Jan Eilers | 4527490 | 2020-10-15 18:34:43 +0100 | [diff] [blame] | 1 | // |
Nikhil Raj Arm | f4ccb1f | 2022-07-05 09:29:18 +0000 | [diff] [blame] | 2 | // Copyright © 2020 Arm Ltd and Contributors. All rights reserved. |
Jan Eilers | 4527490 | 2020-10-15 18:34:43 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "NetworkExecutionUtils.hpp" |
| 7 | |
Rob Hughes | 9542f90 | 2021-07-14 09:48:54 +0100 | [diff] [blame] | 8 | #include <armnnUtils/Filesystem.hpp> |
Nikhil Raj Arm | f4ccb1f | 2022-07-05 09:29:18 +0000 | [diff] [blame] | 9 | #include <InferenceTest.hpp> |
| 10 | #include <ResolveType.hpp> |
| 11 | |
| 12 | #if defined(ARMNN_SERIALIZER) |
| 13 | #include "armnnDeserializer/IDeserializer.hpp" |
| 14 | #endif |
| 15 | #if defined(ARMNN_TF_LITE_PARSER) |
| 16 | #include "armnnTfLiteParser/ITfLiteParser.hpp" |
| 17 | #endif |
| 18 | #if defined(ARMNN_ONNX_PARSER) |
| 19 | #include "armnnOnnxParser/IOnnxParser.hpp" |
| 20 | #endif |
| 21 | |
| 22 | template<armnn::DataType NonQuantizedType> |
| 23 | auto ParseDataArray(std::istream& stream); |
| 24 | |
| 25 | template<armnn::DataType QuantizedType> |
| 26 | auto ParseDataArray(std::istream& stream, |
| 27 | const float& quantizationScale, |
| 28 | const int32_t& quantizationOffset); |
| 29 | |
| 30 | template<> |
| 31 | auto ParseDataArray<armnn::DataType::Float32>(std::istream& stream) |
| 32 | { |
| 33 | return ParseArrayImpl<float>(stream, [](const std::string& s) { return std::stof(s); }); |
| 34 | } |
| 35 | |
| 36 | template<> |
| 37 | auto ParseDataArray<armnn::DataType::Signed32>(std::istream& stream) |
| 38 | { |
| 39 | return ParseArrayImpl<int>(stream, [](const std::string& s) { return std::stoi(s); }); |
| 40 | } |
| 41 | |
| 42 | template<> |
| 43 | auto ParseDataArray<armnn::DataType::QAsymmS8>(std::istream& stream) |
| 44 | { |
| 45 | return ParseArrayImpl<int8_t>(stream, |
| 46 | [](const std::string& s) { return armnn::numeric_cast<int8_t>(std::stoi(s)); }); |
| 47 | } |
| 48 | |
| 49 | template<> |
| 50 | auto ParseDataArray<armnn::DataType::QAsymmU8>(std::istream& stream) |
| 51 | { |
| 52 | return ParseArrayImpl<uint8_t>(stream, |
| 53 | [](const std::string& s) { return armnn::numeric_cast<uint8_t>(std::stoi(s)); }); |
| 54 | } |
| 55 | |
| 56 | |
| 57 | template<> |
| 58 | auto ParseDataArray<armnn::DataType::QSymmS8>(std::istream& stream) |
| 59 | { |
| 60 | return ParseArrayImpl<int8_t>(stream, |
| 61 | [](const std::string& s) { return armnn::numeric_cast<int8_t>(std::stoi(s)); }); |
| 62 | } |
| 63 | |
| 64 | template<> |
| 65 | auto ParseDataArray<armnn::DataType::QAsymmS8>(std::istream& stream, |
| 66 | const float& quantizationScale, |
| 67 | const int32_t& quantizationOffset) |
| 68 | { |
| 69 | return ParseArrayImpl<int8_t>(stream, |
| 70 | [&quantizationScale, &quantizationOffset](const std::string& s) |
| 71 | { |
| 72 | return armnn::numeric_cast<int8_t>( |
| 73 | armnn::Quantize<int8_t>(std::stof(s), |
| 74 | quantizationScale, |
| 75 | quantizationOffset)); |
| 76 | }); |
| 77 | } |
| 78 | |
| 79 | template<> |
| 80 | auto ParseDataArray<armnn::DataType::QAsymmU8>(std::istream& stream, |
