alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 1 | /* |
Kshitij Sisodia | 2ea4623 | 2022-12-19 16:37:33 +0000 | [diff] [blame] | 2 | * SPDX-FileCopyrightText: Copyright 2021 Arm Limited and/or its affiliates |
| 3 | * <open-source-office@arm.com> SPDX-License-Identifier: Apache-2.0 |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 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 | aa4bcb1 | 2022-05-06 09:13:03 +0100 | [diff] [blame] | 17 | #include "BufAttributes.hpp" |
Kshitij Sisodia | 2ea4623 | 2022-12-19 16:37:33 +0000 | [diff] [blame] | 18 | #include "MicroNetKwsModel.hpp" |
| 19 | #include "TensorFlowLiteMicro.hpp" |
| 20 | #include "TestData_kws.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 { |
Liam Barry | 213a543 | 2022-05-09 17:06:19 +0100 | [diff] [blame] | 26 | namespace app { |
| 27 | static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE; |
| 28 | namespace kws { |
| 29 | extern uint8_t* GetModelPointer(); |
| 30 | extern size_t GetModelLen(); |
| 31 | } /* namespace kws */ |
| 32 | } /* namespace app */ |
Kshitij Sisodia | aa4bcb1 | 2022-05-06 09:13:03 +0100 | [diff] [blame] | 33 | } /* namespace arm */ |
| 34 | |
Isabella Gottardi | 2181d0a | 2021-04-07 09:27:38 +0100 | [diff] [blame] | 35 | namespace test { |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 36 | namespace kws { |
Isabella Gottardi | 2181d0a | 2021-04-07 09:27:38 +0100 | [diff] [blame] | 37 | |
Kshitij Sisodia | 2ea4623 | 2022-12-19 16:37:33 +0000 | [diff] [blame] | 38 | bool RunInference(arm::app::Model& model, const int8_t vec[]) |
| 39 | { |
| 40 | TfLiteTensor* inputTensor = model.GetInputTensor(0); |
| 41 | REQUIRE(inputTensor); |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 42 | |
Kshitij Sisodia | 2ea4623 | 2022-12-19 16:37:33 +0000 | [diff] [blame] | 43 | const size_t copySz = |
| 44 | inputTensor->bytes < IFM_0_DATA_SIZE ? inputTensor->bytes : IFM_0_DATA_SIZE; |
| 45 | memcpy(inputTensor->data.data, vec, copySz); |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 46 | |
Kshitij Sisodia | 2ea4623 | 2022-12-19 16:37:33 +0000 | [diff] [blame] | 47 | return model.RunInference(); |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 48 | } |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 49 | |
Kshitij Sisodia | 2ea4623 | 2022-12-19 16:37:33 +0000 | [diff] [blame] | 50 | bool RunInferenceRandom(arm::app::Model& model) |
| 51 | { |
| 52 | TfLiteTensor* inputTensor = model.GetInputTensor(0); |
| 53 | REQUIRE(inputTensor); |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 54 | |
Kshitij Sisodia | 2ea4623 | 2022-12-19 16:37:33 +0000 | [diff] [blame] | 55 | std::random_device rndDevice; |
| 56 | std::mt19937 mersenneGen{rndDevice()}; |
| 57 | std::uniform_int_distribution<short> dist{-128, 127}; |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 58 | |
Kshitij Sisodia | 2ea4623 | 2022-12-19 16:37:33 +0000 | [diff] [blame] | 59 | auto gen = [&dist, &mersenneGen]() { return dist(mersenneGen); }; |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 60 | |
Kshitij Sisodia | 2ea4623 | 2022-12-19 16:37:33 +0000 | [diff] [blame] | 61 | std::vector<int8_t> randomAudio(inputTensor->bytes); |
| 62 | std::generate(std::begin(randomAudio), std::end(randomAudio), gen); |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 63 | |
Kshitij Sisodia | 2ea4623 | 2022-12-19 16:37:33 +0000 | [diff] [blame] | 64 | REQUIRE(RunInference(model, randomAudio.data())); |
| 65 | return true; |
| 66 | } |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 67 | |
Kshitij Sisodia | 2ea4623 | 2022-12-19 16:37:33 +0000 | [diff] [blame] | 68 | template <typename T> |
| 69 | void TestInference(const T* input_goldenFV, const T* output_goldenFV, arm::app::Model& model) |
| 70 | { |
| 71 | REQUIRE(RunInference(model, input_goldenFV)); |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 72 | |
Kshitij Sisodia | 2ea4623 | 2022-12-19 16:37:33 +0000 | [diff] [blame] | 73 | TfLiteTensor* outputTensor = model.GetOutputTensor(0); |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 74 | |
Kshitij Sisodia | 2ea4623 | 2022-12-19 16:37:33 +0000 | [diff] [blame] | 75 | REQUIRE(outputTensor); |
| 76 | REQUIRE(outputTensor->bytes == OFM_0_DATA_SIZE); |
| 77 | auto tensorData = tflite::GetTensorData<T>(outputTensor); |
| 78 | REQUIRE(tensorData); |
| 79 | |
| 80 | for (size_t i = 0; i < outputTensor->bytes; i++) { |
| 81 | REQUIRE(static_cast<int>(tensorData[i]) == static_cast<int>((T)output_goldenFV[i])); |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 82 | } |
| 83 | } |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 84 | |
Kshitij Sisodia | 2ea4623 | 2022-12-19 16:37:33 +0000 | [diff] [blame] | 85 | TEST_CASE("Running random inference with Tflu and MicroNetKwsModel Int8", "[MicroNetKws]") |
| 86 | { |
| 87 | arm::app::MicroNetKwsModel model{}; |
| 88 | |
| 89 | REQUIRE_FALSE(model.IsInited()); |
| 90 | REQUIRE(model.Init(arm::app::tensorArena, |
| 91 | sizeof(arm::app::tensorArena), |
| 92 | arm::app::kws::GetModelPointer(), |
| 93 | arm::app::kws::GetModelLen())); |
| 94 | REQUIRE(model.IsInited()); |
| 95 | |
| 96 | REQUIRE(RunInferenceRandom(model)); |
| 97 | } |
| 98 | |
| 99 | TEST_CASE("Running inference with Tflu and MicroNetKwsModel Int8", "[MicroNetKws]") |
| 100 | { |
| 101 | REQUIRE(NUMBER_OF_IFM_FILES == NUMBER_OF_OFM_FILES); |
| 102 | for (uint32_t i = 0; i < NUMBER_OF_IFM_FILES; ++i) { |
| 103 | const int8_t* input_goldenFV = GetIfmDataArray(i); |
| 104 | const int8_t* output_goldenFV = GetOfmDataArray(i); |
| 105 | |
| 106 | DYNAMIC_SECTION("Executing inference with re-init") |
| 107 | { |
| 108 | arm::app::MicroNetKwsModel model{}; |
| 109 | |
| 110 | REQUIRE_FALSE(model.IsInited()); |
| 111 | REQUIRE(model.Init(arm::app::tensorArena, |
| 112 | sizeof(arm::app::tensorArena), |
| 113 | arm::app::kws::GetModelPointer(), |
| 114 | arm::app::kws::GetModelLen())); |
| 115 | REQUIRE(model.IsInited()); |
| 116 | |
| 117 | TestInference<int8_t>(input_goldenFV, output_goldenFV, model); |
| 118 | } |
| 119 | } |
| 120 | } |
| 121 | |
| 122 | } // namespace kws |
| 123 | } // namespace test |