diff options
Diffstat (limited to 'tests/ModelAccuracyTool-Armnn/ModelAccuracyTool-Armnn.cpp')
-rw-r--r-- | tests/ModelAccuracyTool-Armnn/ModelAccuracyTool-Armnn.cpp | 289 |
1 files changed, 289 insertions, 0 deletions
diff --git a/tests/ModelAccuracyTool-Armnn/ModelAccuracyTool-Armnn.cpp b/tests/ModelAccuracyTool-Armnn/ModelAccuracyTool-Armnn.cpp new file mode 100644 index 0000000000..7b968302d9 --- /dev/null +++ b/tests/ModelAccuracyTool-Armnn/ModelAccuracyTool-Armnn.cpp @@ -0,0 +1,289 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "ModelAccuracyChecker.hpp" +#include "../InferenceTest.hpp" +#include "../ImagePreprocessor.hpp" +#include "armnnDeserializer/IDeserializer.hpp" + +#include <boost/filesystem.hpp> +#include <boost/range/iterator_range.hpp> +#include <boost/program_options/variables_map.hpp> + +using namespace armnn::test; + +namespace po = boost::program_options; + +bool CheckOption(const po::variables_map& vm, + const char* option) +{ + // Check that the given option is valid. + if (option == nullptr) + { + return false; + } + + // Check whether 'option' is provided. + return vm.find(option) != vm.end(); +} + +template<typename T, typename TParseElementFunc> +std::vector<T> ParseArrayImpl(std::istream& stream, TParseElementFunc parseElementFunc, const char * chars = "\t ,:") +{ + std::vector<T> result; + // Processes line-by-line. + std::string line; + while (std::getline(stream, line)) + { + std::vector<std::string> tokens; + try + { + // Coverity fix: boost::split() may throw an exception of type boost::bad_function_call. + boost::split(tokens, line, boost::algorithm::is_any_of(chars), boost::token_compress_on); + } + catch (const std::exception& e) + { + BOOST_LOG_TRIVIAL(error) << "An error occurred when splitting tokens: " << e.what(); + continue; + } + for (const std::string& token : tokens) + { + if (!token.empty()) // See https://stackoverflow.com/questions/10437406/ + { + try + { + result.push_back(parseElementFunc(token)); + } + catch (const std::exception&) + { + BOOST_LOG_TRIVIAL(error) << "'" << token << "' is not a valid number. It has been ignored."; + } + } + } + } + + return result; +} + +map<std::string, int> LoadValidationLabels(const string & validationLabelPath); + +template<armnn::DataType NonQuantizedType> +auto ParseDataArray(std::istream & stream); + +template<> +auto ParseDataArray<armnn::DataType::Float32>(std::istream & stream) +{ + return ParseArrayImpl<float>(stream, [](const std::string& s) { return std::stof(s); }); +} + +int main(int argc, char* argv[]) +{ + try + { + using namespace boost::filesystem; + armnn::LogSeverity level = armnn::LogSeverity::Debug; + armnn::ConfigureLogging(true, true, level); + armnnUtils::ConfigureLogging(boost::log::core::get().get(), true, true, level); + + // Set-up program Options + namespace po = boost::program_options; + + std::vector<armnn::BackendId> computeDevice; + std::vector<armnn::BackendId> defaultBackends = {armnn::Compute::CpuAcc, armnn::Compute::CpuRef}; + std::string modelPath; + std::string dataDir; + std::string inputName; + std::string outputName; + std::string validationLabelPath; + + 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 to run Accuracy Tool. + desc.add_options() + ("help", "Display help messages") + ("model-path,m", po::value<std::string>(&modelPath)->required(), "Path to armnn format 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 ImageNet test data") + ("input-name,i", po::value<std::string>(&inputName)->required(), + "Identifier of the input tensors in the network separated by comma.") + ("output-name,o", po::value<std::string>(&outputName)->required(), + "Identifier of the output tensors in the