| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| #include <iostream> |
| #include <chrono> |
| #include <vector> |
| #include <array> |
| #include <boost/log/trivial.hpp> |
| |
| #include "armnn/ArmNN.hpp" |
| #include "armnn/Utils.hpp" |
| #include "armnn/INetwork.hpp" |
| #include "armnnCaffeParser/ICaffeParser.hpp" |
| #include "../Cifar10Database.hpp" |
| #include "../InferenceTest.hpp" |
| #include "../InferenceModel.hpp" |
| |
| using namespace std; |
| using namespace std::chrono; |
| using namespace armnn::test; |
| |
| int main(int argc, char* argv[]) |
| { |
| #ifdef NDEBUG |
| armnn::LogSeverity level = armnn::LogSeverity::Info; |
| #else |
| armnn::LogSeverity level = armnn::LogSeverity::Debug; |
| #endif |
| |
| try |
| { |
| // Configures logging for both the ARMNN library and this test program. |
| armnn::ConfigureLogging(true, true, level); |
| armnnUtils::ConfigureLogging(boost::log::core::get().get(), true, true, level); |
| |
| namespace po = boost::program_options; |
| |
| std::vector<armnn::BackendId> computeDevice; |
| std::vector<armnn::BackendId> defaultBackends = {armnn::Compute::CpuAcc, armnn::Compute::CpuRef}; |
| std::string modelDir; |
| std::string dataDir; |
| |
| const std::string backendsMessage = "Which device to run layers on by default. Possible choices: " |
| + armnn::BackendRegistryInstance().GetBackendIdsAsString(); |
| |
| po::options_description desc("Options"); |
| try |
| { |
| // Adds generic options needed for all inference tests. |
| desc.add_options() |
| ("help", "Display help messages") |
| ("model-dir,m", po::value<std::string>(&modelDir)->required(), |
| "Path to directory containing the Cifar10 model file") |
| ("compute,c", po::value<std::vector<armnn::BackendId>>(&computeDevice)->default_value(defaultBackends), |
| backendsMessage.c_str()) |
| ("data-dir,d", po::value<std::string>(&dataDir)->required(), |
| "Path to directory containing the Cifar10 test data"); |
| } |
| catch (const std::exception& e) |
| { |
| // Coverity points out that default_value(...) can throw a bad_lexical_cast, |
| // and that desc.add_options() can throw boost::io::too_few_args. |
| // They really won't in any of these cases. |
| BOOST_ASSERT_MSG(false, "Caught unexpected exception"); |
| std::cerr << "Fatal internal error: " << e.what() << std::endl; |
| return 1; |
| } |
| |
| po::variables_map vm; |
| |
| try |
| { |
| po::store(po::parse_command_line(argc, argv, desc), vm); |
| |
| if (vm.count("help")) |
| { |
| std::cout << desc << std::endl; |
| return 1; |
| } |
| |
| po::notify(vm); |
| } |
| catch (po::error& e) |
| { |
| std::cerr << e.what() << std::endl << std::endl; |
| std::cerr << desc << std::endl; |
| return 1; |
| } |
| |
| if (!ValidateDirectory(modelDir)) |
| { |
| return 1; |
| } |
| string modelPath = modelDir + "cifar10_full_iter_60000.caffemodel"; |
| |
| // Check if the requested backend are all valid |
| std::string invalidBackends; |
| if (!CheckRequestedBackendsAreValid(computeDevice, armnn::Optional<std::string&>(invalidBackends))) |
| { |
| BOOST_LOG_TRIVIAL(fatal) << "The list of preferred devices contains invalid backend IDs: " |
| << invalidBackends; |
| return EXIT_FAILURE; |
| } |
| |
| // Create runtime |
| armnn::IRuntime::CreationOptions options; |
| armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options)); |
| |
| // Loads networks. |
| armnn::Status status; |
| struct Net |
| { |
| Net(armnn::NetworkId netId, |
| const std::pair<armnn::LayerBindingId, armnn::TensorInfo>& in, |
| const std::pair<armnn::LayerBindingId, armnn::TensorInfo>& out) |
| : m_Network(netId) |
| , m_InputBindingInfo(in) |
| , m_OutputBindingInfo(out) |
| {} |
| |
| armnn::NetworkId m_Network; |
| std::pair<armnn::LayerBindingId, armnn::TensorInfo> m_InputBindingInfo; |
| std::pair<armnn::LayerBindingId, armnn::TensorInfo> m_OutputBindingInfo; |
