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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "../TestUtils.hpp"
#include <Optimizer.hpp>
#include <boost/test/unit_test.hpp>
BOOST_AUTO_TEST_SUITE(Optimizer)
using namespace armnn::optimizations;
BOOST_AUTO_TEST_CASE(Fp32NetworkToFp16OptimizationTest)
{
armnn::Graph graph;
const armnn::TensorInfo infoFP32({ 2, 2, 1, 3 }, armnn::DataType::Float32);
// Create the simple test network
auto input = graph.AddLayer<armnn::InputLayer>(0, "input");
input->GetOutputSlot().SetTensorInfo(infoFP32);
auto floor = graph.AddLayer<armnn::FloorLayer>("floor");
floor->GetOutputSlot().SetTensorInfo(infoFP32);
auto output = graph.AddLayer<armnn::OutputLayer>(1, "output");
// Connect up the layers
input->GetOutputSlot().Connect(floor->GetInputSlot(0));
floor->GetOutputSlot().Connect(output->GetInputSlot(0));
BOOST_TEST(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
&IsLayerOfType<armnn::FloorLayer>, &IsLayerOfType<armnn::OutputLayer>));
// Run the optimizer
armnn::Optimizer::Pass(graph, armnn::MakeOptimizations(Fp32NetworkToFp16Converter()));
BOOST_TEST(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
&IsLayerOfType<armnn::ConvertFp32ToFp16Layer>, &IsLayerOfType<armnn::FloorLayer>,
&IsLayerOfType<armnn::ConvertFp16ToFp32Layer>, &IsLayerOfType<armnn::OutputLayer>));
}
BOOST_AUTO_TEST_SUITE_END()
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