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 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 17 | #include <schema_generated.h> |
| 18 | |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 19 | #include <doctest/doctest.h> |
| 20 | |
| 21 | namespace |
| 22 | { |
| 23 | |
Matthew Sloyan | 3504e42 | 2023-05-03 13:53:02 +0100 | [diff] [blame] | 24 | std::vector<char> CreateReshapeTfLiteModel( |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 25 | tflite::BuiltinOperator redefineOperatorCode, |
| 26 | tflite::TensorType tensorType, |
| 27 | const std::vector<int32_t>& inputTensorShape, |
| 28 | const std::vector<int32_t>& outputTensorShape, |
| 29 | const std::vector<int32_t>& targetShape, |
| 30 | bool useOption = true, |
| 31 | float quantScale = 1.0f, |
| 32 | int quantOffset = 0) |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 33 | { |
| 34 | using namespace tflite; |
| 35 | flatbuffers::FlatBufferBuilder flatBufferBuilder; |
| 36 | std::vector<flatbuffers::Offset<tflite::Buffer>> buffers; |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 37 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
| 38 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 39 | |
| 40 | auto quantizationParameters = |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 41 | CreateQuantizationParameters(flatBufferBuilder, |
| 42 | 0, |
| 43 | 0, |
| 44 | flatBufferBuilder.CreateVector<float>({ quantScale }), |
| 45 | flatBufferBuilder.CreateVector<int64_t>({ quantOffset })); |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 46 | |
| 47 | auto inputTensor = CreateTensor(flatBufferBuilder, |
| 48 | flatBufferBuilder.CreateVector<int32_t>(inputTensorShape.data(), |
| 49 | inputTensorShape.size()), |
| 50 | tensorType, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 51 | 1, |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 52 | flatBufferBuilder.CreateString("input"), |
| 53 | quantizationParameters); |
| 54 | |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 55 | std::vector<flatbuffers::Offset<Tensor>> tensors; |
| 56 | std::vector<int32_t> operatorInputs; |
| 57 | std::vector<int> subgraphInputs; |
| 58 | flatbuffers::Offset<void> operatorBuiltinOptions; |
| 59 | |
| 60 | if (useOption) |
| 61 | { |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 62 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
| 63 | auto outputTensor = CreateTensor(flatBufferBuilder, |
| 64 | flatBufferBuilder.CreateVector<int32_t>(outputTensorShape.data(), |
| 65 | outputTensorShape.size()), |
| 66 | tensorType, |
| 67 | 2, |
| 68 | flatBufferBuilder.CreateString("output"), |
| 69 | quantizationParameters); |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 70 | tensors = { inputTensor, outputTensor}; |
Keith Davis | 892fafe | 2020-11-26 17:40:35 +0000 | [diff] [blame] | 71 | operatorInputs = {0}; |
| 72 | subgraphInputs = {0}; |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 73 | operatorBuiltinOptions = CreateReshapeOptions( |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 74 | flatBufferBuilder, |
| 75 | flatBufferBuilder.CreateVector(targetShape.data(), targetShape.size())).Union(); |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 76 | } |
| 77 | else |
| 78 | { |
| 79 | buffers.push_back( |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 80 | CreateBuffer(flatBufferBuilder, |
| 81 | flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>(targetShape.data()), |
| 82 | sizeof(int32_t) * targetShape.size()))); |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 83 | int32_t size = static_cast<int32_t>(targetShape.size()); |
| 84 | auto shapeTensor = CreateTensor(flatBufferBuilder, |
| 85 | flatBufferBuilder.CreateVector<int32_t>( { size } ), |
| 86 | tflite::TensorType_INT32, |
| 87 | 2, |
| 88 | flatBufferBuilder.CreateString("shape")); |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 89 | |
| 90 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
| 91 | auto outputTensor = CreateTensor(flatBufferBuilder, |
| 92 | flatBufferBuilder.CreateVector<int32_t>(outputTensorShape.data(), |
| 93 | outputTensorShape.size()), |
| 94 | tensorType, |
| 95 | 3, |
| 96 | flatBufferBuilder.CreateString("output"), |
| 97 | quantizationParameters); |
| 98 | |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 99 | tensors = { inputTensor, outputTensor, shapeTensor }; |
Keith Davis | 892fafe | 2020-11-26 17:40:35 +0000 | [diff] [blame] | 100 | operatorInputs = {0, 2}; |
