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//
// 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()
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