David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 1 | // |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 2 | // Copyright © 2020, 2023 Arm Ltd and Contributors. All rights reserved. |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #pragma once |
| 7 | |
| 8 | #include "TestUtils.hpp" |
| 9 | |
| 10 | #include <armnn_delegate.hpp> |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 11 | #include <DelegateTestInterpreter.hpp> |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 12 | |
| 13 | #include <flatbuffers/flatbuffers.h> |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 14 | #include <tensorflow/lite/kernels/register.h> |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 15 | #include <tensorflow/lite/version.h> |
| 16 | |
| 17 | #include <doctest/doctest.h> |
| 18 | |
| 19 | namespace |
| 20 | { |
| 21 | |
Matthew Sloyan | 3504e42 | 2023-05-03 13:53:02 +0100 | [diff] [blame] | 22 | std::vector<char> CreateReshapeTfLiteModel( |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 23 | tflite::BuiltinOperator redefineOperatorCode, |
| 24 | tflite::TensorType tensorType, |
| 25 | const std::vector<int32_t>& inputTensorShape, |
| 26 | const std::vector<int32_t>& outputTensorShape, |
| 27 | const std::vector<int32_t>& targetShape, |
| 28 | bool useOption = true, |
| 29 | float quantScale = 1.0f, |
| 30 | int quantOffset = 0) |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 31 | { |
| 32 | using namespace tflite; |
| 33 | flatbuffers::FlatBufferBuilder flatBufferBuilder; |
| 34 | std::vector<flatbuffers::Offset<tflite::Buffer>> buffers; |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 35 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
| 36 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 37 | |
| 38 | auto quantizationParameters = |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 39 | CreateQuantizationParameters(flatBufferBuilder, |
| 40 | 0, |
| 41 | 0, |
| 42 | flatBufferBuilder.CreateVector<float>({ quantScale }), |
| 43 | flatBufferBuilder.CreateVector<int64_t>({ quantOffset })); |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 44 | |
| 45 | auto inputTensor = CreateTensor(flatBufferBuilder, |
| 46 | flatBufferBuilder.CreateVector<int32_t>(inputTensorShape.data(), |
| 47 | inputTensorShape.size()), |
| 48 | tensorType, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 49 | 1, |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 50 | flatBufferBuilder.CreateString("input"), |
| 51 | quantizationParameters); |
| 52 | |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 53 | std::vector<flatbuffers::Offset<Tensor>> tensors; |
| 54 | std::vector<int32_t> operatorInputs; |
| 55 | std::vector<int> subgraphInputs; |
| 56 | flatbuffers::Offset<void> operatorBuiltinOptions; |
| 57 | |
| 58 | if (useOption) |
| 59 | { |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 60 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
| 61 | auto outputTensor = CreateTensor(flatBufferBuilder, |
| 62 | flatBufferBuilder.CreateVector<int32_t>(outputTensorShape.data(), |
| 63 | outputTensorShape.size()), |
| 64 | tensorType, |
| 65 | 2, |
| 66 | flatBufferBuilder.CreateString("output"), |
| 67 | quantizationParameters); |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 68 | tensors = { inputTensor, outputTensor}; |
Keith Davis | 892fafe | 2020-11-26 17:40:35 +0000 | [diff] [blame] | 69 | operatorInputs = {0}; |
