diff options
Diffstat (limited to 'tests/use_case/kws/KwsClassifierTests.cc')
| -rw-r--r-- | tests/use_case/kws/KwsClassifierTests.cc | 125 |
1 files changed, 125 insertions, 0 deletions
diff --git a/tests/use_case/kws/KwsClassifierTests.cc b/tests/use_case/kws/KwsClassifierTests.cc new file mode 100644 index 0000000..92fb15e --- /dev/null +++ b/tests/use_case/kws/KwsClassifierTests.cc @@ -0,0 +1,125 @@ +/* + * Copyright (c) 2022 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 "KwsClassifier.hpp" + +#include <catch.hpp> + +TEST_CASE("Test invalid classifier") +{ + TfLiteTensor* outputTens = nullptr; + std::vector<arm::app::ClassificationResult> resultVec; + arm::app::KwsClassifier classifier; + std::vector<std::vector<float>> resultHistory; + REQUIRE(!classifier.GetClassificationResults(outputTens, resultVec, {}, 5, true, resultHistory)); +} + +TEST_CASE("Test valid classifier, average=0 should be same as 1)") +{ + int dimArray[] = {1, 5}; + std::vector<std::string> labels(5); + std::vector<uint8_t> outputVec = {0, 1, 2, 3, 4}; + std::vector<std::vector<float>> resultHistory = {}; + 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::KwsClassifier classifier; + + REQUIRE(classifier.GetClassificationResults(outputTensor, resultVec, labels, 1, false, resultHistory)); + REQUIRE(resultVec[0].m_labelIdx == 4); + REQUIRE(resultVec[0].m_normalisedVal == 4); + + REQUIRE(classifier.GetClassificationResults(outputTensor, resultVec, labels, 1, false, resultHistory)); + REQUIRE(resultVec[0].m_labelIdx == 4); + REQUIRE(resultVec[0].m_normalisedVal == 4); + + std::vector<std::vector<float>> expectedHistory = {}; + REQUIRE(resultHistory == expectedHistory); +} + +TEST_CASE("Test valid classifier UINT8, average=1, softmax=false") +{ + int dimArray[] = {1, 5}; + std::vector<std::string> labels(5); + std::vector<uint8_t> outputVec = {0, 1, 2, 3, 4}; + std::vector<std::vector<float>> resultHistory = {{0, 0, 0, 0, 0}}; + 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::KwsClassifier classifier; + + REQUIRE(classifier.GetClassificationResults(outputTensor, resultVec, labels, 1, false, resultHistory)); + REQUIRE(resultVec[0].m_labelIdx == 4); + REQUIRE(resultVec[0].m_normalisedVal == 4); + + /* We do not update history if not >1 in size. */ + std::vector<std::vector<float>> expectedHistory = {{0, 0, 0, 0, 0}}; + REQUIRE(resultHistory == expectedHistory); +} + +TEST_CASE("Test valid classifier UINT8, average=2") +{ + int dimArray[] = {1, 5}; + std::vector<std::string> labels(5); + std::vector<uint8_t> outputVec = {0, 1, 2, 3, 4}; + std::vector<std::vector<float>> resultHistory = {{0, 0, 0, 0, 0}, {0, 0, 0, 0, 0}}; + 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::KwsClassifier classifier; + + REQUIRE(classifier.GetClassificationResults(outputTensor, resultVec, labels, 1, false, resultHistory)); + REQUIRE(resultVec[0].m_labelIdx == 4); + REQUIRE(resultVec[0].m_normalisedVal == 2); + + REQUIRE(classifier.GetClassificationResults(outputTensor, resultVec, labels, 1, false, resultHistory)); + REQUIRE(resultVec[0].m_labelIdx == 4); + REQUIRE(resultVec[0].m_normalisedVal == 4); + + std::vector<std::vector<float>> expectedHistory = {{0, 1, 2, 3, 4}, {0, 1, 2, 3, 4}}; + REQUIRE(resultHistory == expectedHistory); +} + +TEST_CASE("Test valid classifier int8, average=0") +{ + int dimArray[] = {1, 5}; + std::vector<std::string> labels(5); + std::vector<int8_t> outputVec = {-2, -1, 0, 2, 1}; + std::vector<std::vector<float>> resultHistory = {}; + 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::KwsClassifier classifier; + + REQUIRE(classifier.GetClassificationResults(outputTensor, resultVec, labels, 1, false, resultHistory)); + REQUIRE(resultVec[0].m_labelIdx == 3); + REQUIRE(resultVec[0].m_normalisedVal == 2); + + REQUIRE(classifier.GetClassificationResults(outputTensor, resultVec, labels, 1, false, resultHistory)); + REQUIRE(resultVec[0].m_labelIdx == 3); + REQUIRE(resultVec[0].m_normalisedVal == 2); + + std::vector<std::vector<float>> expectedHistory = {}; + REQUIRE(resultHistory == expectedHistory); +}
\ No newline at end of file |