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/*
* 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);
}
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