| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include <armnn/ArmNN.hpp> |
| #include <Graph.hpp> |
| #include <Network.hpp> |
| |
| #include <reference/RefWorkloadFactory.hpp> |
| |
| #include <boost/test/unit_test.hpp> |
| #include <test/GraphUtils.hpp> |
| |
| BOOST_AUTO_TEST_SUITE(RefOptimizedNetwork) |
| |
| BOOST_AUTO_TEST_CASE(OptimizeValidateCpuRefWorkloads) |
| { |
| const armnn::TensorInfo desc({3, 5}, armnn::DataType::Float32); |
| |
| armnn::Network net; |
| |
| armnn::NormalizationDescriptor nmDesc; |
| armnn::ActivationDescriptor acDesc; |
| |
| // in |
| // | |
| // nm |
| // / | |
| // ac | |
| // \ | |
| // ml |
| // | |
| // sm |
| // | |
| // ot |
| armnn::IConnectableLayer* layer = net.AddInputLayer(0, "in"); |
| layer->GetOutputSlot(0).SetTensorInfo(desc); |
| |
| armnn::IConnectableLayer* const normLayer = net.AddNormalizationLayer(nmDesc, "nm"); |
| |
| layer->GetOutputSlot(0).Connect(normLayer->GetInputSlot(0)); |
| normLayer->GetOutputSlot(0).SetTensorInfo(desc); |
| |
| layer = net.AddActivationLayer(acDesc, "ac"); |
| |
| normLayer->GetOutputSlot(0).Connect(layer->GetInputSlot(0)); |
| layer->GetOutputSlot(0).SetTensorInfo(desc); |
| |
| armnn::IConnectableLayer* prevLayer = layer; |
| layer = net.AddMultiplicationLayer("ml"); |
| |
| prevLayer->GetOutputSlot(0).Connect(layer->GetInputSlot(0)); |
| normLayer->GetOutputSlot(0).Connect(layer->GetInputSlot(1)); |
| layer->GetOutputSlot(0).SetTensorInfo(desc); |
| |
| prevLayer = layer; |
| armnn::SoftmaxDescriptor softmaxDescriptor; |
| layer = net.AddSoftmaxLayer(softmaxDescriptor, "sm"); |
| |
| prevLayer->GetOutputSlot(0).Connect(layer->GetInputSlot(0)); |
| layer->GetOutputSlot(0).SetTensorInfo(desc); |
| |
| prevLayer = layer; |
| layer = net.AddOutputLayer(0, "ot"); |
| |
| prevLayer->GetOutputSlot(0).Connect(layer->GetInputSlot(0)); |
| |
| armnn::IRuntime::CreationOptions options; |
| armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options)); |
| |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| armnn::IOptimizedNetworkPtr optNet = armnn::Optimize(net, backends, runtime->GetDeviceSpec()); |
| static_cast<armnn::OptimizedNetwork*>(optNet.get())->GetGraph().AllocateDynamicBuffers(); |
| BOOST_CHECK(optNet); |
| |
| // Validates workloads. |
| armnn::RefWorkloadFactory fact; |
| for (auto&& layer : static_cast<armnn::OptimizedNetwork*>(optNet.get())->GetGraph()) |
| { |
| BOOST_CHECK_NO_THROW( |
| layer->CreateWorkload(static_cast<armnn::OptimizedNetwork*>(optNet.get())->GetGraph(), fact)); |
| } |
| } |
| |
| BOOST_AUTO_TEST_CASE(OptimizeValidateWorkloadsCpuRefPermuteLayer) |
| { |
| // Create runtime in which test will run |
| armnn::IRuntime::CreationOptions options; |
| armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options)); |
| |
| std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; |
| |
| // build up the structure of the network |
| armnn::INetworkPtr net(armnn::INetwork::Create()); |
| |
| armnn::IConnectableLayer* input = net->AddInputLayer(0); |
| |
| armnn::PermuteDescriptor descriptor({0, 2, 3, 1}); |
| armnn::IConnectableLayer* permute = net->AddPermuteLayer(descriptor); |
| |
| armnn::IConnectableLayer* output = net->AddOutputLayer(0); |
| |
| input->GetOutputSlot(0).Connect(permute->GetInputSlot(0)); |
| permute->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| |
| input->GetOutputSlot(0).SetTensorInfo(armnn::TensorInfo({ 1, 1, 4, 4 }, armnn::DataType::Float32)); |
| permute->GetOutputSlot(0).SetTensorInfo(armnn::TensorInfo({ 1, 4, 1, 4 }, armnn::DataType::Float32)); |
