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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>
using namespace armnn;
TEST_SUITE("Optimizer")
{
using namespace armnn::optimizations;
TEST_CASE("OptimizeInverseConversionsTest")
{
armnn::Graph graph;
auto output = graph.AddLayer<armnn::OutputLayer>(0, "output");
graph.InsertNewLayer<armnn::InputLayer>(output->GetInputSlot(0), 0, "input");
// Fp32ToFp16 conversion followed by an inverse Fp16ToFp32 conversion
graph.InsertNewLayer<armnn::ConvertFp32ToFp16Layer>(output->GetInputSlot(0), "convert1");
graph.InsertNewLayer<armnn::ConvertFp16ToFp32Layer>(output->GetInputSlot(0), "convert2");
graph.InsertNewLayer<armnn::Convolution2dLayer>(output->GetInputSlot(0), Convolution2dDescriptor(), "conv");
// Fp16ToFp32 conversion followed by an inverse Fp32ToFp16 conversion
graph.InsertNewLayer<armnn::ConvertFp16ToFp32Layer>(output->GetInputSlot(0), "convert3");
graph.InsertNewLayer<armnn::ConvertFp32ToFp16Layer>(output->GetInputSlot(0), "convert4");
CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
&IsLayerOfType<armnn::ConvertFp32ToFp16Layer>,
&IsLayerOfType<armnn::ConvertFp16ToFp32Layer>, &IsLayerOfType<armnn::Convolution2dLayer>,
&IsLayerOfType<armnn::ConvertFp16ToFp32Layer>,
&IsLayerOfType<armnn::ConvertFp32ToFp16Layer>, &IsLayerOfType<armnn::OutputLayer>));
armnn::Optimizer::Pass(
graph, armnn::MakeOptimizations(OptimizeInverseConversionsFp16(), OptimizeInverseConversionsFp32()));
// Check that all consecutive inverse conversions are removed
CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
&IsLayerOfType<armnn::Convolution2dLayer>, &IsLayerOfType<armnn::OutputLayer>));
}
}
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