blob: d87113c20913507335d8918a18ab530c9460f316 [file] [log] [blame]
//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "../TestUtils.hpp"
#include <Optimizer.hpp>
#include <boost/test/unit_test.hpp>
using namespace armnn;
BOOST_AUTO_TEST_SUITE(Optimizer)
using namespace armnn::optimizations;
BOOST_AUTO_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");
BOOST_TEST(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
BOOST_TEST(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
&IsLayerOfType<armnn::Convolution2dLayer>, &IsLayerOfType<armnn::OutputLayer>));
}
BOOST_AUTO_TEST_SUITE_END()