PermuteAndBatchToSpaceAsDepthToSpaceTests.cpp File Reference

#include "../TestUtils.hpp"
#include <Network.hpp>
#include <Optimizer.hpp>
#include <boost/test/unit_test.hpp>

Go to the source code of this file.

Functions
	BOOST_AUTO_TEST_CASE (PermuteAndBatchToSpaceAsDepthToSpaceOptimizerTest)
	Tests that the optimization performed by PermuteAndBatchToSpaceAsDepthToSpace is as expected. More...
	BOOST_AUTO_TEST_CASE (TransposeAndBatchToSpaceAsDepthToSpaceOptimizerTest)
	Tests that the optimization performed by PermuteAndBatchToSpaceAsDepthToSpace is as expected. More...

Function Documentation

BOOST_AUTO_TEST_CASE() [1/2]

BOOST_AUTO_TEST_CASE

(

PermuteAndBatchToSpaceAsDepthToSpaceOptimizerTest

)

Tests that the optimization performed by PermuteAndBatchToSpaceAsDepthToSpace is as expected.

Note this does not ensure the correctness of the optimization - that is done in the below test.

Definition at line 86 of file PermuteAndBatchToSpaceAsDepthToSpaceTests.cpp.

References Graph::cbegin(), Graph::cend(), CheckSequence(), armnn::Float32, armnn::MakeOptimizations(), armnn::NHWC, and Optimizer::Pass().

{
    std::unique_ptr<NetworkImpl> network = CreateTestNetworkImpl();
    Graph graph         = network.get()->GetGraph();

    // Confirm initial graph is as we expect
    BOOST_TEST(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<InputLayer>, &IsLayerOfType<PermuteLayer>,
                             &IsLayerOfType<BatchToSpaceNdLayer>, &IsLayerOfType<OutputLayer>));

    // Perform the optimization which should merge the two layers into a DepthToSpace
    armnn::Optimizer::Pass(graph, MakeOptimizations(PermuteAndBatchToSpaceAsDepthToSpace()));

    // Check that the replacement has been made as expected
    auto checkDepthToSpace = [](const Layer* const layer) -> bool {
        return IsLayerOfType<DepthToSpaceLayer>(layer) &&
               static_cast<const DepthToSpaceLayer*>(layer)->GetParameters().m_BlockSize == 2 &&
               static_cast<const DepthToSpaceLayer*>(layer)->GetParameters().m_DataLayout == DataLayout::NHWC &&
               layer->GetOutputHandler().GetTensorInfo() == TensorInfo({ 1, 4, 6, 1 }, DataType::Float32);
    };

    BOOST_TEST(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<InputLayer>, checkDepthToSpace,
                             &IsLayerOfType<OutputLayer>));

    // Check the new layer has the two merged layers listed as related layers
    std::list<std::string> testRelatedLayers = { "batchToSpace", "permute" };
    BOOST_TEST(CheckRelatedLayers<DepthToSpaceLayer>(graph, testRelatedLayers));
}

BOOST_AUTO_TEST_CASE() [2/2]

BOOST_AUTO_TEST_CASE

(

TransposeAndBatchToSpaceAsDepthToSpaceOptimizerTest

)

Tests that the optimization performed by PermuteAndBatchToSpaceAsDepthToSpace is as expected.

Note this does not ensure the correctness of the optimization - that is done in the below test.

Definition at line 116 of file PermuteAndBatchToSpaceAsDepthToSpaceTests.cpp.

References armnn::BOOST_AUTO_TEST_CASE(), BOOST_AUTO_TEST_SUITE_END(), Graph::cbegin(), Graph::cend(), CheckSequence(), armnn::CpuRef, IRuntime::Create(), INetwork::Create(), armnn::Float32, armnn::GetGraphForTesting(), BatchToSpaceNdDescriptor::m_BlockShape, BatchToSpaceNdDescriptor::m_DataLayout, armnn::MakeOptimizations(), armnn::NHWC, armnn::Optimize(), and Optimizer::Pass().

{
    std::unique_ptr<NetworkImpl> network = CreateTransposeTestNetworkImpl();
    Graph graph         = network.get()->GetGraph();

    // Confirm initial graph is as we expect
    BOOST_TEST(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<InputLayer>, &IsLayerOfType<TransposeLayer>,
                             &IsLayerOfType<BatchToSpaceNdLayer>, &IsLayerOfType<OutputLayer>));

    // Perform the optimization which should merge the two layers into a DepthToSpace
    armnn::Optimizer::Pass(graph, MakeOptimizations(TransposeAndBatchToSpaceAsDepthToSpace()));

    // Check that the replacement has been made as expected
    auto checkDepthToSpace = [](const Layer* const layer) -> bool {
        return IsLayerOfType<DepthToSpaceLayer>(layer) &&
               static_cast<const DepthToSpaceLayer*>(layer)->GetParameters().m_BlockSize == 2 &&
               static_cast<const DepthToSpaceLayer*>(layer)->GetParameters().m_DataLayout == DataLayout::NHWC &&
               layer->GetOutputHandler().GetTensorInfo() == TensorInfo({ 1, 4, 6, 1 }, DataType::Float32);
    };

    BOOST_TEST(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<InputLayer>, checkDepthToSpace,
                             &IsLayerOfType<OutputLayer>));

    // Check the new layer has the two merged layers listed as related layers
    std::list<std::string> testRelatedLayers = { "batchToSpace", "permute" };
    BOOST_TEST(CheckRelatedLayers<DepthToSpaceLayer>(graph, testRelatedLayers));
}