Anton Moberg | 456566d | 2021-03-17 10:19:26 +0100 | [diff] [blame] | 1 | /* |
| 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 | |
| 36 | using namespace std; |
| 37 | |
| 38 | /**************************************************************************** |
| 39 | * InferenceJob |
| 40 | ****************************************************************************/ |
| 41 | |
| 42 | #ifndef TENSOR_ARENA_SIZE |
| 43 | #define TENSOR_ARENA_SIZE 2000000 |
| 44 | #endif |
| 45 | |
| 46 | __attribute__((section(".bss.tensor_arena"), aligned(16))) uint8_t TFLuTensorArena[TENSOR_ARENA_SIZE]; |
| 47 | |
| 48 | InferenceProcess::InferenceProcess inferenceProcess(TFLuTensorArena, TENSOR_ARENA_SIZE); |
| 49 | |
Jonathan Strandberg | d2afc51 | 2021-03-19 10:31:18 +0100 | [diff] [blame] | 50 | uint8_t outputData[sizeof(expectedOutputData)] __attribute__((aligned(16), section("output_data_sec"))); |
Anton Moberg | 456566d | 2021-03-17 10:19:26 +0100 | [diff] [blame] | 51 | |
| 52 | int runInference() { |
| 53 | // Load inference data |
| 54 | vector<InferenceProcess::DataPtr> input; |
| 55 | input.push_back(InferenceProcess::DataPtr(inputData, sizeof(inputData))); |
| 56 | |
| 57 | vector<InferenceProcess::DataPtr> output; |
| 58 | output.push_back(InferenceProcess::DataPtr(outputData, sizeof(outputData))); |
| 59 | |
| 60 | vector<InferenceProcess::DataPtr> expected; |
| 61 | expected.push_back(InferenceProcess::DataPtr(expectedOutputData, sizeof(expectedOutputData))); |
| 62 | |
| 63 | // Create job |
| 64 | InferenceProcess::InferenceJob job(string(modelName), |
| 65 | InferenceProcess::DataPtr(networkModelData, sizeof(networkModelData)), |
| 66 | input, |
| 67 | output, |
| 68 | expected, |
| 69 | 512, |
| 70 | std::vector<uint8_t>(4), |
| 71 | false); |
| 72 | |
| 73 | // Run job |
| 74 | bool failed = inferenceProcess.runJob(job); |
| 75 | printf("Status of executed job: "); |
| 76 | printf(failed ? "Failed\n" : "Success\n"); |
| 77 | |
| 78 | return failed; |
| 79 | } |
| 80 | |
| 81 | int main() { |
| 82 | int ret = runInference(); |
| 83 | return ret; |
Jonathan Strandberg | d2afc51 | 2021-03-19 10:31:18 +0100 | [diff] [blame] | 84 | } |