| 81 | const float& quantizationScale, |
| 82 | const int32_t& quantizationOffset) |
| 83 | { |
| 84 | return ParseArrayImpl<uint8_t>(stream, |
| 85 | [&quantizationScale, &quantizationOffset](const std::string& s) |
| 86 | { |
| 87 | return armnn::numeric_cast<uint8_t>( |
| 88 | armnn::Quantize<uint8_t>(std::stof(s), |
| 89 | quantizationScale, |
| 90 | quantizationOffset)); |
| 91 | }); |
| 92 | } |
| 93 | |
| 94 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 95 | std::vector<T> GenerateDummyTensorData(unsigned int numElements) |
| 96 | { |
| 97 | return std::vector<T>(numElements, static_cast<T>(0)); |
| 98 | } |
| 99 | |
| 100 | |
| 101 | std::vector<unsigned int> ParseArray(std::istream& stream) |
| 102 | { |
| 103 | return ParseArrayImpl<unsigned int>( |
| 104 | stream, |
| 105 | [](const std::string& s) { return armnn::numeric_cast<unsigned int>(std::stoi(s)); }); |
| 106 | } |
| 107 | |
Jan Eilers | 4527490 | 2020-10-15 18:34:43 +0100 | [diff] [blame] | 108 | std::vector<std::string> ParseStringList(const std::string& inputString, const char* delimiter) |
| 109 | { |
| 110 | std::stringstream stream(inputString); |
| 111 | return ParseArrayImpl<std::string>(stream, [](const std::string& s) { |
| 112 | return armnn::stringUtils::StringTrimCopy(s); }, delimiter); |
| 113 | } |
| 114 | |
Nikhil Raj Arm | f4ccb1f | 2022-07-05 09:29:18 +0000 | [diff] [blame] | 115 | |
| 116 | TensorPrinter::TensorPrinter(const std::string& binding, |
| 117 | const armnn::TensorInfo& info, |
| 118 | const std::string& outputTensorFile, |
| 119 | bool dequantizeOutput, |
| 120 | const bool printToConsole) |
| 121 | : m_OutputBinding(binding) |
| 122 | , m_Scale(info.GetQuantizationScale()) |
| 123 | , m_Offset(info.GetQuantizationOffset()) |
| 124 | , m_OutputTensorFile(outputTensorFile) |
| 125 | , m_DequantizeOutput(dequantizeOutput) |
| 126 | , m_PrintToConsole(printToConsole) {} |
| 127 | |
| 128 | void TensorPrinter::operator()(const std::vector<float>& values) |
Jan Eilers | 4527490 | 2020-10-15 18:34:43 +0100 | [diff] [blame] | 129 | { |
Nikhil Raj Arm | f4ccb1f | 2022-07-05 09:29:18 +0000 | [diff] [blame] | 130 | if (m_PrintToConsole) |
Jan Eilers | 4527490 | 2020-10-15 18:34:43 +0100 | [diff] [blame] | 131 | { |
Nikhil Raj Arm | f4ccb1f | 2022-07-05 09:29:18 +0000 | [diff] [blame] | 132 | std::cout << m_OutputBinding << ": "; |
| 133 | ForEachValue(values, [](float value) |
Jan Eilers | 284b5d1 | 2021-09-07 12:46:15 +0100 | [diff] [blame] | 134 | { |
Nikhil Raj Arm | f4ccb1f | 2022-07-05 09:29:18 +0000 | [diff] [blame] | 135 | printf("%f ", value); |
| 136 | }); |
| 137 | printf("\n"); |
| 138 | } |
| 139 | WriteToFile(values); |
| 140 | } |
| 141 | |
| 142 | void TensorPrinter::operator()(const std::vector<uint8_t>& values) |
| 143 | { |
| 144 | if(m_DequantizeOutput) |
| 145 | { |
| 146 | auto& scale = m_Scale; |
| 147 | auto& offset = m_Offset; |
| 148 | std::vector<float> dequantizedValues; |
| 149 | ForEachValue(values, [&scale, &offset, &dequantizedValues](uint8_t value) |
| 150 | { |
| 151 | auto dequantizedValue = armnn::Dequantize(value, scale, offset); |
