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-rw-r--r--src/armnn/test/CreateWorkload.hpp16
1 files changed, 8 insertions, 8 deletions
diff --git a/src/armnn/test/CreateWorkload.hpp b/src/armnn/test/CreateWorkload.hpp
index c07bf6a5bc..3ea2c35061 100644
--- a/src/armnn/test/CreateWorkload.hpp
+++ b/src/armnn/test/CreateWorkload.hpp
@@ -1974,11 +1974,11 @@ std::pair<armnn::IOptimizedNetworkPtr, std::unique_ptr<PreCompiledWorkload>> Cre
{
IgnoreUnused(graph);
- // To create a PreCompiled layer, create a network and Optimize it.
- armnn::Network net;
+ // build up the structure of the network
+ armnn::INetworkPtr net(armnn::INetwork::Create());
// Add an input layer
- armnn::IConnectableLayer* const inputLayer = net.AddInputLayer(0, "input layer");
+ armnn::IConnectableLayer* const inputLayer = net->AddInputLayer(0, "input layer");
BOOST_TEST(inputLayer);
// ArmNN weights tensor shape is OIHW (out channels, in channels, height, width) for NCHW
@@ -2021,7 +2021,7 @@ std::pair<armnn::IOptimizedNetworkPtr, std::unique_ptr<PreCompiledWorkload>> Cre
armnn::ConstTensor biases(biasTensorInfo, biasData);
// Create convolution layer with biases
- convLayer = net.AddConvolution2dLayer(convDesc2d,
+ convLayer = net->AddConvolution2dLayer(convDesc2d,
weights,
Optional<ConstTensor>(biases),
convLayerName.c_str());
@@ -2029,7 +2029,7 @@ std::pair<armnn::IOptimizedNetworkPtr, std::unique_ptr<PreCompiledWorkload>> Cre
else
{
// Create convolution layer without biases
- convLayer = net.AddConvolution2dLayer(convDesc2d,
+ convLayer = net->AddConvolution2dLayer(convDesc2d,
weights,
EmptyOptional(),
convLayerName.c_str());
@@ -2038,7 +2038,7 @@ std::pair<armnn::IOptimizedNetworkPtr, std::unique_ptr<PreCompiledWorkload>> Cre
BOOST_TEST(convLayer);
// Add an output layer
- armnn::IConnectableLayer* const outputLayer = net.AddOutputLayer(0, "output layer");
+ armnn::IConnectableLayer* const outputLayer = net->AddOutputLayer(0, "output layer");
BOOST_TEST(outputLayer);
// set the tensors in the network (NHWC format)
@@ -2068,12 +2068,12 @@ std::pair<armnn::IOptimizedNetworkPtr, std::unique_ptr<PreCompiledWorkload>> Cre
armnn::IRuntime::CreationOptions options;
armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options));
armnn::OptimizerOptions optimizerOptions;
- armnn::IOptimizedNetworkPtr optimizedNet = armnn::Optimize(net, backends, runtime->GetDeviceSpec(),
+ armnn::IOptimizedNetworkPtr optimizedNet = armnn::Optimize(*net, backends, runtime->GetDeviceSpec(),
optimizerOptions);
BOOST_CHECK(optimizedNet != nullptr);
// Find the PreCompiled layer in the optimised graph
- armnn::Graph& optimisedGraph = static_cast<armnn::OptimizedNetwork*>(optimizedNet.get())->GetGraph();
+ armnn::Graph& optimisedGraph = GetGraphForTesting(optimizedNet.get());
Layer* preCompiledLayer = nullptr;
for (auto& layer : optimisedGraph)
{