network separated by comma.") + ("validation-labels-path,v", po::value<std::string>(&validationLabelPath)->required(), + "Path to ImageNet Validation Label file"); + } + 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; + } + + // 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; + } + armnn::Status status; + + // Create runtime + armnn::IRuntime::CreationOptions options; + armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options)); + std::ifstream file(modelPath); + + // Create Parser + using IParser = armnnDeserializer::IDeserializer; + auto armnnparser(IParser::Create()); + + // Create a network + armnn::INetworkPtr network = armnnparser->CreateNetworkFromBinary(file); + + // 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; + } + + // Set up Network + using BindingPointInfo = InferenceModelInternal::BindingPointInfo; + + const armnnDeserializer::BindingPointInfo& + inputBindingInfo = armnnparser->GetNetworkInputBindingInfo(0, inputName); + + std::pair<armnn::LayerBindingId, armnn::TensorInfo> + m_InputBindingInfo(inputBindingInfo.m_BindingId, inputBindingInfo.m_TensorInfo); + std::vector<BindingPointInfo> inputBindings = { m_InputBindingInfo }; + + const armnnDeserializer::BindingPointInfo& + outputBindingInfo = armnnparser->GetNetworkOutputBindingInfo(0, outputName); + + std::pair<armnn::LayerBindingId, armnn::TensorInfo> + m_OutputBindingInfo(outputBindingInfo.m_BindingId, outputBindingInfo.m_TensorInfo); + std::vector<BindingPointInfo> outputBindings = { m_OutputBindingInfo }; + + path pathToDataDir(dataDir); + map<string, int> validationLabels = LoadValidationLabels(validationLabelPath); + armnnUtils::ModelAccuracyChecker checker(validationLabels); + using TContainer = boost::variant<std::vector<float>, std::vector<int>, std::vector<uint8_t>>; + + if(ValidateDirectory(dataDir)) + { + for (auto & imageEntry : boost::make_iterator_range(directory_iterator(pathToDataDir), {})) + { + cout << "Processing image: " << imageEntry << "\n"; + + std::ifstream inputTensorFile(imageEntry.path().string()); + vector<TContainer> inputDataContainers; + inputDataContainers.push_back(ParseDataArray<armnn::DataType::Float32>(inputTensorFile)); + vector<TContainer> outputDataContainers = {vector<float>(1001)}; + + status = runtime->EnqueueWorkload(networkId, + armnnUtils::MakeInputTensors(inputBindings, inputDataContainers), + armnnUtils::MakeOutputTensors(outputBindings, outputDataContainers)); + + if (status == armnn::Status::Failure) + { + BOOST_LOG_TRIVIAL(fatal) << "armnn::IRuntime: Failed to enqueue workload for image: " << imageEntry; + } + + const std::string imageName = imageEntry.path().filename().string(); + checker.AddImageResult<TContainer>(imageName, outputDataContainers); + } + } + else + { + return 1; + } + + for(unsigned int i = 1; i <= 5; ++i) + { + std::cout << "Top " << i << " Accuracy: " << checker.GetAccuracy(i) << "%" << "\n"; + } + + BOOST_LOG_TRIVIAL(info) << "Accuracy Tool 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: ModelAccuracyTool-Armnn: An error has occurred when running the " + "Accuracy Tool: " << e.what() << std::endl; + return 1; + } +} + +map<std::string, int> LoadValidationLabels(const string & validationLabelPath) +{ + std::string imageName; + int classification; + map<std::string, int> validationLabel; + ifstream infile(validationLabelPath); + while (infile >> imageName >> classification) + { + std::string trimmedName; + size_t lastindex = imageName.find_last_of("."); + if(lastindex != std::string::npos) + { + trimmedName = imageName.substr(0, lastindex); + } + validationLabel.insert(pair<string, int>(trimmedName, classification)); + } + return validationLabel; +} |