| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "ClWorkloadFactoryHelper.hpp" |
| |
| #include <Network.hpp> |
| |
| #include <test/GraphUtils.hpp> |
| |
| #include <cl/ClWorkloadFactory.hpp> |
| |
| #include <boost/test/unit_test.hpp> |
| |
| BOOST_AUTO_TEST_SUITE(ClOptimizedNetwork) |
| |
| BOOST_AUTO_TEST_CASE(OptimizeValidateGpuDeviceSupportLayerNoFallback) |
| { |
| // build up the structure of the network |
| armnn::INetworkPtr net(armnn::INetwork::Create()); |
| |
| armnn::IConnectableLayer* input = net->AddInputLayer(0); |
| armnn::IConnectableLayer* output = net->AddOutputLayer(0); |
| |
| input->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| input->GetOutputSlot(0).SetTensorInfo(armnn::TensorInfo({ 1, 1, 4, 4 }, armnn::DataType::Float32)); |
| |
| armnn::IRuntime::CreationOptions options; |
| armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options)); |
| |
| std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| armnn::IOptimizedNetworkPtr optNet = armnn::Optimize(*net, backends, runtime->GetDeviceSpec()); |
| BOOST_CHECK(optNet); |
| // validate workloads |
| armnn::ClWorkloadFactory fact = |
| ClWorkloadFactoryHelper::GetFactory(ClWorkloadFactoryHelper::GetMemoryManager()); |
| for (auto&& layer : static_cast<armnn::OptimizedNetwork*>(optNet.get())->GetGraph()) |
| { |
| BOOST_CHECK(layer->GetBackendId() == armnn::Compute::GpuAcc); |
| BOOST_CHECK_NO_THROW( |
| layer->CreateWorkload(fact)); |
| } |
| } |
| |
| BOOST_AUTO_TEST_CASE(FP16TurboModeTestOnGpuAcc) |
| { |
| // Test to check when Fp16 Turbo mode set |
| // it converts the Fp32 network to Fp16 Network |
| // add Fp32ToFp16 conversion layer after the InputLayer |
| // add Fp16ToFp32 conversion layer after the OutputLayer |
| // checks the other layers if they are supported in Fp16 |
| // if they are not put the conversion layers before and after |
| // if they are not supported in Fp16 use Fp32 instead |
| // if there are inverse conversion layers remove them with optimization |
| // at the moment FloorLayer is not supported in Fp16 so it rolls back to Fp32 |
| // and inverse conversion layers are removed by the optimizer |
| armnn::Network net; |
| |
| // Defines layers. |
| auto input = net.AddInputLayer(0, "input layer"); |
| // ReLu1 |
| armnn::ActivationDescriptor activation1Descriptor; |
| activation1Descriptor.m_Function = armnn::ActivationFunction::BoundedReLu; |
| activation1Descriptor.m_A = 1.f; |
| activation1Descriptor.m_B = -1.f; |
| auto activation = net.AddActivationLayer(activation1Descriptor, "activation layer"); |
| auto output = net.AddOutputLayer(0, "output layer"); |
| |
| // 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::GpuAcc}; |
| |
| armnn::OptimizerOptions optimizerOptions; |
| optimizerOptions.m_ReduceFp32ToFp16 = 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, "input layer")); |
| BOOST_TEST(GraphHasNamedLayer(graph, "convert_fp32_to_fp16-0-input layer")); |
| BOOST_TEST(GraphHasNamedLayer(graph, "activation layer")); |
| BOOST_TEST(GraphHasNamedLayer(graph, "convert_fp16_to_fp32-0-output layer")); |
| BOOST_TEST(GraphHasNamedLayer(graph, "output layer")); |
| } |
| |
| BOOST_AUTO_TEST_SUITE_END(); |