| }; |
| std::vector<Net> networks; |
| |
| armnnCaffeParser::ICaffeParserPtr parser(armnnCaffeParser::ICaffeParser::Create()); |
| |
| const int networksCount = 4; |
| for (int i = 0; i < networksCount; ++i) |
| { |
| // Creates a network from a file on the disk. |
| armnn::INetworkPtr network = parser->CreateNetworkFromBinaryFile(modelPath.c_str(), {}, { "prob" }); |
| |
| // Optimizes the network. |
| armnn::IOptimizedNetworkPtr optimizedNet(nullptr, nullptr); |
| try |
| { |
| optimizedNet = armnn::Optimize(*network, computeDevice, runtime->GetDeviceSpec()); |
| } |
| catch (armnn::Exception& e) |
| { |
| std::stringstream message; |
| message << "armnn::Exception ("<<e.what()<<") caught from optimize."; |
| BOOST_LOG_TRIVIAL(fatal) << message.str(); |
| return 1; |
| } |
| |
| // Loads the network into the runtime. |
| armnn::NetworkId networkId; |
| status = runtime->LoadNetwork(networkId, std::move(optimizedNet)); |
| if (status == armnn::Status::Failure) |
| { |
| BOOST_LOG_TRIVIAL(fatal) << "armnn::IRuntime: Failed to load network"; |
| return 1; |
| } |
| |
| networks.emplace_back(networkId, |
| parser->GetNetworkInputBindingInfo("data"), |
| parser->GetNetworkOutputBindingInfo("prob")); |
| } |
| |
| // Loads a test case and tests inference. |
| if (!ValidateDirectory(dataDir)) |
| { |
| return 1; |
| } |
| Cifar10Database cifar10(dataDir); |
| |
| using TContainer = boost::variant<std::vector<float>, std::vector<int>, std::vector<unsigned char>>; |
| |
| for (unsigned int i = 0; i < 3; ++i) |
| { |
| // Loads test case data (including image data). |
| std::unique_ptr<Cifar10Database::TTestCaseData> testCaseData = cifar10.GetTestCaseData(i); |
| |
| // Tests inference. |
| std::vector<TContainer> outputs; |
| outputs.reserve(networksCount); |
| |
| for (unsigned int j = 0; j < networksCount; ++j) |
| { |
| outputs.push_back(std::vector<float>(10)); |
| } |
| |
| for (unsigned int k = 0; k < networksCount; ++k) |
| { |
| std::vector<armnn::BindingPointInfo> inputBindings = { networks[k].m_InputBindingInfo }; |
| std::vector<armnn::BindingPointInfo> outputBindings = { networks[k].m_OutputBindingInfo }; |
| |
| std::vector<TContainer> inputDataContainers = { testCaseData->m_InputImage }; |
| std::vector<TContainer> outputDataContainers = { outputs[k] }; |
| |
| status = runtime->EnqueueWorkload(networks[k].m_Network, |
| MakeInputTensors(inputBindings, inputDataContainers), |
| MakeOutputTensors(outputBindings, outputDataContainers)); |
| if (status == armnn::Status::Failure) |
| { |
| BOOST_LOG_TRIVIAL(fatal) << "armnn::IRuntime: Failed to enqueue workload"; |
| return 1; |
| } |
| } |
| |
| // Compares outputs. |
| std::vector<float> output0 = boost::get<std::vector<float>>(outputs[0]); |
| |
| for (unsigned int k = 1; k < networksCount; ++k) |
| { |
| std::vector<float> outputK = boost::get<std::vector<float>>(outputs[k]); |
| |
| if (!std::equal(output0.begin(), output0.end(), outputK.begin(), outputK.end())) |
| { |
| BOOST_LOG_TRIVIAL(error) << "Multiple networks inference failed!"; |
| return 1; |
| } |
| } |
| } |
| |
| BOOST_LOG_TRIVIAL(info) << "Multiple networks inference ran successfully!"; |
| return 0; |
| } |
| catch (armnn::Exception const& e) |
| { |
| // Coverity fix: BOOST_LOG_TRIVIAL (typically used to report errors) may throw an |
| // exception of type std::length_error. |
| // Using stderr instead in this context as there is no point in nesting try-catch blocks here. |
| std::cerr << "Armnn Error: " << e.what() << std::endl; |
| return 1; |
| } |
| catch (const std::exception& e) |
| { |
| // Coverity fix: various boost exceptions can be thrown by methods called by this test. |
| std::cerr << "WARNING: MultipleNetworksCifar10: An error has occurred when running the " |
| "multiple networks inference tests: " << e.what() << std::endl; |
| return 1; |
| } |
| } |