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//
// Copyright © 2020 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "../TestUtils.hpp"
#include <Optimizer.hpp>
#include <doctest/doctest.h>
using namespace armnn;
TEST_SUITE("Optimizer")
{
using namespace armnn::optimizations;
TEST_CASE("TransposeAsReshapeTest")
{
armnn::Graph graph;
std::string transposeLayerName = "transpose";
const armnn::TensorInfo infoIn({ 1, 2, 3, 1 }, armnn::DataType::Float32);
const armnn::TensorInfo infoOut({ 1, 1, 2, 3 }, armnn::DataType::Float32);
auto output = graph.AddLayer<armnn::OutputLayer>(0, "output");
graph.InsertNewLayer<armnn::InputLayer>(output->GetInputSlot(0), 0, "input")
->GetOutputHandler()
.SetTensorInfo(infoIn);
// Inserts transpose.
graph
.InsertNewLayer<armnn::TransposeLayer>(output->GetInputSlot(0), armnn::TransposeDescriptor({ 0, 3, 1, 2 }),
transposeLayerName.c_str())
->GetOutputHandler()
.SetTensorInfo(infoOut);
CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
&IsLayerOfType<armnn::TransposeLayer>, &IsLayerOfType<armnn::OutputLayer>));
armnn::Optimizer::Pass(graph, armnn::MakeOptimizations(TransposeAsReshape()));
// The transpose is replaced by an equivalent reshape.
auto checkReshape = [&infoOut](const armnn::Layer* const layer) -> bool {
const auto reshapeLayer = static_cast<const armnn::ReshapeLayer*>(layer);
return IsLayerOfType<armnn::ReshapeLayer>(layer) &&
(reshapeLayer->GetParameters().m_TargetShape == infoOut.GetShape()) &&
(reshapeLayer->GetOutputHandler().GetTensorInfo().GetShape() == infoOut.GetShape());
};
CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>, checkReshape,
&IsLayerOfType<armnn::OutputLayer>));
std::list<std::string> testRelatedLayers = { transposeLayerName };
CHECK(CheckRelatedLayers<armnn::ReshapeLayer>(graph, testRelatedLayers));
}
}
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