| /* |
| * Copyright (c) 2021 Arm Limited. All rights reserved. |
| * |
| * SPDX-License-Identifier: Apache-2.0 |
| * |
| * Licensed under the Apache License, Version 2.0 (the License); you may |
| * not use this file except in compliance with the License. |
| * You may obtain a copy of the License at |
| * |
| * www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, software |
| * distributed under the License is distributed on an AS IS BASIS, WITHOUT |
| * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| * See the License for the specific language governing permissions and |
| * limitations under the License. |
| */ |
| |
| /**************************************************************************** |
| * Includes |
| ****************************************************************************/ |
| |
| // Inference process |
| #include "inference_process.hpp" |
| |
| // System includes |
| #include <stdio.h> |
| #include <vector> |
| |
| // Model data |
| #include "input.h" |
| #include "model.h" |
| #include "output.h" |
| |
| #ifdef ETHOSU |
| #include <ethosu_driver.h> |
| #include <ethosu_monitor.hpp> |
| #include <pmu_ethosu.h> |
| #endif |
| |
| using namespace std; |
| |
| /**************************************************************************** |
| * InferenceJob |
| ****************************************************************************/ |
| |
| #ifndef TENSOR_ARENA_SIZE |
| #define TENSOR_ARENA_SIZE 2000000 |
| #endif |
| |
| __attribute__((section(".bss.tensor_arena"), aligned(16))) uint8_t TFLuTensorArena[TENSOR_ARENA_SIZE]; |
| |
| InferenceProcess::InferenceProcess inferenceProcess(TFLuTensorArena, TENSOR_ARENA_SIZE); |
| |
| uint8_t outputData[sizeof(expectedOutputData)] __attribute__((aligned(16), section("output_data_sec"))); |
| |
| #if !defined(ETHOSU_PMU_EVENT_0) || ETHOSU_PMU_EVENT_0 < 0 || ETHOSU_PMU_EVENT_0 >= ETHOSU_PMU_SENTINEL |
| #undef ETHOSU_PMU_EVENT_0 |
| #define ETHOSU_PMU_EVENT_0 ETHOSU_PMU_CYCLE |
| #endif |
| |
| #if !defined(ETHOSU_PMU_EVENT_1) || ETHOSU_PMU_EVENT_1 < 0 || ETHOSU_PMU_EVENT_1 >= ETHOSU_PMU_SENTINEL |
| #undef ETHOSU_PMU_EVENT_1 |
| #define ETHOSU_PMU_EVENT_1 ETHOSU_PMU_NPU_ACTIVE |
| #endif |
| |
| #if !defined(ETHOSU_PMU_EVENT_2) || ETHOSU_PMU_EVENT_2 < 0 || ETHOSU_PMU_EVENT_2 >= ETHOSU_PMU_SENTINEL |
| #undef ETHOSU_PMU_EVENT_2 |
| #define ETHOSU_PMU_EVENT_2 ETHOSU_PMU_NO_EVENT |
| #endif |
| |
| #if !defined(ETHOSU_PMU_EVENT_3) || ETHOSU_PMU_EVENT_3 < 0 || ETHOSU_PMU_EVENT_3 >= ETHOSU_PMU_SENTINEL |
| #undef ETHOSU_PMU_EVENT_3 |
| #define ETHOSU_PMU_EVENT_3 ETHOSU_PMU_NO_EVENT |
| #endif |
| |
| #ifdef ETHOSU |
| constexpr int32_t EventComponentNo = 0x00; |
| namespace { |
| std::vector<ethosu_pmu_event_type> pmuEventConfig{ethosu_pmu_event_type(ETHOSU_PMU_EVENT_0), |
| ethosu_pmu_event_type(ETHOSU_PMU_EVENT_1), |
| ethosu_pmu_event_type(ETHOSU_PMU_EVENT_2), |
| ethosu_pmu_event_type(ETHOSU_PMU_EVENT_3)}; |
| std::vector<int32_t> eventRecMessageIds{EventID(EventLevelDetail, EventComponentNo, ETHOSU_PMU_EVENT_0), |
| EventID(EventLevelDetail, EventComponentNo, ETHOSU_PMU_EVENT_1), |
| EventID(EventLevelDetail, EventComponentNo, ETHOSU_PMU_EVENT_2), |
| EventID(EventLevelDetail, EventComponentNo, ETHOSU_PMU_EVENT_3)}; |
| |
| const uint32_t delayMs = SystemCoreClock / 60ul; |
| struct ethosu_driver *ethosuDrv; |
| EthosUMonitor ethosuMonitor(eventRecMessageIds, EthosUMonitor::Backend::PRINTF); |
| } // namespace |
| |
| extern "C" { |
| |
| void SysTick_Handler(void) { |
| ethosuMonitor.monitorSample(ethosuDrv); |
| } |
| |
| void ethosu_inference_begin(struct ethosu_driver *drv, const void *) { |
| ethosuDrv = drv; |
| ethosuMonitor.configure(drv, pmuEventConfig); |
| |
| // Enable polling |
| SysTick_Config(delayMs); |
| } |
| |
| void ethosu_inference_end(struct ethosu_driver *drv, const void *) { |
| // Disable polling |
| SysTick->CTRL = 0; |
| |
| ethosuDrv = 0; |
| ethosuMonitor.monitorSample(drv); |
| ethosuMonitor.release(drv); |
| } |
| } |
| #endif |
| |
| int runInference() { |
| // Load inference data |
| vector<InferenceProcess::DataPtr> input; |
| input.push_back(InferenceProcess::DataPtr(inputData, sizeof(inputData))); |
| |
| vector<InferenceProcess::DataPtr> output; |
| output.push_back(InferenceProcess::DataPtr(outputData, sizeof(outputData))); |
| |
| vector<InferenceProcess::DataPtr> expected; |
| expected.push_back(InferenceProcess::DataPtr(expectedOutputData, sizeof(expectedOutputData))); |
| |
| // Create job |
| InferenceProcess::InferenceJob job(string(modelName), |
| InferenceProcess::DataPtr(networkModelData, sizeof(networkModelData)), |
| input, |
| output, |
| expected, |
| 512, |
| std::vector<uint8_t>(4), |
| false); |
| |
| // Run job |
| bool failed = inferenceProcess.runJob(job); |
| printf("Status of executed job: "); |
| printf(failed ? "Failed\n" : "Success\n"); |
| |
| return failed; |
| } |
| |
| int main() { |
| #ifdef ETHOSU |
| EventRecorderInitialize(EventRecordAll, 1); |
| #endif |
| int ret = runInference(); |
| return ret; |
| } |