| alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2021 Arm Limited. All rights reserved. |
| 3 | * SPDX-License-Identifier: Apache-2.0 |
| 4 | * |
| 5 | * Licensed under the Apache License, Version 2.0 (the "License"); |
| 6 | * you may not use this file except in compliance with the License. |
| 7 | * You may obtain a copy of the License at |
| 8 | * |
| 9 | * http://www.apache.org/licenses/LICENSE-2.0 |
| 10 | * |
| 11 | * Unless required by applicable law or agreed to in writing, software |
| 12 | * distributed under the License is distributed on an "AS IS" BASIS, |
| 13 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 14 | * See the License for the specific language governing permissions and |
| 15 | * limitations under the License. |
| 16 | */ |
| 17 | #include "UseCaseHandler.hpp" |
| 18 | |
| 19 | #include "TestModel.hpp" |
| 20 | #include "UseCaseCommonUtils.hpp" |
| 21 | #include "hal.h" |
| 22 | |
| 23 | #include <cstdlib> |
| 24 | |
| 25 | namespace arm { |
| 26 | namespace app { |
| 27 | |
| 28 | bool RunInferenceHandler(ApplicationContext& ctx) |
| 29 | { |
| 30 | auto& platform = ctx.Get<hal_platform&>("platform"); |
| 31 | auto& model = ctx.Get<Model&>("model"); |
| 32 | |
| 33 | constexpr uint32_t dataPsnTxtInfStartX = 150; |
| 34 | constexpr uint32_t dataPsnTxtInfStartY = 40; |
| 35 | |
| 36 | if (!model.IsInited()) { |
| 37 | printf_err("Model is not initialised! Terminating processing.\n"); |
| 38 | return false; |
| 39 | } |
| 40 | |
| 41 | const size_t numInputs = model.GetNumInputs(); |
| 42 | |
| 43 | /* Populate each input tensor with random data. */ |
| 44 | for (size_t inputIndex = 0; inputIndex < numInputs; inputIndex++) { |
| 45 | |
| 46 | TfLiteTensor* inputTensor = model.GetInputTensor(inputIndex); |
| 47 | |
| 48 | debug("Populating input tensor %zu@%p\n", inputIndex, inputTensor); |
| 49 | debug("Total input size to be populated: %zu\n", inputTensor->bytes); |
| 50 | |
| 51 | /* Create a random input. */ |
| 52 | if (inputTensor->bytes > 0) { |
| 53 | |
| 54 | uint8_t* tData = tflite::GetTensorData<uint8_t>(inputTensor); |
| 55 | |
| 56 | for (size_t j = 0; j < inputTensor->bytes; ++j) { |
| 57 | tData[j] = static_cast<uint8_t>(std::rand() & 0xFF); |
| 58 | } |
| 59 | } |
| 60 | } |
| 61 | |
| 62 | /* Strings for presentation/logging. */ |
| 63 | std::string str_inf{"Running inference... "}; |
| 64 | |
| 65 | /* Display message on the LCD - inference running. */ |
| 66 | platform.data_psn->present_data_text( |
| 67 | str_inf.c_str(), str_inf.size(), |
| 68 | dataPsnTxtInfStartX, dataPsnTxtInfStartY, 0); |
| 69 | |
| 70 | RunInference(platform, model); |
| 71 | |
| 72 | /* Erase. */ |
| 73 | str_inf = std::string(str_inf.size(), ' '); |
| 74 | platform.data_psn->present_data_text( |
| 75 | str_inf.c_str(), str_inf.size(), |
| 76 | dataPsnTxtInfStartX, dataPsnTxtInfStartY, 0); |
| 77 | |
| 78 | #if VERIFY_TEST_OUTPUT |
| 79 | for (size_t outputIndex = 0; outputIndex < model.GetNumOutputs(); outputIndex++) { |
| 80 | arm::app::DumpTensor(model.GetOutputTensor(outputIndex)); |
| 81 | } |
| 82 | #endif /* VERIFY_TEST_OUTPUT */ |
| 83 | |
| 84 | return true; |
| 85 | } |
| 86 | |
| 87 | } /* namespace app */ |
| 88 | } /* namespace arm */ |