diff options
Diffstat (limited to 'src/armnnTfLiteParser/test/DetectionPostProcess.cpp')
| -rw-r--r-- | src/armnnTfLiteParser/test/DetectionPostProcess.cpp | 72 |
1 files changed, 35 insertions, 37 deletions
diff --git a/src/armnnTfLiteParser/test/DetectionPostProcess.cpp b/src/armnnTfLiteParser/test/DetectionPostProcess.cpp index 304520c24f..e7ef7402f2 100644 --- a/src/armnnTfLiteParser/test/DetectionPostProcess.cpp +++ b/src/armnnTfLiteParser/test/DetectionPostProcess.cpp @@ -12,10 +12,8 @@ #include <armnn/utility/PolymorphicDowncast.hpp> #include <QuantizeHelper.hpp> -#include <boost/test/unit_test.hpp> - -BOOST_AUTO_TEST_SUITE(TensorflowLiteParser) - +TEST_SUITE("TensorflowLiteParser_DetectionPostProcess") +{ struct DetectionPostProcessFixture : ParserFlatbuffersFixture { explicit DetectionPostProcessFixture(const std::string& custom_options) @@ -161,7 +159,7 @@ public: {} }; -BOOST_FIXTURE_TEST_CASE( ParseDetectionPostProcess, ParseDetectionPostProcessCustomOptions ) +TEST_CASE_FIXTURE(ParseDetectionPostProcessCustomOptions, "ParseDetectionPostProcess") { Setup(); @@ -223,7 +221,7 @@ BOOST_FIXTURE_TEST_CASE( ParseDetectionPostProcess, ParseDetectionPostProcessCus RunTest<armnn::DataType::QAsymmU8, armnn::DataType::Float32>(0, input, output); } -BOOST_FIXTURE_TEST_CASE(DetectionPostProcessGraphStructureTest, ParseDetectionPostProcessCustomOptions) +TEST_CASE_FIXTURE(ParseDetectionPostProcessCustomOptions, "DetectionPostProcessGraphStructureTest") { /* Inputs: box_encodings scores @@ -244,47 +242,47 @@ BOOST_FIXTURE_TEST_CASE(DetectionPostProcessGraphStructureTest, ParseDetectionPo armnn::Graph& graph = GetGraphForTesting(optimized.get()); // Check the number of layers in the graph - BOOST_TEST((graph.GetNumInputs() == 2)); - BOOST_TEST((graph.GetNumOutputs() == 4)); - BOOST_TEST((graph.GetNumLayers() == 7)); + CHECK((graph.GetNumInputs() == 2)); + CHECK((graph.GetNumOutputs() == 4)); + CHECK((graph.GetNumLayers() == 7)); // Input layers armnn::Layer* boxEncodingLayer = GetFirstLayerWithName(graph, "box_encodings"); - BOOST_TEST((boxEncodingLayer->GetType() == armnn::LayerType::Input)); - BOOST_TEST(CheckNumberOfInputSlot(boxEncodingLayer, 0)); - BOOST_TEST(CheckNumberOfOutputSlot(boxEncodingLayer, 1)); + CHECK((boxEncodingLayer->GetType() == armnn::LayerType::Input)); + CHECK(CheckNumberOfInputSlot(boxEncodingLayer, 0)); + CHECK(CheckNumberOfOutputSlot(boxEncodingLayer, 1)); armnn::Layer* scoresLayer = GetFirstLayerWithName(graph, "scores"); - BOOST_TEST((scoresLayer->GetType() == armnn::LayerType::Input)); - BOOST_TEST(CheckNumberOfInputSlot(scoresLayer, 0)); - BOOST_TEST(CheckNumberOfOutputSlot(scoresLayer, 1)); + CHECK((scoresLayer->GetType() == armnn::LayerType::Input)); + CHECK(CheckNumberOfInputSlot(scoresLayer, 0)); + CHECK(CheckNumberOfOutputSlot(scoresLayer, 1)); // DetectionPostProcess layer armnn::Layer* detectionPostProcessLayer = GetFirstLayerWithName(graph, "DetectionPostProcess:0:0"); - BOOST_TEST((detectionPostProcessLayer->GetType() == armnn::LayerType::DetectionPostProcess)); - BOOST_TEST(CheckNumberOfInputSlot(detectionPostProcessLayer, 2)); - BOOST_TEST(CheckNumberOfOutputSlot(detectionPostProcessLayer, 4)); + CHECK((detectionPostProcessLayer->GetType() == armnn::LayerType::DetectionPostProcess)); + CHECK(CheckNumberOfInputSlot(detectionPostProcessLayer, 2)); + CHECK(CheckNumberOfOutputSlot(detectionPostProcessLayer, 4)); // Output layers armnn::Layer* detectionBoxesLayer = GetFirstLayerWithName(graph, "detection_boxes"); - BOOST_TEST((detectionBoxesLayer->GetType() == armnn::LayerType::Output)); - BOOST_TEST(CheckNumberOfInputSlot(detectionBoxesLayer, 1)); - BOOST_TEST(CheckNumberOfOutputSlot(detectionBoxesLayer, 0)); + CHECK((detectionBoxesLayer->GetType() == armnn::LayerType::Output)); + CHECK(CheckNumberOfInputSlot(detectionBoxesLayer, 1)); + CHECK(CheckNumberOfOutputSlot(detectionBoxesLayer, 0)); armnn::Layer* detectionClassesLayer = GetFirstLayerWithName(graph, "detection_classes"); - BOOST_TEST((detectionClassesLayer->GetType() == armnn::LayerType::Output)); - BOOST_TEST(CheckNumberOfInputSlot(detectionClassesLayer, 1)); - BOOST_TEST(CheckNumberOfOutputSlot(detectionClassesLayer, 0)); + CHECK((detectionClassesLayer->GetType() == armnn::LayerType::Output)); + CHECK(CheckNumberOfInputSlot(detectionClassesLayer, 1)); + CHECK(CheckNumberOfOutputSlot(detectionClassesLayer, 0)); armnn::Layer* detectionScoresLayer = GetFirstLayerWithName(graph, "detection_scores"); - BOOST_TEST((detectionScoresLayer->GetType() == armnn::LayerType::Output)); - BOOST_TEST(CheckNumberOfInputSlot(detectionScoresLayer, 1)); - BOOST_TEST(CheckNumberOfOutputSlot(detectionScoresLayer, 0)); + CHECK((detectionScoresLayer->GetType() == armnn::LayerType::Output)); + CHECK(CheckNumberOfInputSlot(detectionScoresLayer, 1)); + CHECK(CheckNumberOfOutputSlot(detectionScoresLayer, 0)); armnn::Layer* numDetectionsLayer = GetFirstLayerWithName(graph, "num_detections"); - BOOST_TEST((numDetectionsLayer->GetType() == armnn::LayerType::Output)); - BOOST_TEST(CheckNumberOfInputSlot(numDetectionsLayer, 1)); - BOOST_TEST(CheckNumberOfOutputSlot(numDetectionsLayer, 0)); + CHECK((numDetectionsLayer->GetType() == armnn::LayerType::Output)); + CHECK(CheckNumberOfInputSlot(numDetectionsLayer, 1)); + CHECK(CheckNumberOfOutputSlot(numDetectionsLayer, 0)); // Check the connections armnn::TensorInfo boxEncodingTensor(armnn::TensorShape({ 1, 6, 4 }), armnn::DataType::QAsymmU8, 1, 1); @@ -296,12 +294,12 @@ BOOST_FIXTURE_TEST_CASE(DetectionPostProcessGraphStructureTest, ParseDetectionPo armnn::TensorInfo detectionScoresTensor(armnn::TensorShape({ 1, 3 }), armnn::DataType::Float32, 0, 0); armnn::TensorInfo numDetectionsTensor(armnn::TensorShape({ 1} ), armnn::DataType::Float32, 0, 0); - BOOST_TEST(IsConnected(boxEncodingLayer, detectionPostProcessLayer, 0, 0, boxEncodingTensor)); - BOOST_TEST(IsConnected(scoresLayer, detectionPostProcessLayer, 0, 1, scoresTensor)); - BOOST_TEST(IsConnected(detectionPostProcessLayer, detectionBoxesLayer, 0, 0, detectionBoxesTensor)); - BOOST_TEST(IsConnected(detectionPostProcessLayer, detectionClassesLayer, 1, 0, detectionClassesTensor)); - BOOST_TEST(IsConnected(detectionPostProcessLayer, detectionScoresLayer, 2, 0, detectionScoresTensor)); - BOOST_TEST(IsConnected(detectionPostProcessLayer, numDetectionsLayer, 3, 0, numDetectionsTensor)); + CHECK(IsConnected(boxEncodingLayer, detectionPostProcessLayer, 0, 0, boxEncodingTensor)); + CHECK(IsConnected(scoresLayer, detectionPostProcessLayer, 0, 1, scoresTensor)); + CHECK(IsConnected(detectionPostProcessLayer, detectionBoxesLayer, 0, 0, detectionBoxesTensor)); + CHECK(IsConnected(detectionPostProcessLayer, detectionClassesLayer, 1, 0, detectionClassesTensor)); + CHECK(IsConnected(detectionPostProcessLayer, detectionScoresLayer, 2, 0, detectionScoresTensor)); + CHECK(IsConnected(detectionPostProcessLayer, numDetectionsLayer, 3, 0, numDetectionsTensor)); } -BOOST_AUTO_TEST_SUITE_END() +} |