| 101 | subgraphInputs = {0, 2}; |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 102 | operatorBuiltinOptions = CreateReshapeOptions(flatBufferBuilder).Union(); |
| 103 | } |
| 104 | |
| 105 | // create operator |
| 106 | tflite::BuiltinOptions operatorBuiltinOptionsType = BuiltinOptions_ReshapeOptions; |
| 107 | |
Keith Davis | 892fafe | 2020-11-26 17:40:35 +0000 | [diff] [blame] | 108 | const std::vector<int32_t> operatorOutputs{1}; |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 109 | flatbuffers::Offset <Operator> redefineOperator = |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 110 | CreateOperator(flatBufferBuilder, |
| 111 | 0, |
| 112 | flatBufferBuilder.CreateVector<int32_t>(operatorInputs.data(), operatorInputs.size()), |
| 113 | flatBufferBuilder.CreateVector<int32_t>(operatorOutputs.data(), operatorOutputs.size()), |
| 114 | operatorBuiltinOptionsType, |
| 115 | operatorBuiltinOptions); |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 116 | |
Keith Davis | 892fafe | 2020-11-26 17:40:35 +0000 | [diff] [blame] | 117 | const std::vector<int> subgraphOutputs{1}; |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 118 | flatbuffers::Offset <SubGraph> subgraph = |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 119 | CreateSubGraph(flatBufferBuilder, |
| 120 | flatBufferBuilder.CreateVector(tensors.data(), tensors.size()), |
| 121 | flatBufferBuilder.CreateVector<int32_t>(subgraphInputs.data(), subgraphInputs.size()), |
| 122 | flatBufferBuilder.CreateVector<int32_t>(subgraphOutputs.data(), subgraphOutputs.size()), |
| 123 | flatBufferBuilder.CreateVector(&redefineOperator, 1)); |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 124 | |
| 125 | flatbuffers::Offset <flatbuffers::String> modelDescription = |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 126 | flatBufferBuilder.CreateString("ArmnnDelegate: Reshape Operator Model"); |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 127 | flatbuffers::Offset <OperatorCode> operatorCode = CreateOperatorCode(flatBufferBuilder, |
| 128 | redefineOperatorCode); |
| 129 | |
| 130 | flatbuffers::Offset <Model> flatbufferModel = |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 131 | CreateModel(flatBufferBuilder, |
| 132 | TFLITE_SCHEMA_VERSION, |
| 133 | flatBufferBuilder.CreateVector(&operatorCode, 1), |
| 134 | flatBufferBuilder.CreateVector(&subgraph, 1), |
| 135 | modelDescription, |
| 136 | flatBufferBuilder.CreateVector(buffers.data(), buffers.size())); |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 137 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 138 | flatBufferBuilder.Finish(flatbufferModel, armnnDelegate::FILE_IDENTIFIER); |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 139 | |
| 140 | return std::vector<char>(flatBufferBuilder.GetBufferPointer(), |
| 141 | flatBufferBuilder.GetBufferPointer() + flatBufferBuilder.GetSize()); |
| 142 | } |
| 143 | |
Matthew Sloyan | 3504e42 | 2023-05-03 13:53:02 +0100 | [diff] [blame] | 144 | std::vector<char> CreateRedefineTfLiteModel( |
| 145 | tflite::BuiltinOperator redefineOperatorCode, |
| 146 | tflite::TensorType tensorType, |
| 147 | const std::vector<int32_t>& inputTensorShape, |
| 148 | const std::vector<int32_t>& outputTensorShape, |
| 149 | const std::vector<int32_t>& squeezeOrAxisData, |
| 150 | float quantScale = 1.0f, |
| 151 | int quantOffset = 0) |
| 152 | { |
| 153 | using namespace tflite; |
| 154 | flatbuffers::FlatBufferBuilder flatBufferBuilder; |
| 155 | std::vector<flatbuffers::Offset<tflite::Buffer>> buffers; |
| 156 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
| 157 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
| 158 | |
| 159 | auto quantizationParameters = |
| 160 | CreateQuantizationParameters(flatBufferBuilder, |
| 161 | 0, |
| 162 | 0, |
| 163 | flatBufferBuilder.CreateVector<float>({ quantScale }), |
| 164 | flatBufferBuilder.CreateVector<int64_t>({ quantOffset })); |
| 165 | |
| 166 | auto inputTensor = CreateTensor(flatBufferBuilder, |
| 167 | flatBufferBuilder.CreateVector<int32_t>(inputTensorShape.data(), |
| 168 | inputTensorShape.size()), |
| 169 | tensorType, |
| 170 | 1, |
| 171 | flatBufferBuilder.CreateString("input"), |
| 172 | quantizationParameters); |
| 173 | |
| 174 | std::vector<flatbuffers::Offset<Tensor>> tensors; |
| 175 | std::vector<int32_t> operatorInputs; |
| 176 | std::vector<int> subgraphInputs; |
| 177 | flatbuffers::Offset<void> operatorBuiltinOptions; |
| 178 | tflite::BuiltinOptions operatorBuiltinOptionsType = BuiltinOptions_SqueezeOptions; |
| 179 | |
| 180 | if (redefineOperatorCode == tflite::BuiltinOperator_SQUEEZE) |