| 152 | dequantizedValues.push_back(dequantizedValue); |
| 153 | }); |
| 154 | |
| 155 | if (m_PrintToConsole) |
| 156 | { |
| 157 | std::cout << m_OutputBinding << ": "; |
| 158 | ForEachValue(dequantizedValues, [](float value) |
| 159 | { |
| 160 | printf("%f ", value); |
| 161 | }); |
| 162 | printf("\n"); |
| 163 | } |
| 164 | |
| 165 | WriteToFile(dequantizedValues); |
| 166 | } |
| 167 | else |
| 168 | { |
| 169 | const std::vector<int> intValues(values.begin(), values.end()); |
| 170 | operator()(intValues); |
| 171 | } |
| 172 | } |
| 173 | |
| 174 | void TensorPrinter::operator()(const std::vector<int8_t>& values) |
| 175 | { |
| 176 | if (m_PrintToConsole) |
| 177 | { |
| 178 | std::cout << m_OutputBinding << ": "; |
| 179 | ForEachValue(values, [](int8_t value) |
| 180 | { |
| 181 | printf("%d ", value); |
| 182 | }); |
| 183 | printf("\n"); |
| 184 | } |
| 185 | WriteToFile(values); |
| 186 | } |
| 187 | |
| 188 | void TensorPrinter::operator()(const std::vector<int>& values) |
| 189 | { |
| 190 | if (m_PrintToConsole) |
| 191 | { |
| 192 | std::cout << m_OutputBinding << ": "; |
| 193 | ForEachValue(values, [](int value) |
| 194 | { |
| 195 | printf("%d ", value); |
| 196 | }); |
| 197 | printf("\n"); |
| 198 | } |
| 199 | WriteToFile(values); |
| 200 | } |
| 201 | |
| 202 | template<typename Container, typename Delegate> |
| 203 | void TensorPrinter::ForEachValue(const Container& c, Delegate delegate) |
| 204 | { |
| 205 | for (const auto& value : c) |
| 206 | { |
| 207 | delegate(value); |
| 208 | } |
| 209 | } |
| 210 | |
| 211 | template<typename T> |
| 212 | void TensorPrinter::WriteToFile(const std::vector<T>& values) |
| 213 | { |
| 214 | if (!m_OutputTensorFile.empty()) |
| 215 | { |
| 216 | std::ofstream outputTensorFile; |
| 217 | outputTensorFile.open(m_OutputTensorFile, std::ofstream::out | std::ofstream::trunc); |
| 218 | if (outputTensorFile.is_open()) |
| 219 | { |
| 220 | outputTensorFile << m_OutputBinding << ": "; |
| 221 | std::copy(values.begin(), values.end(), std::ostream_iterator<T>(outputTensorFile, " ")); |
| 222 | } |
| 223 | else |
| 224 | { |
| 225 | ARMNN_LOG(info) << "Output Tensor File: " << m_OutputTensorFile << " could not be opened!"; |
| 226 | } |
| 227 | outputTensorFile.close(); |
| 228 | } |
| 229 | } |
| 230 | |
| 231 | void PopulateTensorWithData(armnnUtils::TContainer& tensorData, |
| 232 | unsigned int numElements, |
| 233 | const std::string& dataTypeStr, |
| 234 | const armnn::Optional<QuantizationParams>& qParams, |
| 235 | const armnn::Optional<std::string>& dataFile) |
| 236 | { |
| 237 | const bool readFromFile = dataFile.has_value() && !dataFile.value().empty(); |
| 238 | const bool quantizeData = qParams.has_value(); |
| 239 | |
| 240 | std::ifstream inputTensorFile; |
| 241 | if (readFromFile) |
| 242 | { |
| 243 | inputTensorFile = std::ifstream(dataFile.value()); |
| 244 | } |
| 245 | |
| 246 | if (dataTypeStr.compare("float") == 0) |
| 247 | { |
| 248 | if (quantizeData) |
| 249 | { |
| 250 | const float qScale = qParams.value().first; |
| 251 | const int qOffset = qParams.value().second; |
