From 3c79893217bc632c9b0efa815091bef3c779490c Mon Sep 17 00:00:00 2001
From: alexander <alexander.efremov@arm.com>
Date: Fri, 26 Mar 2021 21:42:19 +0000
Subject: Opensource ML embedded evaluation kit

Change-Id: I12e807f19f5cacad7cef82572b6dd48252fd61fd
---
 tests/common/ClassifierTests.cc | 76 +++++++++++++++++++++++++++++++++++++++++
 1 file changed, 76 insertions(+)
 create mode 100644 tests/common/ClassifierTests.cc

(limited to 'tests/common/ClassifierTests.cc')

diff --git a/tests/common/ClassifierTests.cc b/tests/common/ClassifierTests.cc
new file mode 100644
index 0000000..f08a09a
--- /dev/null
+++ b/tests/common/ClassifierTests.cc
@@ -0,0 +1,76 @@
+/*
+ * 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 "Classifier.hpp"
+
+#include <catch.hpp>
+
+TEST_CASE("Common classifier")
+{
+    SECTION("Test invalid classifier")
+    {
+        TfLiteTensor* outputTens = nullptr;
+        std::vector <arm::app::ClassificationResult> resultVec;
+        arm::app::Classifier classifier;
+        REQUIRE(!classifier.GetClassificationResults(outputTens, resultVec, {}, 5));
+    }
+
+    SECTION("Test valid classifier UINT8")
+    {
+        const int dimArray[] = {1, 1001};
+        std::vector <std::string> labels(1001);
+        std::vector <uint8_t> outputVec(1001);
+        TfLiteIntArray* dims= tflite::testing::IntArrayFromInts(dimArray);
+        TfLiteTensor tfTensor = tflite::testing::CreateQuantizedTensor(
+                outputVec.data(), dims, 1, 0, "test");
+        TfLiteTensor* outputTensor = &tfTensor;
+        std::vector <arm::app::ClassificationResult> resultVec;
+        arm::app::Classifier classifier;
+        REQUIRE(classifier.GetClassificationResults(outputTensor, resultVec, labels, 5));
+        REQUIRE(5 == resultVec.size());
+    }
+
+    SECTION("Get classification results")
+    {
+        const int dimArray[] = {1, 1001};
+        std::vector <std::string> labels(1001);
+        std::vector<uint8_t> outputVec(1001, static_cast<uint8_t>(5));
+        TfLiteIntArray* dims= tflite::testing::IntArrayFromInts(dimArray);
+        TfLiteTensor tfTensor = tflite::testing::CreateQuantizedTensor(
+                outputVec.data(), dims, 1, 0, "test");
+        TfLiteTensor* outputTensor = &tfTensor;
+
+        std::vector <arm::app::ClassificationResult> resultVec;
+
+        /* Set the top five results. */
+        std::vector<std::pair<uint32_t, uint8_t>> selectedResults {
+                {0, 8}, {20, 7}, {10, 7}, {15, 9}, {1000, 10}};
+
+        for (size_t i = 0; i < selectedResults.size(); ++i) {
+            outputVec[selectedResults[i].first] = selectedResults[i].second;
+        }
+
+        arm::app::Classifier classifier;
+        REQUIRE(classifier.GetClassificationResults(outputTensor, resultVec, labels, 5));
+        REQUIRE(5 == resultVec.size());
+
+        REQUIRE(resultVec[0].m_labelIdx == 1000);
+        REQUIRE(resultVec[1].m_labelIdx == 15);
+        REQUIRE(resultVec[2].m_labelIdx == 0);
+        REQUIRE(resultVec[3].m_labelIdx == 20);
+        REQUIRE(resultVec[4].m_labelIdx == 10);
+    }
+}
-- 
cgit v1.2.1