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Anton Moberg456566d2021-03-17 10:19:26 +01001/*
2 * Copyright (c) 2021 Arm Limited. All rights reserved.
3 *
4 * SPDX-License-Identifier: Apache-2.0
5 *
6 * Licensed under the Apache License, Version 2.0 (the License); you may
7 * not use this file except in compliance with the License.
8 * You may obtain a copy of the License at
9 *
10 * www.apache.org/licenses/LICENSE-2.0
11 *
12 * Unless required by applicable law or agreed to in writing, software
13 * distributed under the License is distributed on an AS IS BASIS, WITHOUT
14 * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
15 * See the License for the specific language governing permissions and
16 * limitations under the License.
17 */
18
19/****************************************************************************
20 * Includes
21 ****************************************************************************/
22
23// NPU driver
24#include "ethosu_driver.h"
25// Inference process
26#include "inference_process.hpp"
27// System includes
28#include <stdio.h>
29#include <vector>
30
31// Model data
32#include "input.h"
33#include "model.h"
34#include "output.h"
35
Jens Elofsson74eefce2021-05-25 13:47:13 +020036#ifdef ETHOSU
37#include <ethosu_monitor.hpp>
38#include <pmu_ethosu.h>
39#endif
40
Anton Moberg456566d2021-03-17 10:19:26 +010041using namespace std;
42
43/****************************************************************************
44 * InferenceJob
45 ****************************************************************************/
46
47#ifndef TENSOR_ARENA_SIZE
48#define TENSOR_ARENA_SIZE 2000000
49#endif
50
51__attribute__((section(".bss.tensor_arena"), aligned(16))) uint8_t TFLuTensorArena[TENSOR_ARENA_SIZE];
52
53InferenceProcess::InferenceProcess inferenceProcess(TFLuTensorArena, TENSOR_ARENA_SIZE);
54
Jonathan Strandbergd2afc512021-03-19 10:31:18 +010055uint8_t outputData[sizeof(expectedOutputData)] __attribute__((aligned(16), section("output_data_sec")));
Anton Moberg456566d2021-03-17 10:19:26 +010056
Jens Elofsson74eefce2021-05-25 13:47:13 +020057#ifdef ETHOSU
58namespace {
59std::vector<ethosu_pmu_event_type> pmuEventConfig{ETHOSU_PMU_CYCLE, ETHOSU_PMU_NPU_ACTIVE};
60const uint32_t delayMs = SystemCoreClock / 60ul;
61struct ethosu_driver *ethosuDrv;
62EthosUMonitor ethosuMonitor(0, EthosUMonitor::Backend::EVENT_RECORDER);
63} // namespace
64
65extern "C" {
66
67void SysTick_Handler(void) {
68 ethosuMonitor.monitorSample(ethosuDrv);
69}
70
71void ethosu_inference_begin(struct ethosu_driver *drv, const void *) {
72 ethosuDrv = drv;
73 ethosuMonitor.configure(drv, pmuEventConfig);
74
75 // Enable polling
76 SysTick_Config(delayMs);
77}
78
79void ethosu_inference_end(struct ethosu_driver *drv, const void *) {
80 // Disable polling
81 SysTick->CTRL = 0;
82
83 ethosuDrv = 0;
84 ethosuMonitor.monitorSample(drv);
85 ethosuMonitor.release(drv);
86}
87}
88#endif
89
Anton Moberg456566d2021-03-17 10:19:26 +010090int runInference() {
91 // Load inference data
92 vector<InferenceProcess::DataPtr> input;
93 input.push_back(InferenceProcess::DataPtr(inputData, sizeof(inputData)));
94
95 vector<InferenceProcess::DataPtr> output;
96 output.push_back(InferenceProcess::DataPtr(outputData, sizeof(outputData)));
97
98 vector<InferenceProcess::DataPtr> expected;
99 expected.push_back(InferenceProcess::DataPtr(expectedOutputData, sizeof(expectedOutputData)));
100
101 // Create job
102 InferenceProcess::InferenceJob job(string(modelName),
103 InferenceProcess::DataPtr(networkModelData, sizeof(networkModelData)),
104 input,
105 output,
106 expected,
107 512,
108 std::vector<uint8_t>(4),
109 false);
110
111 // Run job
112 bool failed = inferenceProcess.runJob(job);
113 printf("Status of executed job: ");
114 printf(failed ? "Failed\n" : "Success\n");
115
116 return failed;
117}
118
119int main() {
Jens Elofsson74eefce2021-05-25 13:47:13 +0200120#ifdef ETHOSU
121 EventRecorderInitialize(EventRecordAll, 1);
122#endif
Anton Moberg456566d2021-03-17 10:19:26 +0100123 int ret = runInference();
124 return ret;
Jonathan Strandbergd2afc512021-03-19 10:31:18 +0100125}