diff options
| author | joshua <joshua@joshuayun.com> | 2023-12-30 23:54:31 -0500 |
|---|---|---|
| committer | joshua <joshua@joshuayun.com> | 2023-12-30 23:54:31 -0500 |
| commit | 86608c6770cf08c138a2bdab5855072f64be09ef (patch) | |
| tree | 494a61b3ef37e76f9235a0d10f5c93d97290a35f /Drivers/CMSIS/NN/NN_Lib_Tests/nn_test/arm_nnexamples_nn_test.cpp | |
| download | sdr-software-master.tar.gz | |
Diffstat (limited to 'Drivers/CMSIS/NN/NN_Lib_Tests/nn_test/arm_nnexamples_nn_test.cpp')
| -rw-r--r-- | Drivers/CMSIS/NN/NN_Lib_Tests/nn_test/arm_nnexamples_nn_test.cpp | 801 |
1 files changed, 801 insertions, 0 deletions
diff --git a/Drivers/CMSIS/NN/NN_Lib_Tests/nn_test/arm_nnexamples_nn_test.cpp b/Drivers/CMSIS/NN/NN_Lib_Tests/nn_test/arm_nnexamples_nn_test.cpp new file mode 100644 index 0000000..41088fe --- /dev/null +++ b/Drivers/CMSIS/NN/NN_Lib_Tests/nn_test/arm_nnexamples_nn_test.cpp @@ -0,0 +1,801 @@ +/* ----------------------------------------------------------------------
+* 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<NNMULT_DIM*2;i++) {
+ test1[i] = (rand() % 256 - 128);
+ test2[i] = (rand() % 65536 - 32768);
+ }
+
+ // Test q7
+ arm_nn_mult_q7(test1, test1+NNMULT_DIM, mult_out_q7, 5, NNMULT_DIM);
+
+ arm_nn_mult_q7_ref(test1, test1+NNMULT_DIM, mult_ref_q7, 5, NNMULT_DIM);
+
+ verify_results_q7(mult_out_q7, mult_ref_q7, NNMULT_DIM);
+
+ arm_nn_mult_q7(test1, test1+NNMULT_DIM, mult_out_q7, 9, NNMULT_DIM);
+
+ arm_nn_mult_q7_ref(test1, test1+NNMULT_DIM, mult_ref_q7, 9, NNMULT_DIM);
+
+ verify_results_q7(mult_out_q7, mult_ref_q7, NNMULT_DIM);
+
+ // Test q15
+ arm_nn_mult_q15(test2, test2+NNMULT_DIM, mult_out_q15, 13, NNMULT_DIM);
+
+ arm_nn_mult_q15_ref(test2, test2+NNMULT_DIM, mult_ref_q15, 13, NNMULT_DIM);
+
+ verify_results_q15(mult_out_q15, mult_ref_q15, NNMULT_DIM);
+
+ arm_nn_mult_q15(test2, test2+NNMULT_DIM, mult_out_q15, 18, NNMULT_DIM);
+
+ arm_nn_mult_q15_ref(test2, test2+NNMULT_DIM, mult_ref_q15, 18, NNMULT_DIM);
+
+ verify_results_q15(mult_out_q15, mult_ref_q15, NNMULT_DIM);
+
+#endif
+
+#ifdef TEST_SIGMOID
+
+#define SIGMOID_DIM 128
+
+ /* This part tests the running of sigmoid functions */
+
+ test1 = new q7_t[SIGMOID_DIM];
+ test2 = new q15_t[SIGMOID_DIM];
+ test3 = new q7_t[SIGMOID_DIM];
+ test4 = new q15_t[SIGMOID_DIM];
+
+ srand(1);
+
+ for (int i = 0; i < SIGMOID_DIM; i++)
+ {
+ test1[i] = (rand() % 256 - 128);
+ test2[i] = (rand() % 65536 - 32768);
+ test3[i] = test1[i];
+ test4[i] = test2[i];
+ }
+
+ arm_nn_activations_direct_q7(test3, SIGMOID_DIM, 3, ARM_SIGMOID);
+
+ for (int i = 0; i < SIGMOID_DIM; i++)
+ {
+ printf("in: %d out: %d\n", test1[i], test3[i]);
+ }
+
+ printf("start testing q15_t sigmoid\n\n");
+
+ arm_nn_activations_direct_q15(test4, SIGMOID_DIM, 3, ARM_SIGMOID);
+
+ for (int i = 0; i < SIGMOID_DIM; i++)
+ {
+ printf("in: %d out: %d\n", test2[i], test4[i]);
+ }
+
+ delete[]test1;
+ delete[]test2;
+ delete[]test3;
+ delete[]test4;
+
+#endif
+
+#ifdef TEST_TANH
+
+#define TANH_DIM 128
+
+ /* This part tests the running of sigmoid functions */
+
+ test1 = new q7_t[TANH_DIM];
+ test2 = new q15_t[TANH_DIM];
+ test3 = new q7_t[TANH_DIM];
+ test4 = new q15_t[TANH_DIM];
