diff options
Diffstat (limited to 'src/armnnSerializer/test/SerializerTests.cpp')
-rw-r--r-- | src/armnnSerializer/test/SerializerTests.cpp | 15 |
1 files changed, 12 insertions, 3 deletions
diff --git a/src/armnnSerializer/test/SerializerTests.cpp b/src/armnnSerializer/test/SerializerTests.cpp index 4b3a09e47c..42111e6155 100644 --- a/src/armnnSerializer/test/SerializerTests.cpp +++ b/src/armnnSerializer/test/SerializerTests.cpp @@ -490,7 +490,10 @@ BOOST_AUTO_TEST_CASE(SerializeConvolution2d) armnn::INetworkPtr network = armnn::INetwork::Create(); armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); armnn::IConnectableLayer* const convLayer = - network->AddConvolution2dLayer(descriptor, weights, biases, layerName.c_str()); + network->AddConvolution2dLayer(descriptor, + weights, + armnn::Optional<armnn::ConstTensor>(biases), + layerName.c_str()); armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); inputLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(0)); @@ -580,7 +583,10 @@ BOOST_AUTO_TEST_CASE(SerializeDepthwiseConvolution2d) armnn::INetworkPtr network = armnn::INetwork::Create(); armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); armnn::IConnectableLayer* const depthwiseConvLayer = - network->AddDepthwiseConvolution2dLayer(descriptor, weights, biases, layerName.c_str()); + network->AddDepthwiseConvolution2dLayer(descriptor, + weights, + armnn::Optional<armnn::ConstTensor>(biases), + layerName.c_str()); armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); inputLayer->GetOutputSlot(0).Connect(depthwiseConvLayer->GetInputSlot(0)); @@ -925,7 +931,10 @@ BOOST_AUTO_TEST_CASE(SerializeFullyConnected) armnn::INetworkPtr network = armnn::INetwork::Create(); armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); armnn::IConnectableLayer* const fullyConnectedLayer = - network->AddFullyConnectedLayer(descriptor, weights, biases, layerName.c_str()); + network->AddFullyConnectedLayer(descriptor, + weights, + armnn::Optional<armnn::ConstTensor>(biases), + layerName.c_str()); armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); inputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(0)); |