/* ---------------------------------------------------------------------- * Copyright (C) 2010-2018 Arm Limited. All rights reserved. * * * Project: CMSIS NN Library * Title: arm_nnexamples_nn_test.cpp * * Description: Example code for NN kernel testing. * * Target Processor: Cortex-M cores * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions * are met: * - Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * - Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in * the documentation and/or other materials provided with the * distribution. * - Neither the name of ARM LIMITED nor the names of its contributors * may be used to endorse or promote products derived from this * software without specific prior written permission. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS * FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE * COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, * INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN * ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE * POSSIBILITY OF SUCH DAMAGE. * -------------------------------------------------------------------- */ #include "arm_nnexamples_nn_test.h" //#define TEST_SIGMOID //#define TEST_TANH #define TEST_POOL #define TEST_RELU #define TEST_IP #define TEST_CONV #define TEST_NONSQUARE #define TEST_NNMULT int test_index = 0; q7_t test_flags[50]; bool test_pass; int main() { printf("start tests\n"); srand(1); // common pointers for testing data q7_t *test1; q15_t *test2; q7_t *test3; q15_t *test4; for (test_index = 0; test_index<50; test_index++) { test_flags[test_index] = -1; } test_index = 0; #ifdef TEST_NNMULT #define NNMULT_DIM 128 test1 = new q7_t[NNMULT_DIM*2]; test2 = new q15_t[NNMULT_DIM*2]; test3 = new q7_t[NNMULT_DIM*2]; test4 = new q15_t[NNMULT_DIM*2]; q7_t * mult_out_q7 = test3; q7_t * mult_ref_q7 = test3 + NNMULT_DIM; q15_t * mult_out_q15 = test4; q15_t * mult_ref_q15 = test4 + NNMULT_DIM; for (int i=0;i= 2 || pool_out_opt[i] - pool_out_ref[i] >= 2) { printf("Output mismatch at %d, expected %d, actual %d\n", i, pool_out_ref[i], pool_out_opt[i]); if_ave_pool_match = false; } } if (if_ave_pool_match == true) { printf("Outputs match.\n"); } delete[]test1; delete[]test2; delete[]test3; #endif #ifdef TEST_RELU #define RELU_DIM 127 test1 = new q7_t[RELU_DIM]; test2 = new q15_t[RELU_DIM]; test3 = new q7_t[RELU_DIM]; test4 = new q15_t[RELU_DIM]; for (int i = 0; i < RELU_DIM; i++) { test1[i] = (rand() % 256 - 128); test2[i] = (rand() % 65536 - 32768); test3[i] = test1[i]; test4[i] = test2[i]; } q7_t *relu_ref_data_q7 = test1; q7_t *relu_opt_data_q7 = test3; q15_t *relu_ref_data_q15 = test2; q15_t *relu_opt_data_q15 = test4; printf("Start ref relu q7 implementation\n"); arm_relu_q7_ref(relu_ref_data_q7, RELU_DIM); printf("Start opt relu q7 implementation\n"); arm_relu_q7(relu_opt_data_q7, RELU_DIM); verify_results_q7(relu_ref_data_q7, relu_opt_data_q7, RELU_DIM); printf("Start ref relu q15 implementation\n"); arm_relu_q15_ref(relu_ref_data_q15, RELU_DIM); printf("Start opt relu q15 implementation\n"); arm_relu_q15(relu_opt_data_q15, RELU_DIM); verify_results_q15(relu_ref_data_q15, relu_opt_data_q15, RELU_DIM); delete[]test1; delete[]test2; delete[]test3; delete[]test4; #endif #ifdef TEST_IP #define IP_ROW_DIM 127 #define IP_COL_DIM 127 q7_t ip_weights[IP_ROW_DIM * IP_COL_DIM] = IP2_WEIGHT; q7_t ip_q7_opt_weights[IP_ROW_DIM * IP_COL_DIM] = IP4_WEIGHT; q7_t ip_q7_q15_opt_weights[IP_ROW_DIM * IP_COL_DIM] = IP4_q7_q15_WEIGHT; q15_t ip_q15_weights[IP_ROW_DIM * IP_COL_DIM] = IP2_WEIGHT; q15_t ip_q15_opt_weights[IP_ROW_DIM * IP_COL_DIM] = IP4_WEIGHT_Q15; test1 = new q7_t[IP_COL_DIM + IP_ROW_DIM]; test2 = new q15_t[IP_COL_DIM]; test3 = new q7_t[IP_ROW_DIM * 3]; test4 = new q15_t[IP_COL_DIM + IP_ROW_DIM * 2]; for (int i = 0; i < IP_ROW_DIM + IP_COL_DIM; i++) { test1[i] = rand() % 256 - 100; } for (int i = 0; i < IP_ROW_DIM * 3; i++) { test3[i] = 0; } q7_t *ip_bias_q7 = test1 + IP_COL_DIM; q7_t *ip_out_q7_ref = test3; q7_t *ip_out_q7_opt = test3 + IP_ROW_DIM; q7_t *ip_out_q7_opt_fast = test3 + 2 * IP_ROW_DIM; q15_t *ip_out_q15_ref = test4 + IP_COL_DIM; q15_t *ip_out_q15_opt = test4 + IP_COL_DIM + IP_ROW_DIM; initialize_results_q7(ip_out_q7_ref, ip_out_q7_opt, IP_ROW_DIM); initialize_results_q7(ip_out_q7_ref, ip_out_q7_opt_fast, IP_ROW_DIM); initialize_results_q7(ip_out_q7_ref, ip_out_q7_opt_fast, IP_ROW_DIM); printf("Start ref q7 implementation\n"); arm_fully_connected_q7_ref(test1, ip_weights, IP_COL_DIM, IP_ROW_DIM, 1, 7, ip_bias_q7, ip_out_q7_ref, test2); printf("Start q7 implementation\n"); arm_fully_connected_q7(test1, ip_weights, IP_COL_DIM, IP_ROW_DIM, 1, 7, ip_bias_q7, ip_out_q7_opt, test2); verify_results_q7(ip_out_q7_ref, ip_out_q7_opt, IP_ROW_DIM); printf("Start q7 ref opt implementation\n"); arm_fully_connected_q7_opt_ref(test1, ip_q7_opt_weights, IP_COL_DIM, IP_ROW_DIM, 1, 7, ip_bias_q7, ip_out_q7_opt_fast, test2); verify_results_q7(ip_out_q7_ref, ip_out_q7_opt_fast, IP_ROW_DIM); printf("Start q7 opt implementation\n"); arm_fully_connected_q7_opt(test1, ip_q7_opt_weights, IP_COL_DIM, IP_ROW_DIM, 1, 