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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>
using namespace armnn;
BOOST_AUTO_TEST_SUITE(Optimizer)
using namespace armnn::optimizations;
BOOST_AUTO_TEST_CASE(SquashEqualSiblingsTest)
{
armnn::Graph graph;
armnn::LayerBindingId outputId = 0;
const armnn::TensorInfo info({ 1, 2, 3, 5 }, armnn::DataType::Float32);
const armnn::TensorInfo permuted({ 1, 5, 2, 3 }, armnn::DataType::Float32);
auto input = graph.AddLayer<armnn::InputLayer>(0, "input");
input->GetOutputSlot().SetTensorInfo(info);
// Inserts equal permutes, equal reshapes and something else.
const armnn::PermuteDescriptor permDesc({ 0, 2, 3, 1 });
const armnn::ReshapeDescriptor reshapeDesc{ { 1, 3, 1, 5 } };
armnn::Layer* layer;
layer = graph.AddLayer<armnn::PermuteLayer>(permDesc, "");
layer->GetOutputSlot().SetTensorInfo(permuted);
layer->GetOutputSlot().Connect(graph.AddLayer<armnn::OutputLayer>(outputId++, "")->GetInputSlot(0));
input->GetOutputSlot().Connect(layer->GetInputSlot(0));
layer = graph.AddLayer<armnn::ReshapeLayer>(reshapeDesc, "");
layer->GetOutputSlot().Connect(graph.AddLayer<armnn::OutputLayer>(outputId++, "")->GetInputSlot(0));
input->GetOutputSlot().Connect(layer->GetInputSlot(0));
layer = graph.AddLayer<armnn::FloorLayer>("");
layer->GetOutputSlot().Connect(graph.AddLayer<armnn::OutputLayer>(outputId++, "")->GetInputSlot(0));
input->GetOutputSlot().Connect(layer->GetInputSlot(0));
layer = graph.AddLayer<armnn::ReshapeLayer>(reshapeDesc, "");
layer->GetOutputSlot().Connect(graph.AddLayer<armnn::OutputLayer>(outputId++, "")->GetInputSlot(0));
input->GetOutputSlot().Connect(layer->GetInputSlot(0));
layer = graph.AddLayer<armnn::PermuteLayer>(permDesc, "");
layer->GetOutputSlot().SetTensorInfo(permuted);
layer->GetOutputSlot().Connect(graph.AddLayer<armnn::OutputLayer>(outputId++, "")->GetInputSlot(0));
input->GetOutputSlot().Connect(layer->GetInputSlot(0));
BOOST_TEST(CheckSequence(
graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>, &IsLayerOfType<armnn::PermuteLayer>,
&IsLayerOfType<armnn::ReshapeLayer>, &IsLayerOfType<armnn::FloorLayer>, &IsLayerOfType<armnn::ReshapeLayer>,
&IsLayerOfType<armnn::PermuteLayer>, &IsLayerOfType<armnn::OutputLayer>, &IsLayerOfType<armnn::OutputLayer>,
&IsLayerOfType<armnn::OutputLayer>, &IsLayerOfType<armnn::OutputLayer>, &IsLayerOfType<armnn::OutputLayer>));
armnn::Optimizer::Pass(graph, armnn::MakeOptimizations(SquashEqualPermuteSiblings(), SquashEqualReshapeSiblings()));
// The permutes and reshapes are squashed.
BOOST_TEST(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
&IsLayerOfType<armnn::PermuteLayer>, &IsLayerOfType<armnn::ReshapeLayer>,
&IsLayerOfType<armnn::FloorLayer>, &IsLayerOfType<armnn::OutputLayer>,
&IsLayerOfType<armnn::OutputLayer>, &IsLayerOfType<armnn::OutputLayer>,
&IsLayerOfType<armnn::OutputLayer>, &IsLayerOfType<armnn::OutputLayer>));
}
BOOST_AUTO_TEST_SUITE_END()
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