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//
// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "LayersFwd.hpp"
#include <Network.hpp>
#include <doctest/doctest.h>
#include <Optimizer.hpp>
#include <TestUtils.hpp>
TEST_SUITE("Optimizer")
{
using namespace armnn;
using namespace armnn::optimizations;
TEST_CASE("ConvertConstPermuteToConst")
{
Graph graph;
const unsigned int shape[] = {1, 2, 2, 3};
const TensorInfo constTensorInfo(4, shape, DataType::Float32, 1.0, 0, true);
ConstantLayer* constant = graph.AddLayer<ConstantLayer>("constant");
std::vector<float> constantValues(constTensorInfo.GetNumElements(), 4.5f);
ConstTensor constTensor(constTensorInfo, constantValues.data());
constant->m_LayerOutput = std::make_shared<ScopedTensorHandle>(constTensor);
constant->GetOutputSlot().SetTensorInfo(constTensorInfo);
PermuteDescriptor desc({ 0, 2, 3, 1 });
PermuteLayer* permuteLayer = graph.AddLayer<PermuteLayer>(desc, "permute");
TensorInfo infoPermuted = armnnUtils::Permuted(constTensorInfo, { 0, 2, 3, 1 });
permuteLayer->GetOutputSlot().SetTensorInfo(infoPermuted);
OutputLayer* output = graph.AddLayer<OutputLayer>(0, "output");
// Connect up constant -> permute -> output
constant->GetOutputSlot().Connect(permuteLayer->GetInputSlot(0));
permuteLayer->GetOutputSlot().Connect(output->GetInputSlot(0));
CHECK(CheckSequence(graph.cbegin(), graph.cend(),
&IsLayerOfType<ConstantLayer>,
&IsLayerOfType<PermuteLayer>,
&IsLayerOfType<OutputLayer>));
armnn::Optimizer::Pass(graph, MakeOptimizations(FusePermuteIntoConstLayer()));
CHECK(CheckSequence(graph.cbegin(), graph.cend(),
&IsLayerOfType<ConstantLayer>,
&IsLayerOfType<OutputLayer>));
TensorShape tensorShape = constant->GetOutputSlot(0).GetTensorInfo().GetShape();
CHECK(tensorShape[0] == shape[0]);
CHECK(tensorShape[1] == shape[3]);
CHECK(tensorShape[2] == shape[1]);
CHECK(tensorShape[3] == shape[2]);
}
}
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