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/*
* Copyright (c) 2021 Arm Limited. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "AsrClassifier.hpp"
#include "Wav2LetterModel.hpp"
#include <catch.hpp>
TEST_CASE("Test invalid classifier")
{
TfLiteTensor* outputTens = nullptr;
std::vector <arm::app::ClassificationResult> resultVec;
arm::app::AsrClassifier classifier;
REQUIRE(!classifier.GetClassificationResults(outputTens, resultVec, {}, 1));
}
TEST_CASE("Test valid classifier UINT8") {
int dimArray[] = {4, 1, 1, 246, 29};
std::vector <std::string> labels(29);
std::vector <uint8_t> outputVec(7134);
TfLiteIntArray* dims= tflite::testing::IntArrayFromInts(dimArray);
TfLiteTensor tfTensor = tflite::testing::CreateQuantizedTensor(
outputVec.data(), dims, 1, 0);
TfLiteTensor* outputTensor = &tfTensor;
std::vector <arm::app::ClassificationResult> resultVec;
arm::app::AsrClassifier classifier;
REQUIRE(classifier.GetClassificationResults(outputTensor, resultVec, labels, 1));
REQUIRE(246 == resultVec.size());
}
TEST_CASE("Get classification results") {
int dimArray[] = {4, 1, 1, 10, 15};
std::vector <std::string> labels(15);
std::vector<uint8_t> outputVec(150, static_cast<uint8_t>(1));
TfLiteIntArray* dims= tflite::testing::IntArrayFromInts(dimArray);
TfLiteTensor tfTensor = tflite::testing::CreateQuantizedTensor(
outputVec.data(), dims, 1, 0);
TfLiteTensor* outputTensor = &tfTensor;
std::vector <arm::app::ClassificationResult> resultVec(10);
/* set the top five results: */
std::vector<std::pair<uint32_t, std::pair<uint32_t, uint8_t>>> selectedResults {
{0, {3, 23}},
{0, {9, 15}},
{1, {5, 24}},
{1, {7, 4}},
{2, {9, 5}},
{3, {8, 6}},
{4, {13, 10}},
{4, {6, 18}},
{5, {3, 15}},
{5, {4, 115}},
{6, {6, 25}},
{7, {1, 7}},
{8, {11, 9}},
{9, {1, 10}}
};
const uint32_t nCols = outputTensor->dims->data[arm::app::Wav2LetterModel::ms_outputColsIdx];
for (size_t i = 0; i < selectedResults.size(); ++i) {
uint32_t rIndex = selectedResults[i].first;
uint32_t cIndex = selectedResults[i].second.first;
uint8_t value = selectedResults[i].second.second;
outputVec[rIndex * nCols + cIndex] = value;
}
arm::app::AsrClassifier classifier;
REQUIRE(classifier.GetClassificationResults(outputTensor, resultVec, labels, 1));
REQUIRE(resultVec[0].m_labelIdx == 3);
REQUIRE(resultVec[1].m_labelIdx == 5);
REQUIRE(resultVec[2].m_labelIdx == 9);
REQUIRE(resultVec[3].m_labelIdx == 8);
REQUIRE(resultVec[4].m_labelIdx == 6);
REQUIRE(resultVec[5].m_labelIdx == 4);
REQUIRE(resultVec[6].m_labelIdx == 6);
REQUIRE(resultVec[7].m_labelIdx == 1);
REQUIRE(resultVec[8].m_labelIdx == 11);
REQUIRE(resultVec[9].m_labelIdx == 1);
}
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