+
+ srand(1);
+
+ for (int i = 0; i < TANH_DIM; i++)
+ {
+ test1[i] = (rand() % 256 - 128);
+ test2[i] = (rand() % 65536 - 32768);
+ test3[i] = test1[i];
+ test4[i] = test2[i];
+ }
+
+ arm_nn_activations_direct_q7(test3, TANH_DIM, 3, ARM_TANH);
+
+ printf("start testing q7_t tanh\n\n");
+
+ for (int i = 0; i < TANH_DIM; i++)
+ {
+ printf("in: %d out: %d\n", test1[i], test3[i]);
+ }
+
+ printf("start testing q15_t tanh\n\n");
+
+ arm_nn_activations_direct_q15(test4, TANH_DIM, 3, ARM_TANH);
+
+ for (int i = 0; i < TANH_DIM; i++)
+ {
+ printf("in: %d out: %d\n", test2[i], test4[i]);
+ }
+
+ delete[]test1;
+ delete[]test2;
+ delete[]test3;
+ delete[]test4;
+
+#endif
+
+#ifdef TEST_POOL
+
+#define POOL_IM_DIM 32
+#define POOL_IM_CH 8
+
+ test1 = new q7_t[POOL_IM_DIM * POOL_IM_DIM * POOL_IM_CH * 2];
+ test2 = new q15_t[POOL_IM_DIM * POOL_IM_CH];
+ test3 = new q7_t[POOL_IM_DIM * POOL_IM_DIM * POOL_IM_CH];
+
+ for (int i = 0; i < POOL_IM_DIM * POOL_IM_DIM * POOL_IM_CH; i++)
+ {
+ test1[i] = (rand() % 256 - 128);
+ }
+
+ q7_t *img_in = test1 + POOL_IM_DIM * POOL_IM_DIM * POOL_IM_CH;
+ q7_t *pool_out_ref = test3;
+ q7_t *pool_out_opt = test3 + POOL_IM_DIM * POOL_IM_DIM * POOL_IM_CH / 2;
+
+ for (int i = 0; i < POOL_IM_DIM * POOL_IM_DIM * POOL_IM_CH; i++)
+ {
+ test3[i] = 0;
+ }
+
+ // copy over the img input
+ for (int i = 0; i < POOL_IM_DIM * POOL_IM_DIM * POOL_IM_CH; i++)
+ {
+ img_in[i] = test1[i];
+ }
+
+ initialize_results_q7(pool_out_ref, pool_out_opt, POOL_IM_DIM / 2 * POOL_IM_DIM / 2 * POOL_IM_CH);
+
+ printf("Start maxpool reference implementation\n");
+
+ arm_maxpool_q7_HWC_ref(img_in, POOL_IM_DIM, POOL_IM_CH, 3, 0, 2, POOL_IM_DIM / 2, (q7_t *) test2, pool_out_ref);
+
+ // copy over the img input
+ for (int i = 0; i < POOL_IM_DIM * POOL_IM_DIM * POOL_IM_CH; i++)
+ {
+ img_in[i] = test1[i];
+ }
+
+ printf("Start maxpool opt implementation\n");
+
+ arm_maxpool_q7_HWC(img_in, POOL_IM_DIM, POOL_IM_CH, 3, 0, 2, POOL_IM_DIM / 2, (q7_t *) test2, pool_out_opt);
+
+ verify_results_q7(pool_out_ref, pool_out_opt, POOL_IM_DIM / 2 * POOL_IM_DIM / 2 * POOL_IM_CH);
+
+ // copy over the img input
+ for (int i = 0; i < POOL_IM_DIM * POOL_IM_DIM * POOL_IM_CH; i++)
+ {
+ img_in[i] = test1[i];
+ }
+
+ // copy over the img input
+ for (int i = 0; i < POOL_IM_DIM * POOL_IM_DIM * POOL_IM_CH; i++)
+ {
+ img_in[i] = test1[i];
+ }
+
+ printf("Start avepool ref implementation\n");
+
+ arm_avepool_q7_HWC_ref(img_in, POOL_IM_DIM, POOL_IM_CH, 3, 0, 2, POOL_IM_DIM / 2, (q7_t *) test2, pool_out_ref);
+
+ // copy over the img input
+ for (int i = 0; i < POOL_IM_DIM * POOL_IM_DIM * POOL_IM_CH; i++)
+ {
+ img_in[i] = test1[i];
+ }
+
+ printf("Start avepool opt implementation\n");
+
+ arm_avepool_q7_HWC(img_in, POOL_IM_DIM, POOL_IM_CH, 3, 0, 2, POOL_IM_DIM / 2, (q7_t *) test2, pool_out_opt);
+
+ // special check here
+ bool if_ave_pool_match = true;
+ for (int i = 0; i < POOL_IM_DIM / 2 * POOL_IM_DIM / 2 * POOL_IM_CH; i++)
+ {
+ // we tolerate at most difference of 1 here because of rounding errors
+ if (pool_out_ref[i] - pool_out_opt[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;
+}
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