7, ip_bias_q7, ip_out_q7_opt_fast, test2); verify_results_q7(ip_out_q7_ref, ip_out_q7_opt_fast, IP_ROW_DIM); for (int i = 0; i < IP_ROW_DIM + IP_COL_DIM; i++) { test4[i] = (rand() % 65536 - 32768); } initialize_results_q15(ip_out_q15_ref, ip_out_q15_opt, IP_ROW_DIM); printf("Start ref q15 implementation\n"); arm_fully_connected_q15_ref(test4, ip_q15_weights, IP_COL_DIM, IP_ROW_DIM, 1, 7, test2, ip_out_q15_ref, NULL); printf("Start q15 implementation\n"); arm_fully_connected_q15(test4, ip_q15_weights, IP_COL_DIM, IP_ROW_DIM, 1, 7, test2, ip_out_q15_opt, NULL); verify_results_q15(ip_out_q15_ref, ip_out_q15_opt, IP_ROW_DIM); printf("Start ref opt q15 implementation\n"); arm_fully_connected_q15_opt_ref(test4, ip_q15_opt_weights, IP_COL_DIM, IP_ROW_DIM, 1, 7, test2, ip_out_q15_opt, NULL); verify_results_q15(ip_out_q15_ref, ip_out_q15_opt, IP_ROW_DIM); printf("Start opt q15 implementation\n"); arm_fully_connected_q15_opt(test4, ip_q15_opt_weights, IP_COL_DIM, IP_ROW_DIM, 1, 7, test2, ip_out_q15_opt, NULL); verify_results_q15(ip_out_q15_ref, ip_out_q15_opt, IP_ROW_DIM); initialize_results_q15(ip_out_q15_ref, ip_out_q15_opt, IP_ROW_DIM); printf("Start ref q7_q15 implementation\n"); arm_fully_connected_mat_q7_vec_q15_ref(test4, ip_weights, IP_COL_DIM, IP_ROW_DIM, 1, 7, ip_bias_q7, ip_out_q15_ref, test2); printf("Start q7_q15 implementation\n"); arm_fully_connected_mat_q7_vec_q15(test4, ip_weights, IP_COL_DIM, IP_ROW_DIM, 1, 7, ip_bias_q7, ip_out_q15_opt, test2); verify_results_q15(ip_out_q15_ref, ip_out_q15_opt, IP_ROW_DIM); printf("Start ref opt q7_q15 implementation\n"); arm_fully_connected_mat_q7_vec_q15_opt_ref(test4, ip_q7_q15_opt_weights, IP_COL_DIM, IP_ROW_DIM, 1, 7, ip_bias_q7, ip_out_q15_opt, test2); verify_results_q15(ip_out_q15_ref, ip_out_q15_opt, IP_ROW_DIM); printf("Start opt q7_q15 implementation\n"); arm_fully_connected_mat_q7_vec_q15_opt(test4, ip_q7_q15_opt_weights, IP_COL_DIM, IP_ROW_DIM, 1, 7, ip_bias_q7, ip_out_q15_opt, test2); verify_results_q15(ip_out_q15_ref, ip_out_q15_opt, IP_ROW_DIM); delete[]test1; delete[]test2; delete[]test3; delete[]test4; #endif #ifdef TEST_NONSQUARE /* Use RCONV to differential with square CONV */ #define RCONV_IM_DIM_X 10 #define RCONV_IM_DIM_Y 8 #define RCONV_IM_CH 4 #define RCONV_KER_DIM_X 5 #define RCONV_KER_DIM_Y 3 #define RCONV_STRIDE_X 1 #define RCONV_STRIDE_Y 1 #define RCONV_PADDING_X 2 #define RCONV_PADDING_Y 1 #define RCONV_OUT_CH 4 #define RCONV_OUT_DIM_X 10 #define RCONV_OUT_DIM_Y 8 test1 = new q7_t[RCONV_KER_DIM_Y * RCONV_KER_DIM_X * RCONV_IM_CH * RCONV_OUT_CH + RCONV_OUT_CH]; test2 = new q15_t[2 * RCONV_KER_DIM_Y * RCONV_KER_DIM_X * RCONV_IM_CH]; test3 = new q7_t[RCONV_IM_DIM_Y * RCONV_IM_DIM_X * RCONV_IM_CH + 2 * RCONV_OUT_DIM_Y * RCONV_OUT_DIM_X * RCONV_OUT_CH]; for (int i = 0; i < RCONV_KER_DIM_Y * RCONV_KER_DIM_X * RCONV_IM_CH * RCONV_OUT_CH + RCONV_OUT_CH; i++) { test1[i] = rand() % 256 - 100; } for (int i = 0; i < RCONV_IM_DIM_Y * RCONV_IM_DIM_X * RCONV_IM_CH + 2 * RCONV_OUT_DIM_Y * RCONV_OUT_DIM_X * RCONV_OUT_CH; i++) { test3[i] = rand() % 256 - 100; } q7_t *rconv_weight_q7 = test1; q7_t *rconv_bias_q7 = test1 + RCONV_KER_DIM_Y * RCONV_KER_DIM_X * RCONV_IM_CH * RCONV_OUT_CH; q15_t *rconv_buf = test2; q7_t *rconv_im_in_q7 = test3; q7_t *rconv_im_out_ref_q7 = test3 + RCONV_IM_DIM_Y * RCONV_IM_DIM_X * RCONV_IM_CH; q7_t *rconv_im_out_opt_q7 = test3 + RCONV_IM_DIM_Y * RCONV_IM_DIM_X * RCONV_IM_CH + RCONV_OUT_DIM_Y * RCONV_OUT_DIM_X * RCONV_OUT_CH; initialize_results_q7(rconv_im_out_ref_q7, rconv_im_out_opt_q7, RCONV_OUT_DIM_Y * RCONV_OUT_DIM_X * RCONV_OUT_CH); printf("start conv q7 nonsquare ref implementation\n"); arm_convolve_HWC_q7_ref_nonsquare(rconv_im_in_q7, RCONV_IM_DIM_X, RCONV_IM_DIM_Y, RCONV_IM_CH, rconv_weight_q7, RCONV_OUT_CH, RCONV_KER_DIM_X, RCONV_KER_DIM_Y, RCONV_PADDING_X, RCONV_PADDING_Y, RCONV_STRIDE_X, RCONV_STRIDE_Y, rconv_bias_q7, 1, 7, rconv_im_out_ref_q7, RCONV_OUT_DIM_X, RCONV_OUT_DIM_Y, rconv_buf, NULL); printf("start conv q7 nonsquare opt implementation\n"); arm_convolve_HWC_q7_fast_nonsquare(rconv_im_in_q7, RCONV_IM_DIM_X, RCONV_IM_DIM_Y, RCONV_IM_CH, rconv_weight_q7, RCONV_OUT_CH, RCONV_KER_DIM_X, RCONV_KER_DIM_Y, RCONV_PADDING_X, RCONV_PADDING_Y, RCONV_STRIDE_X, RCONV_STRIDE_Y, rconv_bias_q7, 1, 7, rconv_im_out_opt_q7, RCONV_OUT_DIM_X, RCONV_OUT_DIM_Y, rconv_buf, NULL); verify_results_q7(rconv_im_out_ref_q7, rconv_im_out_opt_q7, RCONV_OUT_DIM_Y * RCONV_OUT_DIM_X * RCONV_OUT_CH); initialize_results_q7(rconv_im_out_ref_q7, rconv_im_out_opt_q7, RCONV_OUT_DIM_Y * RCONV_OUT_DIM_X * RCONV_OUT_CH); printf("start conv q7 nonsquare ref implementation\n"); arm_convolve_HWC_q7_ref_nonsquare(rconv_im_in_q7, RCONV_IM_DIM_X, RCONV_IM_DIM_Y, RCONV_IM_CH, rconv_weight_q7, RCONV_OUT_CH, RCONV_KER_DIM_X, RCONV_KER_DIM_Y, RCONV_PADDING_X, RCONV_PADDING_Y, RCONV_STRIDE_X, RCONV_STRIDE_Y, rconv_bias_q7, 1, 7, rconv_im_out_ref_q7, RCONV_OUT_DIM_X, RCONV_OUT_DIM_Y, rconv_buf, NULL); printf("start conv q7 nonsquare basic implementation\n"); arm_convolve_HWC_q7_basic_nonsquare(rconv_im_in_q7, RCONV_IM_DIM_X, RCONV_IM_DIM_Y, RCONV_IM_CH, rconv_weight_q7, RCONV_OUT_CH, RCONV_KER_DIM_X, RCONV_KER_DIM_Y, RCONV_PADDING_X, RCONV_PADDING_Y, RCONV_STRIDE_X, RCONV_STRIDE_Y, rconv_bias_q7, 