EndToEndTest.cpp File Reference

#include <armnn/Descriptors.hpp>
#include <armnn/IRuntime.hpp>
#include <armnn/INetwork.hpp>
#include <armnn/utility/IgnoreUnused.hpp>
#include <boost/test/unit_test.hpp>
#include <set>

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Functions
	BOOST_AUTO_TEST_CASE (ErrorOnLoadNetwork)

Function Documentation

BOOST_AUTO_TEST_CASE()

BOOST_AUTO_TEST_CASE

(

ErrorOnLoadNetwork

)

Definition at line 17 of file EndToEndTest.cpp.

References BOOST_AUTO_TEST_SUITE_END(), BOOST_CHECK(), IOutputSlot::Connect(), armnn::CpuAcc, INetwork::Create(), IRuntime::Create(), armnn::Float32, IConnectableLayer::GetInputSlot(), IConnectableLayer::GetOutputSlot(), armnn::Optimize(), options, and IOutputSlot::SetTensorInfo().

{
    using namespace armnn;

    // Create runtime in which test will run
    // Note we don't allow falling back to CpuRef if an operation (excluding inputs, outputs, etc.) isn't supported
    IRuntime::CreationOptions options;
    IRuntimePtr runtime(IRuntime::Create(options));

    // build up the structure of the network
    INetworkPtr net(INetwork::Create());

    IConnectableLayer* input = net->AddInputLayer(0);

    // This layer configuration isn't supported by CpuAcc and isn't allowed to fall back, so Optimize will return null.
    NormalizationDescriptor descriptor;
    IConnectableLayer* pooling = net->AddNormalizationLayer(descriptor);

    IConnectableLayer* output = net->AddOutputLayer(0);

    input->GetOutputSlot(0).Connect(pooling->GetInputSlot(0));
    pooling->GetOutputSlot(0).Connect(output->GetInputSlot(0));

    input->GetOutputSlot(0).SetTensorInfo(TensorInfo({ 1, 1, 4, 4 }, DataType::Float32));
    pooling->GetOutputSlot(0).SetTensorInfo(TensorInfo({ 1, 1, 4, 4 }, DataType::Float32));

    // optimize the network
    std::vector<BackendId> backends = {Compute::CpuAcc};
    IOptimizedNetworkPtr optNet = Optimize(*net, backends, runtime->GetDeviceSpec());
    BOOST_CHECK(!optNet);
}