| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| #pragma once |
| |
| #include "LstmCommon.hpp" |
| |
| #include <memory> |
| #include <string> |
| #include <vector> |
| |
| #include <armnn/TypesUtils.hpp> |
| #include <backendsCommon/test/QuantizeHelper.hpp> |
| |
| #include <boost/log/trivial.hpp> |
| #include <boost/numeric/conversion/cast.hpp> |
| |
| #include <array> |
| #include <string> |
| |
| #include "InferenceTestImage.hpp" |
| |
| namespace |
| { |
| |
| 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; |
| } |
| |
| template<armnn::DataType NonQuantizedType> |
| auto ParseDataArray(std::istream & stream); |
| |
| template<armnn::DataType QuantizedType> |
| auto ParseDataArray(std::istream& stream, |
| const float& quantizationScale, |
| const int32_t& quantizationOffset); |
| |
| // NOTE: declaring the template specialisations inline to prevent them |
| // being flagged as unused functions when -Werror=unused-function is in effect |
| template<> |
| inline auto ParseDataArray<armnn::DataType::Float32>(std::istream & stream) |
| { |
| return ParseArrayImpl<float>(stream, [](const std::string& s) { return std::stof(s); }); |
| } |
| |
| template<> |
| inline auto ParseDataArray<armnn::DataType::Signed32>(std::istream & stream) |
| { |
| return ParseArrayImpl<int>(stream, [](const std::string & s) { return std::stoi(s); }); |
| } |
| |
| template<> |
| inline auto ParseDataArray<armnn::DataType::QuantisedAsymm8>(std::istream& stream, |
| const float& quantizationScale, |
| const int32_t& quantizationOffset) |
| { |
| return ParseArrayImpl<uint8_t>(stream, |
| [&quantizationScale, &quantizationOffset](const std::string & s) |
| { |
| return boost::numeric_cast<uint8_t>( |
| armnn::Quantize<u_int8_t>(std::stof(s), |
| quantizationScale, |
| quantizationOffset)); |
| }); |
| } |
| |
| struct DeepSpeechV1TestCaseData |
| { |
| DeepSpeechV1TestCaseData( |
| const LstmInput& inputData, |
| const LstmInput& expectedOutputData) |
| : m_InputData(inputData) |
| , m_ExpectedOutputData(expectedOutputData) |
| {} |
| |
| LstmInput m_InputData; |
| LstmInput m_ExpectedOutputData; |
| }; |
| |
| class DeepSpeechV1Database |
| { |
| public: |
| explicit DeepSpeechV1Database(const std::string& inputSeqDir, const std::string& prevStateHDir, |
| const std::string& prevStateCDir, const std::string& logitsDir, |
| const std::string& newStateHDir, const std::string& newStateCDir); |
| |
| std::unique_ptr<DeepSpeechV1TestCaseData> GetTestCaseData(unsigned int testCaseId); |
| |
| private: |
| std::string m_InputSeqDir; |
| std::string m_PrevStateHDir; |
| std::string m_PrevStateCDir; |
| std::string m_LogitsDir; |
| std::string m_NewStateHDir; |
| std::string m_NewStateCDir; |
| }; |
| |
| DeepSpeechV1Database::DeepSpeechV1Database(const std::string& inputSeqDir, const std::string& prevStateHDir, |
| const std::string& prevStateCDir, const std::string& logitsDir, |
| const std::string& newStateHDir, const std::string& newStateCDir) |
| : m_InputSeqDir(inputSeqDir) |
| , m_PrevStateHDir(prevStateHDir) |
| , m_PrevStateCDir(prevStateCDir) |
| , m_LogitsDir(logitsDir) |
| , m_NewStateHDir(newStateHDir) |
| , m_NewStateCDir(newStateCDir) |
| {} |
| |
| std::unique_ptr<DeepSpeechV1TestCaseData> DeepSpeechV1Database::GetTestCaseData(unsigned int testCaseId) |
| { |
| // Load test case input |
| const std::string inputSeqPath = m_InputSeqDir + "input_node_0_flat.txt"; |
| const std::string prevStateCPath = m_PrevStateCDir + "previous_state_c_0.txt"; |
| const std::string prevStateHPath = m_PrevStateHDir + "previous_state_h_0.txt"; |
| |
| std::vector<float> inputSeqData; |
| std::vector<float> prevStateCData; |
| std::vector<float> prevStateHData; |
| |
| std::ifstream inputSeqFile(inputSeqPath); |
| std::ifstream prevStateCTensorFile(prevStateCPath); |
| std::ifstream prevStateHTensorFile(prevStateHPath); |
| |
| try |
| { |
| inputSeqData = ParseDataArray<armnn::DataType::Float32>(inputSeqFile); |
| prevStateCData = ParseDataArray<armnn::DataType::Float32>(prevStateCTensorFile); |
| prevStateHData = ParseDataArray<armnn::DataType::Float32>(prevStateHTensorFile); |
| } |
| catch (const InferenceTestImageException& e) |
| { |
| BOOST_LOG_TRIVIAL(fatal) << "Failed to load image for test case " << testCaseId << ". Error: " << e.what(); |
| return nullptr; |
| } |
| |
| // Prepare test case expected output |
| const std::string logitsPath = m_LogitsDir + "logits.txt"; |
| const std::string newStateCPath = m_NewStateCDir + "new_state_c.txt"; |
| const std::string newStateHPath = m_NewStateHDir + "new_state_h.txt"; |
| |
| std::vector<float> logitsData; |
| std::vector<float> expectedNewStateCData; |
| std::vector<float> expectedNewStateHData; |
| |
| std::ifstream logitsTensorFile(logitsPath); |
| std::ifstream newStateCTensorFile(newStateCPath); |
| std::ifstream newStateHTensorFile(newStateHPath); |
| |
| try |
| { |
| logitsData = ParseDataArray<armnn::DataType::Float32>(logitsTensorFile); |
| expectedNewStateCData = ParseDataArray<armnn::DataType::Float32>(newStateCTensorFile); |
| expectedNewStateHData = ParseDataArray<armnn::DataType::Float32>(newStateHTensorFile); |
| } |
| catch (const InferenceTestImageException& e) |
| { |
| BOOST_LOG_TRIVIAL(fatal) << "Failed to load image for test case " << testCaseId << ". Error: " << e.what(); |
| return nullptr; |
| } |
| |
| // use the struct for representing input and output data |
| LstmInput inputDataSingleTest(inputSeqData, prevStateHData, prevStateCData); |
| |
| LstmInput expectedOutputsSingleTest(logitsData, expectedNewStateHData, expectedNewStateCData); |
| |
| return std::make_unique<DeepSpeechV1TestCaseData>(inputDataSingleTest, expectedOutputsSingleTest); |
| } |
| |
| } // anonymous namespace |
| |