alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 1 | /* |
Richard Burton | f32a86a | 2022-11-15 11:46:11 +0000 | [diff] [blame^] | 2 | * SPDX-FileCopyrightText: Copyright 2021 Arm Limited and/or its affiliates <open-source-office@arm.com> |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 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 | */ |
Kshitij Sisodia | 76a1580 | 2021-12-24 11:05:11 +0000 | [diff] [blame] | 17 | #include "MicroNetKwsModel.hpp" |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 18 | #include "TestData_kws.hpp" |
| 19 | #include "TensorFlowLiteMicro.hpp" |
Kshitij Sisodia | aa4bcb1 | 2022-05-06 09:13:03 +0100 | [diff] [blame] | 20 | #include "BufAttributes.hpp" |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 21 | |
| 22 | #include <catch.hpp> |
| 23 | #include <random> |
| 24 | |
Kshitij Sisodia | aa4bcb1 | 2022-05-06 09:13:03 +0100 | [diff] [blame] | 25 | namespace arm { |
| 26 | namespace app { |
| 27 | static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE; |
Kshitij Sisodia | aa4bcb1 | 2022-05-06 09:13:03 +0100 | [diff] [blame] | 28 | namespace kws { |
Liam Barry | 213a543 | 2022-05-09 17:06:19 +0100 | [diff] [blame] | 29 | extern uint8_t* GetModelPointer(); |
Kshitij Sisodia | aa4bcb1 | 2022-05-06 09:13:03 +0100 | [diff] [blame] | 30 | extern size_t GetModelLen(); |
| 31 | } /* namespace kws */ |
| 32 | } /* namespace app */ |
| 33 | } /* namespace arm */ |
| 34 | |
Isabella Gottardi | 2181d0a | 2021-04-07 09:27:38 +0100 | [diff] [blame] | 35 | using namespace test; |
| 36 | |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 37 | bool RunInference(arm::app::Model& model, const int8_t vec[]) |
| 38 | { |
| 39 | TfLiteTensor* inputTensor = model.GetInputTensor(0); |
| 40 | REQUIRE(inputTensor); |
| 41 | |
Richard Burton | 0055346 | 2021-11-10 16:27:14 +0000 | [diff] [blame] | 42 | const size_t copySz = inputTensor->bytes < IFM_0_DATA_SIZE ? |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 43 | inputTensor->bytes : |
Richard Burton | 0055346 | 2021-11-10 16:27:14 +0000 | [diff] [blame] | 44 | IFM_0_DATA_SIZE; |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 45 | memcpy(inputTensor->data.data, vec, copySz); |
| 46 | |
| 47 | return model.RunInference(); |
| 48 | } |
| 49 | |
| 50 | bool RunInferenceRandom(arm::app::Model& model) |
| 51 | { |
| 52 | TfLiteTensor* inputTensor = model.GetInputTensor(0); |
| 53 | REQUIRE(inputTensor); |
| 54 | |
| 55 | std::random_device rndDevice; |
| 56 | std::mt19937 mersenneGen{rndDevice()}; |
| 57 | std::uniform_int_distribution<short> dist {-128, 127}; |
| 58 | |
| 59 | auto gen = [&dist, &mersenneGen](){ |
| 60 | return dist(mersenneGen); |
| 61 | }; |
| 62 | |
| 63 | std::vector<int8_t> randomAudio(inputTensor->bytes); |
| 64 | std::generate(std::begin(randomAudio), std::end(randomAudio), gen); |
| 65 | |
| 66 | REQUIRE(RunInference(model, randomAudio.data())); |
| 67 | return true; |
| 68 | } |
| 69 | |
| 70 | template<typename T> |
| 71 | void TestInference(const T* input_goldenFV, const T* output_goldenFV, arm::app::Model& model) |
| 72 | { |
| 73 | REQUIRE(RunInference(model, input_goldenFV)); |
| 74 | |
| 75 | TfLiteTensor* outputTensor = model.GetOutputTensor(0); |
| 76 | |
| 77 | REQUIRE(outputTensor); |
Richard Burton | 0055346 | 2021-11-10 16:27:14 +0000 | [diff] [blame] | 78 | REQUIRE(outputTensor->bytes == OFM_0_DATA_SIZE); |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 79 | auto tensorData = tflite::GetTensorData<T>(outputTensor); |
| 80 | REQUIRE(tensorData); |
| 81 | |
| 82 | for (size_t i = 0; i < outputTensor->bytes; i++) { |
Isabella Gottardi | 79d4154 | 2021-10-20 15:52:32 +0100 | [diff] [blame] | 83 | REQUIRE(static_cast<int>(tensorData[i]) == static_cast<int>(((T)output_goldenFV[i]))); |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 84 | } |
| 85 | } |
| 86 | |
Kshitij Sisodia | 76a1580 | 2021-12-24 11:05:11 +0000 | [diff] [blame] | 87 | TEST_CASE("Running random inference with TensorFlow Lite Micro and MicroNetKwsModel Int8", "[MicroNetKws]") |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 88 | { |
Kshitij Sisodia | 76a1580 | 2021-12-24 11:05:11 +0000 | [diff] [blame] | 89 | arm::app::MicroNetKwsModel model{}; |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 90 | |
| 91 | REQUIRE_FALSE(model.IsInited()); |
Kshitij Sisodia | aa4bcb1 | 2022-05-06 09:13:03 +0100 | [diff] [blame] | 92 | REQUIRE(model.Init(arm::app::tensorArena, |
| 93 | sizeof(arm::app::tensorArena), |
| 94 | arm::app::kws::GetModelPointer(), |
| 95 | arm::app::kws::GetModelLen())); |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 96 | REQUIRE(model.IsInited()); |
| 97 | |
| 98 | REQUIRE(RunInferenceRandom(model)); |
| 99 | } |
| 100 | |
Kshitij Sisodia | 76a1580 | 2021-12-24 11:05:11 +0000 | [diff] [blame] | 101 | TEST_CASE("Running inference with TensorFlow Lite Micro and MicroNetKwsModel int8", "[MicroNetKws]") |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 102 | { |
Richard Burton | 0055346 | 2021-11-10 16:27:14 +0000 | [diff] [blame] | 103 | REQUIRE(NUMBER_OF_IFM_FILES == NUMBER_OF_OFM_FILES); |
| 104 | for (uint32_t i = 0 ; i < NUMBER_OF_IFM_FILES; ++i) { |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 105 | const int8_t* input_goldenFV = get_ifm_data_array(i);; |
| 106 | const int8_t* output_goldenFV = get_ofm_data_array(i); |
| 107 | |
alexander | 31ae9f0 | 2022-02-10 16:15:54 +0000 | [diff] [blame] | 108 | DYNAMIC_SECTION("Executing inference with re-init " << i) |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 109 | { |
Kshitij Sisodia | 76a1580 | 2021-12-24 11:05:11 +0000 | [diff] [blame] | 110 | arm::app::MicroNetKwsModel model{}; |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 111 | |
| 112 | REQUIRE_FALSE(model.IsInited()); |
Kshitij Sisodia | aa4bcb1 | 2022-05-06 09:13:03 +0100 | [diff] [blame] | 113 | REQUIRE(model.Init(arm::app::tensorArena, |
| 114 | sizeof(arm::app::tensorArena), |
| 115 | arm::app::kws::GetModelPointer(), |
| 116 | arm::app::kws::GetModelLen())); |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 117 | REQUIRE(model.IsInited()); |
| 118 | |
| 119 | TestInference<int8_t>(input_goldenFV, output_goldenFV, model); |
| 120 | |
| 121 | } |
| 122 | } |
| 123 | } |