| 70 | subgraphInputs = {0}; |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 71 | operatorBuiltinOptions = CreateReshapeOptions( |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 72 | flatBufferBuilder, |
| 73 | flatBufferBuilder.CreateVector(targetShape.data(), targetShape.size())).Union(); |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 74 | } |
| 75 | else |
| 76 | { |
| 77 | buffers.push_back( |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 78 | CreateBuffer(flatBufferBuilder, |
| 79 | flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>(targetShape.data()), |
| 80 | sizeof(int32_t) * targetShape.size()))); |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 81 | int32_t size = static_cast<int32_t>(targetShape.size()); |
| 82 | auto shapeTensor = CreateTensor(flatBufferBuilder, |
| 83 | flatBufferBuilder.CreateVector<int32_t>( { size } ), |
| 84 | tflite::TensorType_INT32, |
| 85 | 2, |
| 86 | flatBufferBuilder.CreateString("shape")); |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 87 | |
| 88 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
| 89 | auto outputTensor = CreateTensor(flatBufferBuilder, |
| 90 | flatBufferBuilder.CreateVector<int32_t>(outputTensorShape.data(), |
| 91 | outputTensorShape.size()), |
| 92 | tensorType, |
| 93 | 3, |
| 94 | flatBufferBuilder.CreateString("output"), |
| 95 | quantizationParameters); |
| 96 | |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 97 | tensors = { inputTensor, outputTensor, shapeTensor }; |
Keith Davis | 892fafe | 2020-11-26 17:40:35 +0000 | [diff] [blame] | 98 | operatorInputs = {0, 2}; |
| 99 | subgraphInputs = {0, 2}; |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 100 | operatorBuiltinOptions = CreateReshapeOptions(flatBufferBuilder).Union(); |
| 101 | } |
| 102 | |
| 103 | // create operator |
| 104 | tflite::BuiltinOptions operatorBuiltinOptionsType = BuiltinOptions_ReshapeOptions; |
| 105 | |
Keith Davis | 892fafe | 2020-11-26 17:40:35 +0000 | [diff] [blame] | 106 | const std::vector<int32_t> operatorOutputs{1}; |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 107 | flatbuffers::Offset <Operator> redefineOperator = |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 108 | CreateOperator(flatBufferBuilder, |
| 109 | 0, |
| 110 | flatBufferBuilder.CreateVector<int32_t>(operatorInputs.data(), operatorInputs.size()), |
| 111 | flatBufferBuilder.CreateVector<int32_t>(operatorOutputs.data(), operatorOutputs.size()), |
| 112 | operatorBuiltinOptionsType, |
| 113 | operatorBuiltinOptions); |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 114 | |
Keith Davis | 892fafe | 2020-11-26 17:40:35 +0000 | [diff] [blame] | 115 | const std::vector<int> subgraphOutputs{1}; |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 116 | flatbuffers::Offset <SubGraph> subgraph = |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 117 | CreateSubGraph(flatBufferBuilder, |
| 118 | flatBufferBuilder.CreateVector(tensors.data(), tensors.size()), |
| 119 | flatBufferBuilder.CreateVector<int32_t>(subgraphInputs.data(), subgraphInputs.size()), |
| 120 | flatBufferBuilder.CreateVector<int32_t>(subgraphOutputs.data(), subgraphOutputs.size()), |
| 121 | flatBufferBuilder.CreateVector(&redefineOperator, 1)); |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 122 | |
| 123 | flatbuffers::Offset <flatbuffers::String> modelDescription = |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 124 | flatBufferBuilder.CreateString("ArmnnDelegate: Reshape Operator Model"); |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 125 | flatbuffers::Offset <OperatorCode> operatorCode = CreateOperatorCode(flatBufferBuilder, |
