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Diffstat (limited to 'src/armnn/test/optimizations/MovePermuteUpTests.cpp')
| -rw-r--r-- | src/armnn/test/optimizations/MovePermuteUpTests.cpp | 92 |
1 files changed, 92 insertions, 0 deletions
diff --git a/src/armnn/test/optimizations/MovePermuteUpTests.cpp b/src/armnn/test/optimizations/MovePermuteUpTests.cpp new file mode 100644 index 0000000000..2c297d65cd --- /dev/null +++ b/src/armnn/test/optimizations/MovePermuteUpTests.cpp @@ -0,0 +1,92 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "../TestUtils.hpp" + +#include <Optimizer.hpp> + +#include <boost/test/unit_test.hpp> + +BOOST_AUTO_TEST_SUITE(Optimizer) +using namespace armnn::optimizations; + +BOOST_AUTO_TEST_CASE(MovePermuteUpTest) +{ + const armnn::TensorInfo info({ 1, 5, 2, 3 }, armnn::DataType::Float32); + const armnn::TensorInfo permuted({ 1, 3, 5, 2 }, armnn::DataType::Float32); + + armnn::Graph graph; + + armnn::LayerBindingId inputId = 0; + + armnn::Layer* head = graph.AddLayer<armnn::OutputLayer>(0, "output"); + + std::string permuteLayerName = "original_permute"; + + // Insert permute + head = graph.InsertNewLayer<armnn::PermuteLayer>(head->GetInputSlot(0), armnn::PermuteDescriptor({ 0, 2, 3, 1 }), + permuteLayerName.c_str()); + + head->GetOutputHandler().SetTensorInfo(permuted); + + // Inserts layers that don't care about data format. + head = graph.InsertNewLayer<armnn::ActivationLayer>(head->GetInputSlot(0), armnn::ActivationDescriptor{}, ""); + head->GetOutputHandler().SetTensorInfo(info); + + head = graph.InsertNewLayer<armnn::AdditionLayer>(head->GetInputSlot(0), ""); + head->GetOutputHandler().SetTensorInfo(info); + + // Inserts input for 2nd input of Addition. + graph.InsertNewLayer<armnn::InputLayer>(head->GetInputSlot(1), inputId++, "") + ->GetOutputHandler() + .SetTensorInfo(info); + + head = graph.InsertNewLayer<armnn::FakeQuantizationLayer>(head->GetInputSlot(0), + armnn::FakeQuantizationDescriptor{}, ""); + head->GetOutputHandler().SetTensorInfo(info); + + head = graph.InsertNewLayer<armnn::FloorLayer>(head->GetInputSlot(0), ""); + head->GetOutputHandler().SetTensorInfo(info); + + head = graph.InsertNewLayer<armnn::MemCopyLayer>(head->GetInputSlot(0), ""); + head->GetOutputHandler().SetTensorInfo(info); + + head = graph.InsertNewLayer<armnn::MultiplicationLayer>(head->GetInputSlot(0), ""); + head->GetOutputHandler().SetTensorInfo(info); + + // Inserts input for 2nd input of Multiplication. + graph.InsertNewLayer<armnn::InputLayer>(head->GetInputSlot(1), inputId++, "") + ->GetOutputHandler() + .SetTensorInfo(info); + + // Inserts input. + graph.InsertNewLayer<armnn::InputLayer>(head->GetInputSlot(0), inputId++, "") + ->GetOutputHandler() + .SetTensorInfo(info); + + BOOST_TEST(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>, + &IsLayerOfType<armnn::InputLayer>, &IsLayerOfType<armnn::InputLayer>, + &IsLayerOfType<armnn::MultiplicationLayer>, &IsLayerOfType<armnn::MemCopyLayer>, + &IsLayerOfType<armnn::FloorLayer>, &IsLayerOfType<armnn::FakeQuantizationLayer>, + &IsLayerOfType<armnn::AdditionLayer>, &IsLayerOfType<armnn::ActivationLayer>, + &IsLayerOfType<armnn::PermuteLayer>, &IsLayerOfType<armnn::OutputLayer>)); + + armnn::Optimizer::Pass(graph, armnn::MakeOptimizations(MovePermuteUp())); + + // The permute is moved to the top. New permutes for layers with multiple inputs. + BOOST_TEST(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>, + &IsLayerOfType<armnn::InputLayer>, &IsLayerOfType<armnn::InputLayer>, + &IsLayerOfType<armnn::PermuteLayer>, &IsLayerOfType<armnn::PermuteLayer>, + &IsLayerOfType<armnn::PermuteLayer>, &IsLayerOfType<armnn::MultiplicationLayer>, + &IsLayerOfType<armnn::MemCopyLayer>, &IsLayerOfType<armnn::FloorLayer>, + &IsLayerOfType<armnn::FakeQuantizationLayer>, &IsLayerOfType<armnn::AdditionLayer>, + &IsLayerOfType<armnn::ActivationLayer>, &IsLayerOfType<armnn::OutputLayer>)); + + std::list<std::string> testRelatedLayers = { permuteLayerName }; + + BOOST_TEST(CheckRelatedLayers<armnn::PermuteLayer>(graph, testRelatedLayers)); +} + +BOOST_AUTO_TEST_SUITE_END()
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