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 | |
Aron Virginas-Tar | 5605519 | 2018-11-12 18:10:43 +0000 | [diff] [blame] | 6 | #include "NeonWorkloadFactoryHelper.hpp" |
| 7 | |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 8 | #include <Graph.hpp> |
| 9 | #include <Network.hpp> |
Aron Virginas-Tar | 7010400 | 2018-10-24 15:33:28 +0100 | [diff] [blame] | 10 | |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 11 | #include <neon/NeonWorkloadFactory.hpp> |
Aron Virginas-Tar | 7010400 | 2018-10-24 15:33:28 +0100 | [diff] [blame] | 12 | |
| 13 | #include <boost/test/unit_test.hpp> |
| 14 | |
| 15 | BOOST_AUTO_TEST_SUITE(NeonOptimizedNetwork) |
| 16 | |
| 17 | BOOST_AUTO_TEST_CASE(OptimizeValidateCpuAccDeviceSupportLayerNoFallback) |
| 18 | { |
| 19 | // build up the structure of the network |
| 20 | armnn::INetworkPtr net(armnn::INetwork::Create()); |
| 21 | |
| 22 | armnn::IConnectableLayer* input = net->AddInputLayer(0); |
| 23 | armnn::IConnectableLayer* output = net->AddOutputLayer(0); |
| 24 | |
| 25 | input->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| 26 | input->GetOutputSlot(0).SetTensorInfo(armnn::TensorInfo({ 1, 1, 4, 4 }, armnn::DataType::Float32)); |
| 27 | |
| 28 | armnn::IRuntime::CreationOptions options; |
| 29 | armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options)); |
| 30 | |
| 31 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| 32 | armnn::IOptimizedNetworkPtr optNet = armnn::Optimize(*net, backends, runtime->GetDeviceSpec()); |
| 33 | BOOST_CHECK(optNet); |
| 34 | // validate workloads |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 35 | armnn::NeonWorkloadFactory fact = |
| 36 | NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); |
| 37 | |
Aron Virginas-Tar | 7010400 | 2018-10-24 15:33:28 +0100 | [diff] [blame] | 38 | for (auto&& layer : static_cast<armnn::OptimizedNetwork*>(optNet.get())->GetGraph()) |
| 39 | { |
| 40 | BOOST_CHECK(layer->GetBackendId() == armnn::Compute::CpuAcc); |
| 41 | BOOST_CHECK_NO_THROW( |
Derek Lamberti | 94a88d2 | 2019-12-10 21:12:59 +0000 | [diff] [blame] | 42 | layer->CreateWorkload(fact)); |
Aron Virginas-Tar | 7010400 | 2018-10-24 15:33:28 +0100 | [diff] [blame] | 43 | } |
| 44 | } |
| 45 | |
| 46 | BOOST_AUTO_TEST_CASE(OptimizeValidateDeviceNonSupportLayerNoFallback) |
| 47 | { |
| 48 | // build up the structure of the network |
| 49 | armnn::INetworkPtr net(armnn::INetwork::Create()); |
| 50 | |
| 51 | armnn::IConnectableLayer* input = net->AddInputLayer(0); |
| 52 | |
| 53 | // This layer configuration isn't supported by CpuAcc and isn't allowed to fall back, so Optimize will return null. |
| 54 | armnn::NormalizationDescriptor descriptor; |
| 55 | armnn::IConnectableLayer* normalize = net->AddNormalizationLayer(descriptor); |
| 56 | |
| 57 | armnn::IConnectableLayer* output = net->AddOutputLayer(0); |
| 58 | |
| 59 | input->GetOutputSlot(0).Connect(normalize->GetInputSlot(0)); |
| 60 | normalize->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| 61 | |
| 62 | input->GetOutputSlot(0).SetTensorInfo(armnn::TensorInfo({ 1, 1, 4, 4 }, armnn::DataType::Float32)); |
| 63 | normalize->GetOutputSlot(0).SetTensorInfo(armnn::TensorInfo({ 1, 1, 4, 4 }, armnn::DataType::Float32)); |
| 64 | |
| 65 | armnn::IRuntime::CreationOptions options; |
| 66 | armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options)); |
| 67 | |
| 68 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
Mike Kelly | 3a613cc | 2020-09-29 20:50:35 +0100 | [diff] [blame] | 69 | std::vector<std::string> errMessages; |
| 70 | |
| 71 | try |
| 72 | { |
| 73 | Optimize(*net, backends, runtime->GetDeviceSpec(), armnn::OptimizerOptions(), errMessages); |
| 74 | BOOST_FAIL("Should have thrown an exception."); |
| 75 | } |
| 76 | catch (const armnn::InvalidArgumentException& e) |
| 77 | { |
| 78 | // Different exceptions are thrown on different backends |
| 79 | } |
| 80 | BOOST_CHECK(errMessages.size() > 0); |
Aron Virginas-Tar | 7010400 | 2018-10-24 15:33:28 +0100 | [diff] [blame] | 81 | } |
| 82 | |
Sadik Armagan | 045f6be | 2020-09-10 13:37:32 +0100 | [diff] [blame] | 83 | BOOST_AUTO_TEST_CASE(FastMathEnabledTestOnCpuAcc) |
| 84 | { |
| 85 | armnn::INetworkPtr net(armnn::INetwork::Create()); |
| 86 | |
| 87 | armnn::IConnectableLayer* input = net->AddInputLayer(0); |
| 88 | armnn::IConnectableLayer* output = net->AddOutputLayer(0); |
| 89 | |
| 90 | input->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| 91 | input->GetOutputSlot(0).SetTensorInfo(armnn::TensorInfo({ 1, 1, 4, 4 }, armnn::DataType::Float32)); |
| 92 | |
| 93 | armnn::IRuntime::CreationOptions options; |
| 94 | armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options)); |
| 95 | |
| 96 | std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc}; |
| 97 | armnn::OptimizerOptions optimizerOptions; |
| 98 | armnn::BackendOptions modelOptions("CpuAcc", {{"FastMathEnabled", true}}); |
| 99 | optimizerOptions.m_ModelOptions.push_back(modelOptions); |
| 100 | |
| 101 | armnn::IOptimizedNetworkPtr optimizedNet = armnn::Optimize( |
| 102 | *net, backends, runtime->GetDeviceSpec(), optimizerOptions); |
| 103 | |
| 104 | BOOST_CHECK(optimizedNet); |
| 105 | |
| 106 | auto modelOptionsOut = static_cast<armnn::OptimizedNetwork*>(optimizedNet.get())->GetModelOptions(); |
| 107 | |
| 108 | BOOST_TEST(modelOptionsOut.size() == 1); |
| 109 | BOOST_TEST(modelOptionsOut[0].GetOption(0).GetName() == "FastMathEnabled"); |
| 110 | BOOST_TEST(modelOptionsOut[0].GetOption(0).GetValue().AsBool() == true); |
| 111 | } |
| 112 | |
Aron Virginas-Tar | 7010400 | 2018-10-24 15:33:28 +0100 | [diff] [blame] | 113 | BOOST_AUTO_TEST_SUITE_END() |