| 126 | redefineOperatorCode); |
| 127 | |
| 128 | flatbuffers::Offset <Model> flatbufferModel = |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 129 | CreateModel(flatBufferBuilder, |
| 130 | TFLITE_SCHEMA_VERSION, |
| 131 | flatBufferBuilder.CreateVector(&operatorCode, 1), |
| 132 | flatBufferBuilder.CreateVector(&subgraph, 1), |
| 133 | modelDescription, |
| 134 | flatBufferBuilder.CreateVector(buffers.data(), buffers.size())); |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 135 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 136 | flatBufferBuilder.Finish(flatbufferModel, armnnDelegate::FILE_IDENTIFIER); |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 137 | |
| 138 | return std::vector<char>(flatBufferBuilder.GetBufferPointer(), |
| 139 | flatBufferBuilder.GetBufferPointer() + flatBufferBuilder.GetSize()); |
| 140 | } |
| 141 | |
Matthew Sloyan | 3504e42 | 2023-05-03 13:53:02 +0100 | [diff] [blame] | 142 | std::vector<char> CreateRedefineTfLiteModel( |
| 143 | tflite::BuiltinOperator redefineOperatorCode, |
| 144 | tflite::TensorType tensorType, |
| 145 | const std::vector<int32_t>& inputTensorShape, |
| 146 | const std::vector<int32_t>& outputTensorShape, |
| 147 | const std::vector<int32_t>& squeezeOrAxisData, |
| 148 | float quantScale = 1.0f, |
| 149 | int quantOffset = 0) |
| 150 | { |
| 151 | using namespace tflite; |
| 152 | flatbuffers::FlatBufferBuilder flatBufferBuilder; |
| 153 | std::vector<flatbuffers::Offset<tflite::Buffer>> buffers; |
| 154 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
| 155 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
| 156 | |
| 157 | auto quantizationParameters = |
| 158 | CreateQuantizationParameters(flatBufferBuilder, |
| 159 | 0, |
| 160 | 0, |
| 161 | flatBufferBuilder.CreateVector<float>({ quantScale }), |
| 162 | flatBufferBuilder.CreateVector<int64_t>({ quantOffset })); |
| 163 | |
| 164 | auto inputTensor = CreateTensor(flatBufferBuilder, |
| 165 | flatBufferBuilder.CreateVector<int32_t>(inputTensorShape.data(), |
| 166 | inputTensorShape.size()), |
| 167 | tensorType, |
| 168 | 1, |
| 169 | flatBufferBuilder.CreateString("input"), |
| 170 | quantizationParameters); |
| 171 | |
| 172 | std::vector<flatbuffers::Offset<Tensor>> tensors; |
| 173 | std::vector<int32_t> operatorInputs; |
| 174 | std::vector<int> subgraphInputs; |
| 175 | flatbuffers::Offset<void> operatorBuiltinOptions; |
| 176 | tflite::BuiltinOptions operatorBuiltinOptionsType = BuiltinOptions_SqueezeOptions; |
| 177 | |
| 178 | if (redefineOperatorCode == tflite::BuiltinOperator_SQUEEZE) |
| 179 | { |
| 180 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
| 181 | auto outputTensor = CreateTensor(flatBufferBuilder, |
| 182 | flatBufferBuilder.CreateVector<int32_t>(outputTensorShape.data(), |
| 183 | outputTensorShape.size()), |
| 184 | tensorType, |
| 185 | 2, |
| 186 | flatBufferBuilder.CreateString("output"), |
| 187 | quantizationParameters); |
| 188 | tensors = { inputTensor, outputTensor}; |
| 189 | operatorInputs = {0}; |
| 190 | subgraphInputs = {0}; |
| 191 | operatorBuiltinOptions = |
| 192 | CreateSqueezeOptions(flatBufferBuilder, |
| 193 | flatBufferBuilder.CreateVector(squeezeOrAxisData.data(), |
| 194 | squeezeOrAxisData.size())).Union(); |
| 195 | |
| 196 | operatorBuiltinOptionsType = BuiltinOptions_SqueezeOptions; |
| 197 | } |
