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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include <armnn/ArmNN.hpp>
#include <armnn/INetwork.hpp>
#include "../Serializer.hpp"
#include <armnnDeserializeParser/IDeserializeParser.hpp>
#include <numeric>
#include <sstream>
#include <vector>
#include <boost/test/unit_test.hpp>
#include <flatbuffers/idl.h>
BOOST_AUTO_TEST_SUITE(SerializerTests)
armnnDeserializeParser::IDeserializeParserPtr g_Parser = armnnDeserializeParser::IDeserializeParser::Create();
BOOST_AUTO_TEST_CASE(SimpleNetworkSerialization)
{
armnn::INetworkPtr network = armnn::INetwork::Create();
armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0);
armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1);
armnn::IConnectableLayer* const additionLayer0 = network->AddAdditionLayer();
inputLayer0->GetOutputSlot(0).Connect(additionLayer0->GetInputSlot(0));
inputLayer1->GetOutputSlot(0).Connect(additionLayer0->GetInputSlot(1));
armnn::IConnectableLayer* const outputLayer0 = network->AddOutputLayer(0);
additionLayer0->GetOutputSlot(0).Connect(outputLayer0->GetInputSlot(0));
armnnSerializer::Serializer serializer;
serializer.Serialize(*network);
std::stringstream stream;
serializer.SaveSerializedToStream(stream);
BOOST_TEST(stream.str().length() > 0);
}
BOOST_AUTO_TEST_CASE(SimpleNetworkWithMultiplicationSerialization)
{
const armnn::TensorInfo info({ 1, 5, 2, 3 }, armnn::DataType::Float32);
armnn::INetworkPtr network = armnn::INetwork::Create();
armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0);
armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1);
const char* multLayerName = "mult_0";
armnn::IConnectableLayer* const multiplicationLayer0 = network->AddMultiplicationLayer(multLayerName);
inputLayer0->GetOutputSlot(0).Connect(multiplicationLayer0->GetInputSlot(0));
inputLayer1->GetOutputSlot(0).Connect(multiplicationLayer0->GetInputSlot(1));
armnn::IConnectableLayer* const outputLayer0 = network->AddOutputLayer(0);
multiplicationLayer0->GetOutputSlot(0).Connect(outputLayer0->GetInputSlot(0));
armnnSerializer::Serializer serializer;
serializer.Serialize(*network);
std::stringstream stream;
serializer.SaveSerializedToStream(stream);
BOOST_TEST(stream.str().length() > 0);
BOOST_TEST(stream.str().find(multLayerName) != stream.str().npos);
}
BOOST_AUTO_TEST_CASE(SimpleSoftmaxIntegration)
{
armnn::TensorInfo tensorInfo({1, 10}, armnn::DataType::Float32);
armnn::SoftmaxDescriptor descriptor;
descriptor.m_Beta = 1.0f;
// Create test network
armnn::INetworkPtr network = armnn::INetwork::Create();
armnn::IConnectableLayer *const inputLayer = network->AddInputLayer(0);
armnn::IConnectableLayer *const softmaxLayer = network->AddSoftmaxLayer(descriptor, "softmax");
armnn::IConnectableLayer *const outputLayer = network->AddOutputLayer(0);
inputLayer->GetOutputSlot(0).Connect(softmaxLayer->GetInputSlot(0));
inputLayer->GetOutputSlot(0).SetTensorInfo(tensorInfo);
softmaxLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0));
softmaxLayer->GetOutputSlot(0).SetTensorInfo(tensorInfo);
// Serialize
armnnSerializer::Serializer serializer;
serializer.Serialize(*network);
std::stringstream stream;
serializer.SaveSerializedToStream(stream);
const std::string serializerString{stream.str()};
// Deserialize
armnn::INetworkPtr deserializedNetwork =
g_Parser->CreateNetworkFromBinary({serializerString.begin(), serializerString.end()});
BOOST_CHECK(deserializedNetwork);
armnn::IRuntime::CreationOptions options;
armnn::IRuntimePtr run = armnn::IRuntime::Create(options);
armnn::IOptimizedNetworkPtr optimizedNetwork =
armnn::Optimize(*network, {armnn::Compute::CpuRef}, run->GetDeviceSpec());
BOOST_CHECK(optimizedNetwork);
armnn::IOptimizedNetworkPtr deserializedOptimizedNetwork =
armnn::Optimize(*deserializedNetwork, {armnn::Compute::CpuRef}, run->GetDeviceSpec());
BOOST_CHECK(deserializedOptimizedNetwork);
armnn::NetworkId networkId1;
armnn::NetworkId networkId2;
run->LoadNetwork(networkId1, std::move(optimizedNetwork));
run->LoadNetwork(networkId2, std::move(deserializedOptimizedNetwork));
std::vector<float> inputData(tensorInfo.GetNumElements());
std::iota(inputData.begin(), inputData.end(), 0);
armnn::InputTensors inputTensors1
{
{0, armnn::ConstTensor(run->GetInputTensorInfo(networkId1, 0), inputData.data())}
};
armnn::InputTensors inputTensors2
{
{0, armnn::ConstTensor(run->GetInputTensorInfo(networkId2, 0), inputData.data())}
};
std::vector<float> outputData1(inputData.size());
std::vector<float> outputData2(inputData.size());
armnn::OutputTensors outputTensors1
{
{0, armnn::Tensor(run->GetOutputTensorInfo(networkId1, 0), outputData1.data())}
};
armnn::OutputTensors outputTensors2
{
{0, armnn::Tensor(run->GetOutputTensorInfo(networkId2, 0), outputData2.data())}
};
run->EnqueueWorkload(networkId1, inputTensors1, outputTensors1);
run->EnqueueWorkload(networkId2, inputTensors2, outputTensors2);
BOOST_CHECK_EQUAL_COLLECTIONS(outputData1.begin(), outputData1.end(),
outputData2.begin(), outputData2.end());
}
BOOST_AUTO_TEST_SUITE_END()
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