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 | */ |
| 17 | #include "AsrClassifier.hpp" |
| 18 | #include "Wav2LetterModel.hpp" |
| 19 | |
| 20 | #include <catch.hpp> |
| 21 | |
| 22 | TEST_CASE("Test invalid classifier") |
| 23 | { |
| 24 | TfLiteTensor* outputTens = nullptr; |
| 25 | std::vector <arm::app::ClassificationResult> resultVec; |
| 26 | arm::app::AsrClassifier classifier; |
| 27 | |
| 28 | REQUIRE(!classifier.GetClassificationResults(outputTens, resultVec, {}, 1)); |
| 29 | } |
| 30 | |
| 31 | |
| 32 | TEST_CASE("Test valid classifier UINT8") { |
Richard Burton | 0d11059 | 2021-08-12 17:26:30 +0100 | [diff] [blame] | 33 | int dimArray[] = {4, 1, 1, 246, 29}; |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 34 | std::vector <std::string> labels(29); |
| 35 | std::vector <uint8_t> outputVec(7134); |
| 36 | TfLiteIntArray* dims= tflite::testing::IntArrayFromInts(dimArray); |
| 37 | TfLiteTensor tfTensor = tflite::testing::CreateQuantizedTensor( |
alexander | c350cdc | 2021-04-29 20:36:09 +0100 | [diff] [blame] | 38 | outputVec.data(), dims, 1, 0); |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 39 | TfLiteTensor* outputTensor = &tfTensor; |
| 40 | std::vector <arm::app::ClassificationResult> resultVec; |
| 41 | arm::app::AsrClassifier classifier; |
| 42 | |
| 43 | REQUIRE(classifier.GetClassificationResults(outputTensor, resultVec, labels, 1)); |
| 44 | REQUIRE(246 == resultVec.size()); |
| 45 | } |
| 46 | |
| 47 | |
| 48 | TEST_CASE("Get classification results") { |
Richard Burton | 0d11059 | 2021-08-12 17:26:30 +0100 | [diff] [blame] | 49 | int dimArray[] = {4, 1, 1, 10, 15}; |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 50 | std::vector <std::string> labels(15); |
| 51 | std::vector<uint8_t> outputVec(150, static_cast<uint8_t>(1)); |
| 52 | TfLiteIntArray* dims= tflite::testing::IntArrayFromInts(dimArray); |
| 53 | TfLiteTensor tfTensor = tflite::testing::CreateQuantizedTensor( |
alexander | c350cdc | 2021-04-29 20:36:09 +0100 | [diff] [blame] | 54 | outputVec.data(), dims, 1, 0); |
alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 55 | TfLiteTensor* outputTensor = &tfTensor; |
| 56 | |
| 57 | std::vector <arm::app::ClassificationResult> resultVec(10); |
| 58 | |
| 59 | /* set the top five results: */ |
| 60 | std::vector<std::pair<uint32_t, std::pair<uint32_t, uint8_t>>> selectedResults { |
| 61 | {0, {3, 23}}, |
| 62 | {0, {9, 15}}, |
| 63 | {1, {5, 24}}, |
| 64 | {1, {7, 4}}, |
| 65 | {2, {9, 5}}, |
| 66 | {3, {8, 6}}, |
| 67 | {4, {13, 10}}, |
| 68 | {4, {6, 18}}, |
| 69 | {5, {3, 15}}, |
| 70 | {5, {4, 115}}, |
| 71 | {6, {6, 25}}, |
| 72 | {7, {1, 7}}, |
| 73 | {8, {11, 9}}, |
| 74 | {9, {1, 10}} |
| 75 | }; |
| 76 | |
| 77 | const uint32_t nCols = outputTensor->dims->data[arm::app::Wav2LetterModel::ms_outputColsIdx]; |
| 78 | for (size_t i = 0; i < selectedResults.size(); ++i) { |
| 79 | uint32_t rIndex = selectedResults[i].first; |
| 80 | uint32_t cIndex = selectedResults[i].second.first; |
| 81 | uint8_t value = selectedResults[i].second.second; |
| 82 | outputVec[rIndex * nCols + cIndex] = value; |
| 83 | } |
| 84 | |
| 85 | arm::app::AsrClassifier classifier; |
| 86 | |
| 87 | REQUIRE(classifier.GetClassificationResults(outputTensor, resultVec, labels, 1)); |
| 88 | REQUIRE(resultVec[0].m_labelIdx == 3); |
| 89 | REQUIRE(resultVec[1].m_labelIdx == 5); |
| 90 | REQUIRE(resultVec[2].m_labelIdx == 9); |
| 91 | REQUIRE(resultVec[3].m_labelIdx == 8); |
| 92 | REQUIRE(resultVec[4].m_labelIdx == 6); |
| 93 | REQUIRE(resultVec[5].m_labelIdx == 4); |
| 94 | REQUIRE(resultVec[6].m_labelIdx == 6); |
| 95 | REQUIRE(resultVec[7].m_labelIdx == 1); |
| 96 | REQUIRE(resultVec[8].m_labelIdx == 11); |
| 97 | REQUIRE(resultVec[9].m_labelIdx == 1); |
| 98 | } |