1, 7, rconv_im_out_opt_q7, RCONV_OUT_DIM_X, RCONV_OUT_DIM_Y, rconv_buf, NULL); verify_results_q7(rconv_im_out_ref_q7, rconv_im_out_opt_q7, RCONV_OUT_DIM_Y * RCONV_OUT_DIM_X * RCONV_OUT_CH); initialize_results_q7(rconv_im_out_ref_q7, rconv_im_out_opt_q7, RCONV_OUT_DIM_Y * RCONV_OUT_DIM_X * RCONV_OUT_CH); printf("start 1x1 conv q7 nonsquare fast implementation\n"); arm_convolve_HWC_q7_fast_nonsquare(rconv_im_in_q7, RCONV_IM_DIM_X, RCONV_IM_DIM_Y, RCONV_IM_CH, rconv_weight_q7, RCONV_OUT_CH, 1, 1, 0, 0, RCONV_STRIDE_X, RCONV_STRIDE_Y, rconv_bias_q7, 1, 7, rconv_im_out_ref_q7, RCONV_OUT_DIM_X, RCONV_OUT_DIM_Y, rconv_buf, NULL); printf("start 1x1 conv q7 nonsquare dedicated function implementation\n"); arm_convolve_1x1_HWC_q7_fast_nonsquare(rconv_im_in_q7, RCONV_IM_DIM_X, RCONV_IM_DIM_Y, RCONV_IM_CH, rconv_weight_q7, RCONV_OUT_CH, 1, 1, 0, 0, RCONV_STRIDE_X, RCONV_STRIDE_Y, rconv_bias_q7, 1, 7, rconv_im_out_opt_q7, RCONV_OUT_DIM_X, RCONV_OUT_DIM_Y, rconv_buf, NULL); verify_results_q7(rconv_im_out_ref_q7, rconv_im_out_opt_q7, RCONV_OUT_DIM_Y * RCONV_OUT_DIM_X * RCONV_OUT_CH); printf("start depthwise separable conv q7 nonsquare ref implementation\n"); arm_depthwise_separable_conv_HWC_q7_ref_nonsquare(rconv_im_in_q7, RCONV_IM_DIM_X, RCONV_IM_DIM_Y, RCONV_IM_CH, rconv_weight_q7, RCONV_OUT_CH, RCONV_KER_DIM_X, RCONV_KER_DIM_Y, RCONV_PADDING_X, RCONV_PADDING_Y, RCONV_STRIDE_X, RCONV_STRIDE_Y, rconv_bias_q7, 1, 7, rconv_im_out_ref_q7, RCONV_OUT_DIM_X, RCONV_OUT_DIM_Y, rconv_buf, NULL); printf("start depthwise separable conv q7 nonsquare opt implementation\n"); arm_depthwise_separable_conv_HWC_q7_nonsquare(rconv_im_in_q7, RCONV_IM_DIM_X, RCONV_IM_DIM_Y, RCONV_IM_CH, rconv_weight_q7, RCONV_OUT_CH, RCONV_KER_DIM_X, RCONV_KER_DIM_Y, RCONV_PADDING_X, RCONV_PADDING_Y, RCONV_STRIDE_X, RCONV_STRIDE_Y, rconv_bias_q7, 1, 7, rconv_im_out_opt_q7, RCONV_OUT_DIM_X, RCONV_OUT_DIM_Y, rconv_buf, NULL); verify_results_q7(rconv_im_out_ref_q7, rconv_im_out_opt_q7, RCONV_OUT_DIM_Y * RCONV_OUT_DIM_X * RCONV_OUT_CH); delete[]test1; delete[]test2; delete[]test3; test2 = new q15_t[RCONV_KER_DIM_Y * RCONV_KER_DIM_X * RCONV_IM_CH * RCONV_OUT_CH + RCONV_OUT_CH]; // weights + bias test4 = new q15_t[2 * RCONV_KER_DIM_Y * RCONV_KER_DIM_X * RCONV_IM_CH //buffer + RCONV_IM_DIM_Y * RCONV_IM_DIM_X * RCONV_IM_CH + 2 * RCONV_OUT_DIM_Y * RCONV_OUT_DIM_X * RCONV_OUT_CH]; // i/o for (int i = 0; i < RCONV_KER_DIM_Y * RCONV_KER_DIM_X * RCONV_IM_CH * RCONV_OUT_CH + RCONV_OUT_CH; i++) { test2[i] = rand() % 256 - 100; } for (int i = 0; i < 2 * RCONV_KER_DIM_Y * RCONV_KER_DIM_X * RCONV_IM_CH + RCONV_IM_DIM_Y * RCONV_IM_DIM_X * RCONV_IM_CH + 2 * RCONV_OUT_DIM_Y * RCONV_OUT_DIM_X * RCONV_OUT_CH; i++) { test4[i] = rand() % 256 - 100; } q15_t *rconv_weight_q15 = test2; q15_t *rconv_bias_q15 = test2 + RCONV_KER_DIM_Y * RCONV_KER_DIM_X * RCONV_IM_CH * RCONV_OUT_CH; rconv_buf = test4; q15_t *rconv_im_in_q15 = test4 + 2 * RCONV_KER_DIM_Y * RCONV_KER_DIM_X * RCONV_IM_CH; q15_t *rconv_im_out_ref_q15 = rconv_im_in_q15 + RCONV_IM_DIM_Y * RCONV_IM_DIM_X * RCONV_IM_CH; q15_t *rconv_im_out_opt_q15 = rconv_im_out_ref_q15 + RCONV_OUT_DIM_Y * RCONV_OUT_DIM_X * RCONV_OUT_CH; initialize_results_q15(rconv_im_out_ref_q15, rconv_im_out_opt_q15, RCONV_OUT_DIM_Y * RCONV_OUT_DIM_X * RCONV_OUT_CH); printf("start conv q15 nonsquare ref implementation\n"); arm_convolve_HWC_q15_nonsquare_ref(rconv_im_in_q15, RCONV_IM_DIM_X, RCONV_IM_DIM_Y, RCONV_IM_CH, rconv_weight_q15, RCONV_OUT_CH, RCONV_KER_DIM_X, RCONV_KER_DIM_Y, RCONV_PADDING_X, RCONV_PADDING_Y, RCONV_STRIDE_X, RCONV_STRIDE_Y, rconv_bias_q15, 1, 7, rconv_im_out_ref_q15, RCONV_OUT_DIM_X, RCONV_OUT_DIM_Y, rconv_buf, NULL); printf("start conv q5 nonsquare opt implementation\n"); arm_convolve_HWC_q15_fast_nonsquare(rconv_im_in_q15, RCONV_IM_DIM_X, RCONV_IM_DIM_Y, RCONV_IM_CH, rconv_weight_q15, RCONV_OUT_CH, RCONV_KER_DIM_X, RCONV_KER_DIM_Y, RCONV_PADDING_X, RCONV_PADDING_Y, RCONV_STRIDE_X, RCONV_STRIDE_Y, rconv_bias_q15, 1, 7, rconv_im_out_opt_q15, RCONV_OUT_DIM_X, RCONV_OUT_DIM_Y, rconv_buf, NULL); verify_results_q15(rconv_im_out_ref_q15, rconv_im_out_opt_q15, RCONV_OUT_DIM_Y * RCONV_OUT_DIM_X * RCONV_OUT_CH); delete [] test2; delete [] test4; #endif #ifdef TEST_CONV #define CONV_IM_DIM 16 #define CONV_IM_CH 16 #define CONV_KER_DIM 5 #define CONV_OUT_CH 16 #define CONV_OUT_DIM 16 test1 = new q7_t[CONV_KER_DIM * CONV_KER_DIM * CONV_IM_CH * CONV_OUT_CH + CONV_OUT_CH]; test2 = new q15_t[CONV_KER_DIM * CONV_KER_DIM * CONV_IM_CH * CONV_OUT_CH + 2 * CONV_KER_DIM * CONV_KER_DIM * CONV_IM_CH * CONV_OUT_CH + CONV_OUT_CH]; test3 = new q7_t[CONV_IM_DIM * CONV_IM_DIM * CONV_IM_CH + 2 * CONV_OUT_DIM * CONV_OUT_DIM * CONV_OUT_CH]; test4 = new q15_t[CONV_IM_DIM * CONV_IM_DIM * CONV_IM_CH + 2 * CONV_OUT_DIM * CONV_OUT_DIM * CONV_OUT_CH]; for (int i = 0; i < CONV_KER_DIM * CONV_KER_DIM * CONV_IM_CH * CONV_OUT_CH + CONV_OUT_CH; i++) { test1[i] = rand() % 256 - 100; } for (int i = 0; i < CONV_KER_DIM * CONV_KER_DIM * CONV_IM_CH * CONV_OUT_CH + 2 * CONV_KER_DIM * CONV_KER_DIM * CONV_IM_CH * CONV_OUT_CH + CONV_OUT_CH; i++) { test2[i] = (rand() % 65536 - 32768); } for (int i = 0; i < CONV_IM_DIM * CONV_IM_DIM * CONV_IM_CH + 2 * CONV_OUT_DIM * CONV_OUT_DIM * CONV_OUT_CH; i++) { test3[i] = rand() % 256 - 100; } for (int i = 0; i < CONV_IM_DIM * CONV_IM_DIM * CONV_IM_CH + 2 * CONV_OUT_DIM * CONV_OUT_DIM * CONV_OUT_CH; i++) { test4[i] = (rand() % 65536 - 32768); } q7_t *conv_weight_q7 = test1; q7_t *conv_bias_q7 = test1 + CONV_KER_DIM * CONV_KER_DIM * CONV_IM_CH * CONV_OUT_CH; q15_t *conv_weight_q15 = test2; q15_t *conv_buf = test2 + CONV_KER_DIM * CONV_KER_DIM * CONV_IM_CH * CONV_OUT_CH; q15_t *conv_bias_q15 = test2 + CONV_KER_DIM * CONV_KER_DIM * CONV_IM_CH * CONV_OUT_CH + 2 * CONV_KER_DIM * CONV_KER_DIM * CONV_IM_CH * CONV_OUT_CH; q7_t *conv_im_in_q7 = test3; q7_t *conv_im_out_ref_q7 = test3 + CONV_IM_DIM * CONV_IM_DIM * CONV_IM_CH; q7_t *conv_im_out_opt_q7 = test3 + CONV_IM_DIM * CONV_IM_DIM * CONV_IM_CH + CONV_OUT_DIM * CONV_OUT_DIM * CONV_OUT_CH; q15_t *conv_im_in_q15 = test4; q15_t *conv_im_out_ref_q15 = test4 + CONV_IM_DIM * CONV_IM_DIM * CONV_IM_CH; q15_t *conv_im_out_opt_q15 = test4 + CONV_IM_DIM * CONV_IM_DIM * CONV_IM_CH + CONV_OUT_DIM * CONV_OUT_DIM * CONV_OUT_CH; initialize_results_q7(conv_im_out_ref_q7, conv_im_out_opt_q7, CONV_OUT_DIM * CONV_OUT_DIM * CONV_OUT_CH); printf("start q7 ref implementation\n"); arm_convolve_HWC_q7_ref(conv_im_in_q7, CONV_IM_DIM, CONV_IM_CH, conv_weight_q7, CONV_OUT_CH, CONV_KER_DIM, 2, 1, conv_bias_q7, 1, 7, conv_im_out_ref_q7, CONV_OUT_DIM, conv_buf, NULL); printf("start q7 basic implementation\n"); arm_convolve_HWC_q7_basic(conv_im_in_q7, CONV_IM_DIM, CONV_IM_CH, conv_weight_q7, CONV_OUT_CH, CONV_KER_DIM, 2, 1, conv_bias_q7, 1, 7, conv_im_out_opt_q7, CONV_OUT_DIM, conv_buf, NULL); verify_results_q7(conv_im_out_ref_q7, conv_im_out_opt_q7, CONV_OUT_DIM * CONV_OUT_DIM * CONV_OUT_CH); printf("start q7 fast implementation\n"); arm_convolve_HWC_q7_fast(conv_im_in_q7, CONV_IM_DIM, CONV_IM_CH, conv_weight_q7, CONV_OUT_CH, CONV_KER_DIM, 2, 1, conv_bias_q7, 1, 7, conv_im_out_opt_q7, CONV_OUT_DIM, conv_buf, NULL); verify_results_q7(conv_im_out_ref_q7, conv_im_out_opt_q7, CONV_OUT_DIM * CONV_OUT_DIM * CONV_OUT_CH); // testing with RGB printf("start q7 ref implementation for RGB\n"); arm_convolve_HWC_q7_ref(conv_im_in_q7, CONV_IM_DIM, 3, conv_weight_q7, CONV_OUT_CH, CONV_KER_DIM, 2, 1, conv_bias_q7, 1, 7, conv_im_out_ref_q7, CONV_OUT_DIM, conv_buf, NULL); printf("start q7 basic implementation for RGB\n"); arm_convolve_HWC_q7_basic(conv_im_in_q7, CONV_IM_DIM, 3, conv_weight_q7, CONV_OUT_CH, CONV_KER_DIM, 2, 1, conv_bias_q7, 1, 