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//
// Copyright © 2017 Arm Ltd. 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("OptimizeConsecutiveReshapesTest")
{
armnn::Graph graph;
const armnn::TensorInfo info0({ 1, 2, 3, 5 }, armnn::DataType::Float32);
auto output = graph.AddLayer<armnn::OutputLayer>(0, "output");
auto input = graph.InsertNewLayer<armnn::InputLayer>(output->GetInputSlot(0), 0, "input");
input->GetOutputHandler().SetTensorInfo(info0);
{
// Inserts two reshapes.
const armnn::TensorInfo info1({ 1, 30, 1, 1 }, armnn::DataType::Float32);
const armnn::TensorInfo info2({ 1, 2, 1, 15 }, armnn::DataType::Float32);
std::string reshape1Name = "reshape1";
std::string reshape2Name = "reshape2";
auto reshape1 = graph.InsertNewLayer<armnn::ReshapeLayer>(
output->GetInputSlot(0), armnn::ReshapeDescriptor{ info1.GetShape() }, reshape1Name.c_str());
auto reshape2 = graph.InsertNewLayer<armnn::ReshapeLayer>(
output->GetInputSlot(0), armnn::ReshapeDescriptor{ info2.GetShape() }, reshape2Name.c_str());
reshape1->GetOutputHandler().SetTensorInfo(info1);
reshape2->GetOutputHandler().SetTensorInfo(info2);
CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
&IsLayerOfType<armnn::ReshapeLayer>, &IsLayerOfType<armnn::ReshapeLayer>,
&IsLayerOfType<armnn::OutputLayer>));
armnn::Optimizer::Pass(graph, armnn::MakeOptimizations(OptimizeConsecutiveReshapes()));
auto checkReshape = [&info2](const armnn::Layer* const layer) -> bool {
const auto reshapeLayer = static_cast<const armnn::ReshapeLayer*>(layer);
return IsLayerOfType<armnn::ReshapeLayer>(layer) &&
(reshapeLayer->GetParameters().m_TargetShape == info2.GetShape()) &&
(reshapeLayer->GetOutputHandler().GetTensorInfo().GetShape() == info2.GetShape());
};
// The two reshapes are replaced by a single equivalent reshape.
CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>, checkReshape,
&IsLayerOfType<armnn::OutputLayer>));
// Check the new reshape layer has the other two reshapes as related layers
std::list<std::string> testRelatedLayers = { reshape2Name, reshape1Name };
CHECK(CheckRelatedLayers<armnn::ReshapeLayer>(graph, testRelatedLayers));
}
{
// Inserts a reshape to the input shape.
auto reshapeToIn = graph.InsertNewLayer<armnn::ReshapeLayer>(
output->GetInputSlot(0), armnn::ReshapeDescriptor{ info0.GetShape() }, "reshapeToIn");
reshapeToIn->GetOutputHandler().SetTensorInfo(info0);
armnn::Optimizer::Pass(graph, armnn::MakeOptimizations(OptimizeConsecutiveReshapes()));
// The two reshapes are removed.
CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
&IsLayerOfType<armnn::OutputLayer>));
}
}
}
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