diff options
Diffstat (limited to 'src/armnnSerializer/test')
-rw-r--r-- | src/armnnSerializer/test/SerializerTests.cpp | 43 |
1 files changed, 43 insertions, 0 deletions
diff --git a/src/armnnSerializer/test/SerializerTests.cpp b/src/armnnSerializer/test/SerializerTests.cpp index a757e16436..812a4780f4 100644 --- a/src/armnnSerializer/test/SerializerTests.cpp +++ b/src/armnnSerializer/test/SerializerTests.cpp @@ -1499,6 +1499,49 @@ BOOST_AUTO_TEST_CASE(SerializeMultiplication) deserializedNetwork->Accept(verifier); } +BOOST_AUTO_TEST_CASE(SerializePrelu) +{ + class PreluLayerVerifier : public LayerVerifierBase + { + public: + PreluLayerVerifier(const std::string& layerName, + const std::vector<armnn::TensorInfo>& inputInfos, + const std::vector<armnn::TensorInfo>& outputInfos) + : LayerVerifierBase(layerName, inputInfos, outputInfos) {} + + void VisitPreluLayer(const armnn::IConnectableLayer* layer, const char* name) override + { + VerifyNameAndConnections(layer, name); + } + }; + + const std::string layerName("prelu"); + + armnn::TensorInfo inputTensorInfo ({ 4, 1, 2 }, armnn::DataType::Float32); + armnn::TensorInfo alphaTensorInfo ({ 5, 4, 3, 1 }, armnn::DataType::Float32); + armnn::TensorInfo outputTensorInfo({ 5, 4, 3, 2 }, armnn::DataType::Float32); + + armnn::INetworkPtr network = armnn::INetwork::Create(); + armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); + armnn::IConnectableLayer* const alphaLayer = network->AddInputLayer(1); + armnn::IConnectableLayer* const preluLayer = network->AddPreluLayer(layerName.c_str()); + armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); + + inputLayer->GetOutputSlot(0).Connect(preluLayer->GetInputSlot(0)); + alphaLayer->GetOutputSlot(0).Connect(preluLayer->GetInputSlot(1)); + preluLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); + + inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); + alphaLayer->GetOutputSlot(0).SetTensorInfo(alphaTensorInfo); + preluLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); + + armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); + BOOST_CHECK(deserializedNetwork); + + PreluLayerVerifier verifier(layerName, {inputTensorInfo, alphaTensorInfo}, {outputTensorInfo}); + deserializedNetwork->Accept(verifier); +} + BOOST_AUTO_TEST_CASE(SerializeNormalization) { class NormalizationLayerVerifier : public LayerVerifierBase |