diff options
Diffstat (limited to 'src/armnnSerializer/test/SerializerTests.cpp')
| -rw-r--r-- | src/armnnSerializer/test/SerializerTests.cpp | 48 |
1 files changed, 48 insertions, 0 deletions
diff --git a/src/armnnSerializer/test/SerializerTests.cpp b/src/armnnSerializer/test/SerializerTests.cpp index f261731a75..d7c10cb599 100644 --- a/src/armnnSerializer/test/SerializerTests.cpp +++ b/src/armnnSerializer/test/SerializerTests.cpp @@ -748,6 +748,7 @@ BOOST_AUTO_TEST_CASE(SerializeFullyConnected) armnn::FullyConnectedDescriptor descriptor; descriptor.m_BiasEnabled = true; descriptor.m_TransposeWeightMatrix = false; + descriptor.m_ConstantWeights = true; armnn::INetworkPtr network = armnn::INetwork::Create(); armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); @@ -773,6 +774,53 @@ BOOST_AUTO_TEST_CASE(SerializeFullyConnected) deserializedNetwork->ExecuteStrategy(verifier); } +BOOST_AUTO_TEST_CASE(SerializeFullyConnectedWeightsAsInputs) +{ + const std::string layerName("fullyConnected_weights_as_inputs"); + const armnn::TensorInfo inputInfo ({ 2, 5, 1, 1 }, armnn::DataType::Float32); + const armnn::TensorInfo outputInfo({ 2, 3 }, armnn::DataType::Float32); + + const armnn::TensorInfo weightsInfo({ 5, 3 }, armnn::DataType::Float32); + const armnn::TensorInfo biasesInfo ({ 3 }, armnn::DataType::Float32); + + armnn::Optional<armnn::ConstTensor> weights = armnn::EmptyOptional(); + armnn::Optional<armnn::ConstTensor> bias = armnn::EmptyOptional(); + + armnn::FullyConnectedDescriptor descriptor; + descriptor.m_BiasEnabled = true; + descriptor.m_TransposeWeightMatrix = false; + descriptor.m_ConstantWeights = false; + + armnn::INetworkPtr network = armnn::INetwork::Create(); + armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); + armnn::IConnectableLayer* const weightsInputLayer = network->AddInputLayer(1); + armnn::IConnectableLayer* const biasInputLayer = network->AddInputLayer(2); + armnn::IConnectableLayer* const fullyConnectedLayer = + network->AddFullyConnectedLayer(descriptor, + weights, + bias, + layerName.c_str()); + armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); + + inputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(0)); + weightsInputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(1)); + biasInputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(2)); + fullyConnectedLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); + + inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); + weightsInputLayer->GetOutputSlot(0).SetTensorInfo(weightsInfo); + biasInputLayer->GetOutputSlot(0).SetTensorInfo(biasesInfo); + fullyConnectedLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); + + armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); + BOOST_CHECK(deserializedNetwork); + + const std::vector<armnn::ConstTensor> constants {}; + LayerVerifierBaseWithDescriptorAndConstants<armnn::FullyConnectedDescriptor> verifier( + layerName, {inputInfo, weightsInfo, biasesInfo}, {outputInfo}, descriptor, constants); + deserializedNetwork->ExecuteStrategy(verifier); +} + BOOST_AUTO_TEST_CASE(SerializeGather) { using GatherDescriptor = armnn::GatherDescriptor; |