src/backends/neon/test/NeonEndToEndTests.cpp

//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//

#include <backendsCommon/test/EndToEndTestImpl.hpp>
#include <backendsCommon/test/ConcatTestImpl.hpp>
#include <backendsCommon/test/ArithmeticTestImpl.hpp>
#include <backendsCommon/test/SplitterEndToEndTestImpl.hpp>

#include <boost/test/unit_test.hpp>

BOOST_AUTO_TEST_SUITE(NeonEndToEnd)

std::vector<armnn::BackendId> defaultBackends = {armnn::Compute::CpuAcc};

BOOST_AUTO_TEST_CASE(ConstantUsage_Neon_Float32)
{
    BOOST_TEST(ConstantUsageFloat32Test(defaultBackends));
}

BOOST_AUTO_TEST_CASE(FallbackToCpuRef)
{
    using namespace armnn;

    // Create runtime in which test will run and allow fallback to CpuRef.
    IRuntime::CreationOptions options;
    IRuntimePtr runtime(IRuntime::Create(options));

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

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

    // This layer configuration isn't supported by CpuAcc but we allow fallback to CpuRef so it shoud pass.
    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, Compute::CpuRef};
    IOptimizedNetworkPtr optNet = Optimize(*net, backends, runtime->GetDeviceSpec());

    // Load it into the runtime. It should pass.
    NetworkId netId;
    BOOST_TEST(runtime->LoadNetwork(netId, std::move(optNet)) == Status::Success);
}

BOOST_AUTO_TEST_CASE(NeonGreaterSimpleEndToEndTest)
{
    const std::vector<uint8_t> expectedOutput({ 0, 0, 0, 0,  1, 1, 1, 1,
                                                0, 0, 0, 0,  0, 0, 0, 0 });

    ArithmeticSimpleEndToEnd<armnn::DataType::Float32, armnn::DataType::Boolean>(defaultBackends,
                                                                                 LayerType::Greater,
                                                                                 expectedOutput);
}

BOOST_AUTO_TEST_CASE(NeonGreaterSimpleEndToEndUint8Test)
{
    const std::vector<uint8_t> expectedOutput({ 0, 0, 0, 0,  1, 1, 1, 1,
                                                0, 0, 0, 0,  0, 0, 0, 0 });

    ArithmeticSimpleEndToEnd<armnn::DataType::QuantisedAsymm8, armnn::DataType::Boolean>(defaultBackends,
                                                                                         LayerType::Greater,
                                                                                         expectedOutput);
}

BOOST_AUTO_TEST_CASE(NeonGreaterBroadcastEndToEndTest)
{
    const std::vector<uint8_t> expectedOutput({ 0, 1, 0, 0, 0, 1,
                                                1, 1, 1, 1, 1, 1 });

    ArithmeticBroadcastEndToEnd<armnn::DataType::Float32, armnn::DataType::Boolean>(defaultBackends,
                                                                                    LayerType::Greater,
                                                                                    expectedOutput);
}

BOOST_AUTO_TEST_CASE(NeonGreaterBroadcastEndToEndUint8Test)
{
    const std::vector<uint8_t> expectedOutput({ 0, 1, 0, 0, 0, 1,
                                                1, 1, 1, 1, 1, 1 });

    ArithmeticBroadcastEndToEnd<armnn::DataType::QuantisedAsymm8, armnn::DataType::Boolean>(defaultBackends,
                                                                                            LayerType::Greater,
                                                                                            expectedOutput);
}

BOOST_AUTO_TEST_CASE(NeonConcatEndToEndDim0Test)
{
    ConcatDim0EndToEnd<armnn::DataType::Float32>(defaultBackends);
}

BOOST_AUTO_TEST_CASE(NeonConcatEndToEndDim0Uint8Test)
{
    ConcatDim0EndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends);
}

BOOST_AUTO_TEST_CASE(NeonConcatEndToEndDim1Test)
{
    ConcatDim1EndToEnd<armnn::DataType::Float32>(defaultBackends);
}

BOOST_AUTO_TEST_CASE(NeonConcatEndToEndDim1Uint8Test)
{
    ConcatDim1EndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends);
}

BOOST_AUTO_TEST_CASE(NeonConcatEndToEndDim3Test)
{
    ConcatDim3EndToEnd<armnn::DataType::Float32>(defaultBackends);
}

BOOST_AUTO_TEST_CASE(NeonConcatEndToEndDim3Uint8Test)
{
    ConcatDim3EndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends);
}

BOOST_AUTO_TEST_CASE(NeonSplitDim0EndToEndTest)
{
    SplitterDim0EndToEnd<armnn::DataType::Float32>(defaultBackends);
}

BOOST_AUTO_TEST_CASE(NeonSplitDim1EndToEndTest)
{
    SplitterDim1EndToEnd<armnn::DataType::Float32>(defaultBackends);
}

BOOST_AUTO_TEST_CASE(NeonSplitDim2EndToEndTest)
{
    SplitterDim2EndToEnd<armnn::DataType::Float32>(defaultBackends);
}

BOOST_AUTO_TEST_CASE(NeonSplitDim3EndToEndTest)
{
    SplitterDim3EndToEnd<armnn::DataType::Float32>(defaultBackends);
}

BOOST_AUTO_TEST_CASE(NeonSplitDim0EndToEndUint8Test)
{
    SplitterDim0EndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends);
}

BOOST_AUTO_TEST_CASE(NeonSplitDim1EndToEndUint8Test)
{
    SplitterDim1EndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends);
}

BOOST_AUTO_TEST_CASE(NeonSplitDim2EndToEndUint8Test)
{
    SplitterDim2EndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends);
}

BOOST_AUTO_TEST_CASE(NeonSplitDim3EndToEndUint8Test)
{
    SplitterDim3EndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends);
}

BOOST_AUTO_TEST_SUITE_END()