MLECO-3164: Additional refactoring of KWS API
Part 1
* Add KwsClassifier
* KwsPostProcess can now be told to average results
* Averaging is handlded by KwsClassifier
* Current sliding window index is now an argument of DoPreProcess
Change-Id: I07626da595ad1cbd982e8366f0d1bb56d1040459
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);
+}
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