7, conv_im_out_opt_q7, CONV_OUT_DIM, conv_buf, NULL); verify_results_q7(conv_im_out_ref_q7, conv_im_out_opt_q7, CONV_OUT_DIM * CONV_OUT_DIM * CONV_OUT_CH); printf("start q7 RGB implementation for RGB\n"); arm_convolve_HWC_q7_RGB(conv_im_in_q7, CONV_IM_DIM, 3, conv_weight_q7, CONV_OUT_CH, CONV_KER_DIM, 2, 1, conv_bias_q7, 1, 7, conv_im_out_opt_q7, CONV_OUT_DIM, conv_buf, NULL); verify_results_q7(conv_im_out_ref_q7, conv_im_out_opt_q7, CONV_OUT_DIM * CONV_OUT_DIM * CONV_OUT_CH); // testing q15 initialize_results_q15(conv_im_out_ref_q15, conv_im_out_opt_q15, CONV_OUT_DIM * CONV_OUT_DIM * CONV_OUT_CH); printf("start q15 ref implementation\n"); arm_convolve_HWC_q15_ref(conv_im_in_q15, CONV_IM_DIM, CONV_IM_CH, conv_weight_q15, CONV_OUT_CH, CONV_KER_DIM, 2, 1, conv_bias_q15, 0, 15, conv_im_out_ref_q15, CONV_OUT_DIM, conv_buf, NULL); printf("start q15 basic implementation\n"); arm_convolve_HWC_q15_basic(conv_im_in_q15, CONV_IM_DIM, CONV_IM_CH, conv_weight_q15, CONV_OUT_CH, CONV_KER_DIM, 2, 1, conv_bias_q15, 0, 15, conv_im_out_opt_q15, CONV_OUT_DIM, conv_buf, NULL); verify_results_q15(conv_im_out_ref_q15, conv_im_out_opt_q15, CONV_OUT_DIM * CONV_OUT_DIM * CONV_OUT_CH); printf("start q15 fast implementation\n"); arm_convolve_HWC_q15_fast(conv_im_in_q15, CONV_IM_DIM, CONV_IM_CH, conv_weight_q15, CONV_OUT_CH, CONV_KER_DIM, 2, 1, conv_bias_q15, 0, 15, conv_im_out_opt_q15, CONV_OUT_DIM, conv_buf, NULL); verify_results_q15(conv_im_out_ref_q15, conv_im_out_opt_q15, CONV_OUT_DIM * CONV_OUT_DIM * CONV_OUT_CH); // depthwise separable conv initialize_results_q7(conv_im_out_ref_q7, conv_im_out_opt_q7, CONV_OUT_DIM * CONV_OUT_DIM * CONV_OUT_CH); printf("start q7 depthwise_separable_conv ref implementation\n"); arm_depthwise_separable_conv_HWC_q7_ref(conv_im_in_q7, CONV_IM_DIM, CONV_IM_CH, conv_weight_q7, CONV_OUT_CH, CONV_KER_DIM, 2, 1, conv_bias_q7, 1, 7, conv_im_out_ref_q7, CONV_OUT_DIM, conv_buf, NULL); printf("start q7 depthwise_separable_conv implementation\n"); arm_depthwise_separable_conv_HWC_q7(conv_im_in_q7, CONV_IM_DIM, CONV_IM_CH, conv_weight_q7, CONV_OUT_CH, CONV_KER_DIM, 2, 1, conv_bias_q7, 1, 7, conv_im_out_opt_q7, CONV_OUT_DIM, conv_buf, NULL); verify_results_q7(conv_im_out_ref_q7, conv_im_out_opt_q7, CONV_OUT_DIM * CONV_OUT_DIM * CONV_OUT_CH); delete[]test1; delete[]test2; delete[]test3; delete[]test4; #endif test_pass = true; test_index = 0; while (test_flags[test_index] != -1) { if (test_flags[test_index]) { test_pass = false; } test_index ++; } if (test_pass) { printf("All tests passed\n"); } else { printf("Test failed passed\n"); } return 0; }