From 51982472bfedf12e7d82cde6614617f94b2c86d0 Mon Sep 17 00:00:00 2001 From: Ellen Norris-Thompson Date: Wed, 19 Jun 2019 11:46:21 +0100 Subject: IVGCVSW-3269 Add Serialization support for the new Prelu Activation layer * Adds serialization/deserialization support * Adds related unit test Signed-off-by: Ellen Norris-Thompson Change-Id: I600322b03e51f443cbcd9262bb27e36e5fd95ae5 --- src/armnnSerializer/test/SerializerTests.cpp | 43 ++++++++++++++++++++++++++++ 1 file changed, 43 insertions(+) (limited to 'src/armnnSerializer/test/SerializerTests.cpp') 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& inputInfos, + const std::vector& 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 -- cgit v1.2.1