| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #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" |
| |
| #include <cxxopts/cxxopts.hpp> |
| |
| #include <iostream> |
| #include <chrono> |
| #include <vector> |
| #include <array> |
| |
| |
| 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); |
| |
| std::vector<armnn::BackendId> computeDevice; |
| std::string modelDir; |
| std::string dataDir; |
| |
| const std::string backendsMessage = "Which device to run layers on by default. Possible choices: " |
| + armnn::BackendRegistryInstance().GetBackendIdsAsString(); |
| |
| cxxopts::Options in_options("MultipleNetworksCifar10", |
| "Run multiple networks inference tests using Cifar-10 data."); |
| |
| try |
| { |
| // Adds generic options needed for all inference tests. |
| in_options.add_options() |
| ("h,help", "Display help messages") |
| ("m,model-dir", "Path to directory containing the Cifar10 model file", |
| cxxopts::value<std::string>(modelDir)) |
| ("c,compute", backendsMessage.c_str(), |
| cxxopts::value<std::vector<armnn::BackendId>>(computeDevice)->default_value("CpuAcc,CpuRef")) |
| ("d,data-dir", "Path to directory containing the Cifar10 test data", |
| cxxopts::value<std::string>(dataDir)); |
| |
| auto result = in_options.parse(argc, argv); |
| |
| if(result.count("help") > 0) |
| { |
| std::cout << in_options.help() << std::endl; |
| return EXIT_FAILURE; |
| } |
| |
| //ensure mandatory parameters given |
| std::string mandatorySingleParameters[] = {"model-dir", "data-dir"}; |
| for (auto param : mandatorySingleParameters) |
| { |
| if(result.count(param) > 0) |
| { |
| std::string dir = result[param].as<std::string>(); |
| |
| if(!ValidateDirectory(dir)) { |
| return EXIT_FAILURE; |
| } |
| } else { |
| std::cerr << "Parameter \'--" << param << "\' is required but missing." << std::endl; |
| return EXIT_FAILURE; |
| } |
| } |
| } |
| catch (const cxxopts::OptionException& e) |
| { |
| std::cerr << e.what() << std::endl << in_options.help() << std::endl; |
| return EXIT_FAILURE; |
| } |
| |
| fs::path modelPath = fs::path(modelDir + "/cifar10_full_iter_60000.caffemodel"); |
| |
| // Create runtime |
| // This will also load dynamic backend in case that the dynamic backend path is specified |
| armnn::IRuntime::CreationOptions options; |
| armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options)); |
| |
| // Check if the requested backend are all valid |
| std::string invalidBackends; |
| if (!CheckRequestedBackendsAreValid(computeDevice, armnn::Optional<std::string&>(invalidBackends))) |
| { |
| ARMNN_LOG(fatal) << "The list of preferred devices contains invalid backend IDs: " |
| << invalidBackends; |
| return EXIT_FAILURE; |
| } |
| |
| // 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 (const armnn::Exception& e) |
| { |
| std::stringstream message; |
| message << "armnn::Exception ("<<e.what()<<") caught from optimize."; |
| ARMNN_LOG(fatal) << message.str(); |
| return EXIT_FAILURE; |
| } |
| |
| // Loads the network into the runtime. |
| armnn::NetworkId networkId; |
| status = runtime->LoadNetwork(networkId, std::move(optimizedNet)); |
| if (status == armnn::Status::Failure) |
| { |
| ARMNN_LOG(fatal) << "armnn::IRuntime: Failed to load network"; |
| return EXIT_FAILURE; |
| } |
| |
| networks.emplace_back(networkId, |
| parser->GetNetworkInputBindingInfo("data"), |
| parser->GetNetworkOutputBindingInfo("prob")); |
| } |
| |
| // Loads a test case and tests inference. |
| if (!ValidateDirectory(dataDir)) |
| { |
| return EXIT_FAILURE; |
| } |
| Cifar10Database cifar10(dataDir); |
| |
| 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, |
| armnnUtils::MakeInputTensors(inputBindings, inputDataContainers), |
| armnnUtils::MakeOutputTensors(outputBindings, outputDataContainers)); |
| if (status == armnn::Status::Failure) |
| { |
| ARMNN_LOG(fatal) << "armnn::IRuntime: Failed to enqueue workload"; |
| return EXIT_FAILURE; |
| } |
| } |
| |
| // Compares outputs. |
| std::vector<float> output0 = mapbox::util::get<std::vector<float>>(outputs[0]); |
| |
| for (unsigned int k = 1; k < networksCount; ++k) |
| { |
| std::vector<float> outputK = mapbox::util::get<std::vector<float>>(outputs[k]); |
| |
| if (!std::equal(output0.begin(), output0.end(), outputK.begin(), outputK.end())) |
| { |
| ARMNN_LOG(error) << "Multiple networks inference failed!"; |
| return EXIT_FAILURE; |
| } |
| } |
| } |
| |
| ARMNN_LOG(info) << "Multiple networks inference ran successfully!"; |
| return EXIT_SUCCESS; |
| } |
| catch (const armnn::Exception& 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 EXIT_FAILURE; |
| } |
| 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 EXIT_FAILURE; |
| } |
| } |