| 198 | else if (redefineOperatorCode == tflite::BuiltinOperator_EXPAND_DIMS) |
| 199 | { |
| 200 | buffers.push_back( |
| 201 | CreateBuffer(flatBufferBuilder, |
| 202 | flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>(squeezeOrAxisData.data()), |
| 203 | sizeof(int32_t) * squeezeOrAxisData.size()))); |
| 204 | auto shapeTensor = CreateTensor(flatBufferBuilder, |
| 205 | flatBufferBuilder.CreateVector<int32_t>( { 1 } ), |
| 206 | tflite::TensorType_INT32, |
| 207 | 2, |
| 208 | flatBufferBuilder.CreateString("axis")); |
| 209 | |
| 210 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
| 211 | auto outputTensor = CreateTensor(flatBufferBuilder, |
| 212 | flatBufferBuilder.CreateVector<int32_t>(outputTensorShape.data(), |
| 213 | outputTensorShape.size()), |
| 214 | tensorType, |
| 215 | 3, |
| 216 | flatBufferBuilder.CreateString("output"), |
| 217 | quantizationParameters); |
| 218 | |
| 219 | tensors = { inputTensor, outputTensor, shapeTensor }; |
| 220 | operatorInputs = {0, 2}; |
| 221 | subgraphInputs = {0, 2}; |
| 222 | operatorBuiltinOptions = CreateExpandDimsOptions(flatBufferBuilder).Union(); |
| 223 | |
| 224 | operatorBuiltinOptionsType = BuiltinOptions_ExpandDimsOptions; |
| 225 | } |
| 226 | |
| 227 | const std::vector<int32_t> operatorOutputs{1}; |
| 228 | flatbuffers::Offset <Operator> redefineOperator = |
| 229 | CreateOperator(flatBufferBuilder, |
| 230 | 0, |
| 231 | flatBufferBuilder.CreateVector<int32_t>(operatorInputs.data(), operatorInputs.size()), |
| 232 | flatBufferBuilder.CreateVector<int32_t>(operatorOutputs.data(), operatorOutputs.size()), |
| 233 | operatorBuiltinOptionsType, |
| 234 | operatorBuiltinOptions); |
| 235 | |
| 236 | const std::vector<int> subgraphOutputs{1}; |
| 237 | flatbuffers::Offset <SubGraph> subgraph = |
| 238 | CreateSubGraph(flatBufferBuilder, |
| 239 | flatBufferBuilder.CreateVector(tensors.data(), tensors.size()), |
| 240 | flatBufferBuilder.CreateVector<int32_t>(subgraphInputs.data(), subgraphInputs.size()), |
| 241 | flatBufferBuilder.CreateVector<int32_t>(subgraphOutputs.data(), subgraphOutputs.size()), |
| 242 | flatBufferBuilder.CreateVector(&redefineOperator, 1)); |
| 243 | |
| 244 | flatbuffers::Offset <flatbuffers::String> modelDescription = |
| 245 | flatBufferBuilder.CreateString("ArmnnDelegate: Redefine Operator Model"); |
| 246 | flatbuffers::Offset <OperatorCode> operatorCode = CreateOperatorCode(flatBufferBuilder, |
| 247 | redefineOperatorCode); |
| 248 | |
| 249 | flatbuffers::Offset <Model> flatbufferModel = |
| 250 | CreateModel(flatBufferBuilder, |
| 251 | TFLITE_SCHEMA_VERSION, |
| 252 | flatBufferBuilder.CreateVector(&operatorCode, 1), |
| 253 | flatBufferBuilder.CreateVector(&subgraph, 1), |
| 254 | modelDescription, |
| 255 | flatBufferBuilder.CreateVector(buffers.data(), buffers.size())); |
| 256 | |
| 257 | flatBufferBuilder.Finish(flatbufferModel, armnnDelegate::FILE_IDENTIFIER); |
| 258 | |
| 259 | return std::vector<char>(flatBufferBuilder.GetBufferPointer(), |
| 260 | flatBufferBuilder.GetBufferPointer() + flatBufferBuilder.GetSize()); |
| 261 | } |
| 262 | |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 263 | template <typename T> |
| 264 | void RedefineTest(tflite::BuiltinOperator redefineOperatorCode, |
| 265 | tflite::TensorType tensorType, |
| 266 | const std::vector<armnn::BackendId>& backends, |
| 267 | const std::vector<int32_t>& inputShape, |
