diff options
Diffstat (limited to 'src/armnnSerializer/test/SerializerTests.cpp')
| -rw-r--r-- | src/armnnSerializer/test/SerializerTests.cpp | 17 |
1 files changed, 8 insertions, 9 deletions
diff --git a/src/armnnSerializer/test/SerializerTests.cpp b/src/armnnSerializer/test/SerializerTests.cpp index 632a80a748..966dc6c669 100644 --- a/src/armnnSerializer/test/SerializerTests.cpp +++ b/src/armnnSerializer/test/SerializerTests.cpp @@ -927,22 +927,21 @@ TEST_CASE("SerializeFullyConnected") armnn::INetworkPtr network = armnn::INetwork::Create(); armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); - - // Old way of handling constant tensors. - ARMNN_NO_DEPRECATE_WARN_BEGIN + armnn::IConnectableLayer* const weightsInputLayer = network->AddInputLayer(1); + armnn::IConnectableLayer* const biasInputLayer = network->AddInputLayer(2); armnn::IConnectableLayer* const fullyConnectedLayer = - network->AddFullyConnectedLayer(descriptor, - weights, - armnn::Optional<armnn::ConstTensor>(biases), - layerName.c_str()); - ARMNN_NO_DEPRECATE_WARN_END - + network->AddFullyConnectedLayer(descriptor, + 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)); |