| |
| // optimize the network |
| armnn::IOptimizedNetworkPtr optNet = armnn::Optimize(*net, backends, runtime->GetDeviceSpec()); |
| |
| for (auto&& layer : static_cast<armnn::OptimizedNetwork*>(optNet.get())->GetGraph()) |
| { |
| BOOST_CHECK(layer->GetBackendId() == armnn::Compute::CpuRef); |
| } |
| } |
| |
| BOOST_AUTO_TEST_CASE(OptimizeValidateWorkloadsCpuRefMeanLayer) |
| { |
| // Create runtime in which test will run |
| armnn::IRuntime::CreationOptions options; |
| armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options)); |
| |
| std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; |
| |
| // build up the structure of the network |
| armnn::INetworkPtr net(armnn::INetwork::Create()); |
| |
| armnn::IConnectableLayer* input = net->AddInputLayer(0); |
| |
| armnn::MeanDescriptor descriptor({ 0, 1 }, false); |
| armnn::IConnectableLayer* meanLayer = net->AddMeanLayer(descriptor); |
| |
| armnn::IConnectableLayer* output = net->AddOutputLayer(0); |
| |
| input->GetOutputSlot(0).Connect(meanLayer->GetInputSlot(0)); |
| meanLayer->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| |
| input->GetOutputSlot(0).SetTensorInfo(armnn::TensorInfo({ 4, 3, 2 }, armnn::DataType::Float32)); |
| meanLayer->GetOutputSlot(0).SetTensorInfo(armnn::TensorInfo({ 2 }, armnn::DataType::Float32)); |
| |
| // optimize the network |
| armnn::IOptimizedNetworkPtr optNet = armnn::Optimize(*net, backends, runtime->GetDeviceSpec()); |
| |
| for (auto&& layer : static_cast<armnn::OptimizedNetwork*>(optNet.get())->GetGraph()) |
| { |
| BOOST_CHECK(layer->GetBackendId() == armnn::Compute::CpuRef); |
| } |
| } |
| |
| BOOST_AUTO_TEST_CASE(DebugTestOnCpuRef) |
| { |
| armnn::Network net; |
| |
| armnn::ActivationDescriptor activation1Descriptor; |
| activation1Descriptor.m_Function = armnn::ActivationFunction::BoundedReLu; |
| activation1Descriptor.m_A = 1.f; |
| activation1Descriptor.m_B = -1.f; |
| |
| // Defines layers. |
| auto input = net.AddInputLayer(0, "InputLayer"); |
| auto activation = net.AddActivationLayer(activation1Descriptor, "ActivationLayer"); |
| auto output = net.AddOutputLayer(0, "OutputLayer"); |
| |
| // Connects layers. |
| input->GetOutputSlot(0).Connect(activation->GetInputSlot(0)); |
| activation->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| |
| armnn::TensorShape shape({4}); |
| armnn::TensorInfo info(shape, armnn::DataType::Float32); |
| input->GetOutputSlot(0).SetTensorInfo(info); |
| activation->GetOutputSlot(0).SetTensorInfo(info); |
| |
| armnn::IRuntime::CreationOptions options; |
| armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options)); |
| |
| std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; |
| |
| armnn::OptimizerOptions optimizerOptions; |
| optimizerOptions.m_Debug = true; |
| |
| armnn::IOptimizedNetworkPtr optimizedNet = armnn::Optimize(net, backends, runtime->GetDeviceSpec(), |
| optimizerOptions); |
| |
| const armnn::Graph& graph = static_cast<armnn::OptimizedNetwork*>(optimizedNet.get())->GetGraph(); |
| // Tests that all layers are present in the graph. |
| BOOST_TEST(graph.GetNumLayers() == 5); |
| |
| // Tests that the vertices exist and have correct names. |
| BOOST_TEST(GraphHasNamedLayer(graph, "InputLayer")); |
| BOOST_TEST(GraphHasNamedLayer(graph, "DebugLayerAfterInputLayer")); |
| BOOST_TEST(GraphHasNamedLayer(graph, "ActivationLayer")); |
| BOOST_TEST(GraphHasNamedLayer(graph, "DebugLayerAfterActivationLayer")); |
| BOOST_TEST(GraphHasNamedLayer(graph, "OutputLayer")); |
| } |
| |
| BOOST_AUTO_TEST_SUITE_END() |