87, -109, 127, -80, 102, -102, 121, -127, -44, -2, 44, 6, 91, 30, -108, 13, 90, 12 -127, 77, 71, -32, 35, -108, 127, -98, 99, 70, 40, -8, -75, 58, 88, -58, 80, -89, 79, 13 -69, 57, 80, 117, 13, 98, 118, 88, -115, 89, 65, -14, -70, 100, 98, -112, -123, 77, 103, 14 103, 127, 67, -81, 90, 120, 73, -117, 63, 19, -97, 127, 94, 68, -50, 104, -68, -6, -9, 15 127, -100, 105, -41, 118, 77, -96, -89, 109, -101, 117, -110, -98, -19, 127, -102, -127, -127, -94, 16 -114, -107, 73, 47, 23, -41, -119, -1, 103, 74, 63, 50, 127, -44, 116, -63, 89, 94, 17, 17 -115, -127, 122, -88, -66, -94, -127, 120, -109, -127, -122, 81, 52, 127, -68, 76, -111, -74, 91, 18 -83, 127, -31, 127, -65, 127, 82, 41, -87, 96, 65, 127, 47, 120, -33, -127, -122, 109, 46, 19 95, -127, -127, 116, -17, 61, 127, -125, -127, 65, -84, -118, 127, -18, 106, 127, 92, -57, 127, 20 76, 124, 87, 105, 87, -103, -94, 127, -115, -127, 127, 100, 124, -127, -127, -122, 127, -111, 127, 21 105, 127, -127, -127, 77, 101, -61, 127, -127, -17, 127, 88, -96, -62, -90, -103, -8, 93, -82, 22 -53, 99, 70, 108, -61, 79, -127, -7, -46, 45, 60, -127, -127, -115, -102, 27, 18, -44, 2, 23 18, -79, 127, 7, 120, 63, -7, -103, -75, -96, -91, 85, -53, 84, -39, 89, 90, -61, -11, 24 -76, 66, 92, -71, 75, 108, -101, 15, -30, -47, 113, 80, -41, 109, 115, -57, 52, 30, 28, 25 127, 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