Aron Virginas-Tar | 7010400 | 2018-10-24 15:33:28 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include <armnn/ArmNN.hpp> |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 7 | #include <Graph.hpp> |
| 8 | #include <Network.hpp> |
Aron Virginas-Tar | 7010400 | 2018-10-24 15:33:28 +0100 | [diff] [blame] | 9 | |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 10 | #include <neon/NeonWorkloadFactory.hpp> |
Aron Virginas-Tar | 7010400 | 2018-10-24 15:33:28 +0100 | [diff] [blame] | 11 | |
| 12 | #include <boost/test/unit_test.hpp> |
| 13 | |
| 14 | BOOST_AUTO_TEST_SUITE(NeonOptimizedNetwork) |
| 15 | |
| 16 | BOOST_AUTO_TEST_CASE(OptimizeValidateCpuAccDeviceSupportLayerNoFallback) |
| 17 | { |
| 18 | // build up the structure of the network |
| 19 | armnn::INetworkPtr net(armnn::INetwork::Create()); |
| 20 | |
| 21 | armnn::IConnectableLayer* input = net->AddInputLayer(0); |
| 22 | armnn::IConnectableLayer* output = net->AddOutputLayer(0); |
| 23 | |
| 24 | input->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| 25 | input->GetOutputSlot(0).SetTensorInfo(armnn::TensorInfo({ 1, 1, 4, 4 }, armnn::DataType::Float32)); |
| 26 | |
| 27 | armnn::IRuntime::CreationOptions options; |
| 28 | armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options)); |
| 29 | |
| 30 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| 31 | armnn::IOptimizedNetworkPtr optNet = armnn::Optimize(*net, backends, runtime->GetDeviceSpec()); |
| 32 | BOOST_CHECK(optNet); |
| 33 | // validate workloads |
| 34 | armnn::NeonWorkloadFactory fact; |
| 35 | for (auto&& layer : static_cast<armnn::OptimizedNetwork*>(optNet.get())->GetGraph()) |
| 36 | { |
| 37 | BOOST_CHECK(layer->GetBackendId() == armnn::Compute::CpuAcc); |
| 38 | BOOST_CHECK_NO_THROW( |
| 39 | layer->CreateWorkload(static_cast<armnn::OptimizedNetwork*>(optNet.get())->GetGraph(), fact)); |
| 40 | } |
| 41 | } |
| 42 | |
| 43 | BOOST_AUTO_TEST_CASE(OptimizeValidateDeviceNonSupportLayerNoFallback) |
| 44 | { |
| 45 | // build up the structure of the network |
| 46 | armnn::INetworkPtr net(armnn::INetwork::Create()); |
| 47 | |
| 48 | armnn::IConnectableLayer* input = net->AddInputLayer(0); |
| 49 | |
| 50 | // This layer configuration isn't supported by CpuAcc and isn't allowed to fall back, so Optimize will return null. |
| 51 | armnn::NormalizationDescriptor descriptor; |
| 52 | armnn::IConnectableLayer* normalize = net->AddNormalizationLayer(descriptor); |
| 53 | |
| 54 | armnn::IConnectableLayer* output = net->AddOutputLayer(0); |
| 55 | |
| 56 | input->GetOutputSlot(0).Connect(normalize->GetInputSlot(0)); |
| 57 | normalize->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| 58 | |
| 59 | input->GetOutputSlot(0).SetTensorInfo(armnn::TensorInfo({ 1, 1, 4, 4 }, armnn::DataType::Float32)); |
| 60 | normalize->GetOutputSlot(0).SetTensorInfo(armnn::TensorInfo({ 1, 1, 4, 4 }, armnn::DataType::Float32)); |
| 61 | |
| 62 | armnn::IRuntime::CreationOptions options; |
| 63 | armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options)); |
| 64 | |
| 65 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| 66 | armnn::IOptimizedNetworkPtr optNet = armnn::Optimize(*net, backends, runtime->GetDeviceSpec()); |
| 67 | BOOST_CHECK(!optNet); |
| 68 | } |
| 69 | |
| 70 | BOOST_AUTO_TEST_SUITE_END() |