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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("InsertDebugOptimizationTest")
{
armnn::Graph graph;
const armnn::TensorInfo info({ 2, 2, 1, 3 }, armnn::DataType::Float32);
// Create the simple test network
auto input = graph.AddLayer<armnn::InputLayer>(0, "input");
input->GetOutputSlot().SetTensorInfo(info);
auto floor = graph.AddLayer<armnn::FloorLayer>("floor");
floor->GetOutputSlot().SetTensorInfo(info);
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(InsertDebugLayer()));
CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
&IsLayerOfType<armnn::DebugLayer>, &IsLayerOfType<armnn::FloorLayer>,
&IsLayerOfType<armnn::DebugLayer>, &IsLayerOfType<armnn::OutputLayer>));
}
}
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