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//
// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include <TestUtils.hpp>
#include <Optimizer.hpp>
#include <doctest/doctest.h>
TEST_SUITE("Optimizer")
{
using namespace armnn::optimizations;
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));
CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
&IsLayerOfType<armnn::FloorLayer>,
&IsLayerOfType<armnn::OutputLayer>));
// Run the optimizer
armnn::Optimizer::Pass(graph, armnn::MakeOptimizations(Fp32NetworkToFp16Converter()));
CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
&IsLayerOfType<armnn::ConvertFp32ToFp16Layer>,
&IsLayerOfType<armnn::FloorLayer>,
&IsLayerOfType<armnn::ConvertFp16ToFp32Layer>,
&IsLayerOfType<armnn::OutputLayer>));
CHECK(floor->GetDataType() == armnn::DataType::Float16);
CHECK(floor->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo().GetDataType() == armnn::DataType::Float16);
CHECK(floor->GetOutputSlot(0).GetTensorInfo().GetDataType() == armnn::DataType::Float16);
}
}
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