| 252 | |
| 253 | tensorData = readFromFile ? |
| 254 | ParseDataArray<armnn::DataType::QAsymmU8>(inputTensorFile, qScale, qOffset) : |
| 255 | GenerateDummyTensorData<armnn::DataType::QAsymmU8>(numElements); |
| 256 | } |
| 257 | else |
| 258 | { |
| 259 | tensorData = readFromFile ? |
| 260 | ParseDataArray<armnn::DataType::Float32>(inputTensorFile) : |
| 261 | GenerateDummyTensorData<armnn::DataType::Float32>(numElements); |
Jan Eilers | 4527490 | 2020-10-15 18:34:43 +0100 | [diff] [blame] | 262 | } |
| 263 | } |
Nikhil Raj Arm | f4ccb1f | 2022-07-05 09:29:18 +0000 | [diff] [blame] | 264 | else if (dataTypeStr.compare("int") == 0) |
| 265 | { |
| 266 | tensorData = readFromFile ? |
| 267 | ParseDataArray<armnn::DataType::Signed32>(inputTensorFile) : |
| 268 | GenerateDummyTensorData<armnn::DataType::Signed32>(numElements); |
| 269 | } |
| 270 | else if (dataTypeStr.compare("qsymms8") == 0) |
| 271 | { |
| 272 | tensorData = readFromFile ? |
| 273 | ParseDataArray<armnn::DataType::QSymmS8>(inputTensorFile) : |
| 274 | GenerateDummyTensorData<armnn::DataType::QSymmS8>(numElements); |
| 275 | } |
| 276 | else if (dataTypeStr.compare("qasymm8") == 0 || dataTypeStr.compare("qasymmu8") == 0) |
| 277 | { |
| 278 | tensorData = readFromFile ? |
| 279 | ParseDataArray<armnn::DataType::QAsymmU8>(inputTensorFile) : |
| 280 | GenerateDummyTensorData<armnn::DataType::QAsymmU8>(numElements); |
| 281 | } |
| 282 | else if (dataTypeStr.compare("qasymms8") == 0) |
| 283 | { |
| 284 | tensorData = readFromFile ? |
| 285 | ParseDataArray<armnn::DataType::QAsymmS8>(inputTensorFile) : |
| 286 | GenerateDummyTensorData<armnn::DataType::QAsymmS8>(numElements); |
| 287 | } |
| 288 | else |
| 289 | { |
| 290 | std::string errorMessage = "Unsupported tensor data type " + dataTypeStr; |
| 291 | ARMNN_LOG(fatal) << errorMessage; |
| 292 | |
| 293 | inputTensorFile.close(); |
| 294 | throw armnn::Exception(errorMessage); |
| 295 | } |
| 296 | |
| 297 | inputTensorFile.close(); |
Jan Eilers | 4527490 | 2020-10-15 18:34:43 +0100 | [diff] [blame] | 298 | } |
| 299 | |
| 300 | bool ValidatePath(const std::string& file, const bool expectFile) |
| 301 | { |
| 302 | if (!fs::exists(file)) |
| 303 | { |
| 304 | std::cerr << "Given file path '" << file << "' does not exist" << std::endl; |
| 305 | return false; |
| 306 | } |
| 307 | if (!fs::is_regular_file(file) && expectFile) |
| 308 | { |
| 309 | std::cerr << "Given file path '" << file << "' is not a regular file" << std::endl; |
| 310 | return false; |
| 311 | } |
| 312 | return true; |
| 313 | } |
| 314 | |
| 315 | bool ValidatePaths(const std::vector<std::string>& fileVec, const bool expectFile) |
| 316 | { |
| 317 | bool allPathsValid = true; |
| 318 | for (auto const& file : fileVec) |
| 319 | { |
| 320 | if(!ValidatePath(file, expectFile)) |
| 321 | { |
| 322 | allPathsValid = false; |
| 323 | } |
| 324 | } |
| 325 | return allPathsValid; |
| 326 | } |
| 327 | |
Nikhil Raj Arm | f4ccb1f | 2022-07-05 09:29:18 +0000 | [diff] [blame] | 328 | |
Jan Eilers | 4527490 | 2020-10-15 18:34:43 +0100 | [diff] [blame] | 329 | |