Narumol Prangnawarat | 4cf0fe3 | 2020-12-18 16:13:06 +0000 | [diff] [blame] | 268 | std::vector<int32_t>& outputShape, |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 269 | std::vector<T>& inputValues, |
| 270 | std::vector<T>& expectedOutputValues, |
Matthew Sloyan | 3504e42 | 2023-05-03 13:53:02 +0100 | [diff] [blame] | 271 | std::vector<int32_t>& additionalData, |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 272 | bool useOption = true, |
| 273 | float quantScale = 1.0f, |
| 274 | int quantOffset = 0) |
| 275 | { |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 276 | using namespace delegateTestInterpreter; |
Matthew Sloyan | 3504e42 | 2023-05-03 13:53:02 +0100 | [diff] [blame] | 277 | |
| 278 | std::vector<char> modelBuffer; |
| 279 | if (redefineOperatorCode == tflite::BuiltinOperator_EXPAND_DIMS) |
| 280 | { |
| 281 | modelBuffer = CreateRedefineTfLiteModel(redefineOperatorCode, |
| 282 | tensorType, |
| 283 | inputShape, |
| 284 | outputShape, |
| 285 | additionalData, |
| 286 | quantScale, |
| 287 | quantOffset); |
| 288 | } |
| 289 | else if (redefineOperatorCode == tflite::BuiltinOperator_RESHAPE) |
| 290 | { |
| 291 | modelBuffer = CreateReshapeTfLiteModel(redefineOperatorCode, |
| 292 | tensorType, |
| 293 | inputShape, |
| 294 | outputShape, |
| 295 | additionalData, |
| 296 | useOption, |
| 297 | quantScale, |
| 298 | quantOffset); |
| 299 | } |
| 300 | else if (redefineOperatorCode == tflite::BuiltinOperator_SQUEEZE) |
| 301 | { |
| 302 | modelBuffer = CreateRedefineTfLiteModel(redefineOperatorCode, |
| 303 | tensorType, |
| 304 | inputShape, |
| 305 | outputShape, |
| 306 | additionalData, |
| 307 | quantScale, |
| 308 | quantOffset); |
| 309 | } |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 310 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 311 | // Setup interpreter with just TFLite Runtime. |
| 312 | auto tfLiteInterpreter = DelegateTestInterpreter(modelBuffer); |
| 313 | CHECK(tfLiteInterpreter.AllocateTensors() == kTfLiteOk); |
| 314 | CHECK(tfLiteInterpreter.FillInputTensor<T>(inputValues, 0) == kTfLiteOk); |
| 315 | CHECK(tfLiteInterpreter.Invoke() == kTfLiteOk); |
| 316 | std::vector<T> tfLiteOutputValues = tfLiteInterpreter.GetOutputResult<T>(0); |
| 317 | std::vector<int32_t> tfLiteOutputShape = tfLiteInterpreter.GetOutputShape(0); |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 318 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 319 | // Setup interpreter with Arm NN Delegate applied. |
| 320 | auto armnnInterpreter = DelegateTestInterpreter(modelBuffer, backends); |
| 321 | CHECK(armnnInterpreter.AllocateTensors() == kTfLiteOk); |
| 322 | CHECK(armnnInterpreter.FillInputTensor<T>(inputValues, 0) == kTfLiteOk); |
| 323 | CHECK(armnnInterpreter.Invoke() == kTfLiteOk); |
| 324 | std::vector<T> armnnOutputValues = armnnInterpreter.GetOutputResult<T>(0); |
| 325 | std::vector<int32_t> armnnOutputShape = armnnInterpreter.GetOutputShape(0); |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 326 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 327 | armnnDelegate::CompareOutputData<T>(tfLiteOutputValues, armnnOutputValues, expectedOutputValues); |
| 328 | armnnDelegate::CompareOutputShape(tfLiteOutputShape, armnnOutputShape, outputShape); |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 329 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 330 | tfLiteInterpreter.Cleanup(); |
| 331 | armnnInterpreter.Cleanup(); |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 332 | } |
| 333 | |
| 334 | } // anonymous namespace |