| 181 | { |
| 182 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
| 183 | auto outputTensor = CreateTensor(flatBufferBuilder, |
| 184 | flatBufferBuilder.CreateVector<int32_t>(outputTensorShape.data(), |
| 185 | outputTensorShape.size()), |
| 186 | tensorType, |
| 187 | 2, |
| 188 | flatBufferBuilder.CreateString("output"), |
| 189 | quantizationParameters); |
| 190 | tensors = { inputTensor, outputTensor}; |
| 191 | operatorInputs = {0}; |
| 192 | subgraphInputs = {0}; |
| 193 | operatorBuiltinOptions = |
| 194 | CreateSqueezeOptions(flatBufferBuilder, |
| 195 | flatBufferBuilder.CreateVector(squeezeOrAxisData.data(), |
| 196 | squeezeOrAxisData.size())).Union(); |
| 197 | |
| 198 | operatorBuiltinOptionsType = BuiltinOptions_SqueezeOptions; |
| 199 | } |
| 200 | else if (redefineOperatorCode == tflite::BuiltinOperator_EXPAND_DIMS) |
| 201 | { |
| 202 | buffers.push_back( |
| 203 | CreateBuffer(flatBufferBuilder, |
| 204 | flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>(squeezeOrAxisData.data()), |
| 205 | sizeof(int32_t) * squeezeOrAxisData.size()))); |
| 206 | auto shapeTensor = CreateTensor(flatBufferBuilder, |
| 207 | flatBufferBuilder.CreateVector<int32_t>( { 1 } ), |
| 208 | tflite::TensorType_INT32, |
| 209 | 2, |
| 210 | flatBufferBuilder.CreateString("axis")); |
| 211 | |
| 212 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
| 213 | auto outputTensor = CreateTensor(flatBufferBuilder, |
| 214 | flatBufferBuilder.CreateVector<int32_t>(outputTensorShape.data(), |
| 215 | outputTensorShape.size()), |
| 216 | tensorType, |
| 217 | 3, |
| 218 | flatBufferBuilder.CreateString("output"), |
| 219 | quantizationParameters); |
| 220 | |
| 221 | tensors = { inputTensor, outputTensor, shapeTensor }; |
| 222 | operatorInputs = {0, 2}; |
| 223 | subgraphInputs = {0, 2}; |
| 224 | operatorBuiltinOptions = CreateExpandDimsOptions(flatBufferBuilder).Union(); |
| 225 | |
| 226 | operatorBuiltinOptionsType = BuiltinOptions_ExpandDimsOptions; |
| 227 | } |
| 228 | |
| 229 | const std::vector<int32_t> operatorOutputs{1}; |
| 230 | flatbuffers::Offset <Operator> redefineOperator = |
| 231 | CreateOperator(flatBufferBuilder, |
| 232 | 0, |
| 233 | flatBufferBuilder.CreateVector<int32_t>(operatorInputs.data(), operatorInputs.size()), |
| 234 | flatBufferBuilder.CreateVector<int32_t>(operatorOutputs.data(), operatorOutputs.size()), |
| 235 | operatorBuiltinOptionsType, |
| 236 | operatorBuiltinOptions); |
| 237 | |
| 238 | const std::vector<int> subgraphOutputs{1}; |
| 239 | flatbuffers::Offset <SubGraph> subgraph = |
| 240 | CreateSubGraph(flatBufferBuilder, |
| 241 | flatBufferBuilder.CreateVector(tensors.data(), tensors.size()), |
| 242 | flatBufferBuilder.CreateVector<int32_t>(subgraphInputs.data(), subgraphInputs.size()), |
| 243 | flatBufferBuilder.CreateVector<int32_t>(subgraphOutputs.data(), subgraphOutputs.size()), |
| 244 | flatBufferBuilder.CreateVector(&redefineOperator, 1)); |
| 245 | |
| 246 | flatbuffers::Offset <flatbuffers::String> modelDescription = |
| 247 | flatBufferBuilder.CreateString("ArmnnDelegate: Redefine Operator Model"); |
| 248 | flatbuffers::Offset <OperatorCode> operatorCode = CreateOperatorCode(flatBufferBuilder, |
| 249 | redefineOperatorCode); |
| 250 | |
| 251 | flatbuffers::Offset <Model> flatbufferModel = |
| 252 | CreateModel(flatBufferBuilder, |
| 253 | TFLITE_SCHEMA_VERSION, |
| 254 | flatBufferBuilder.CreateVector(&operatorCode, 1), |
| 255 | flatBufferBuilder.CreateVector(&subgraph, 1), |
| 256 | modelDescription, |
| 257 | flatBufferBuilder.CreateVector(buffers.data(), buffers.size())); |
| 258 | |
| 259 | flatBufferBuilder.Finish(flatbufferModel, armnnDelegate::FILE_IDENTIFIER); |
| 260 | |
| 261 | return std::vector<char>(flatBufferBuilder.GetBufferPointer(), |
| 262 | flatBufferBuilder.GetBufferPointer() + flatBufferBuilder.GetSize()); |
| 263 | } |
| 264 | |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 265 | template <typename T> |
| 266 | void RedefineTest(tflite::BuiltinOperator redefineOperatorCode, |
| 267 | tflite::TensorType tensorType, |
| 268 | const std::vector<armnn::BackendId>& backends, |
| 269 | const std::vector<int32_t>& inputShape, |
Narumol Prangnawarat | 4cf0fe3 | 2020-12-18 16:13:06 +0000 | [diff] [blame] | 270 | std::vector<int32_t>& outputShape, |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 271 | std::vector<T>& inputValues, |
| 272 | std::vector<T>& expectedOutputValues, |
Matthew Sloyan | 3504e42 | 2023-05-03 13:53:02 +0100 | [diff] [blame] | 273 | std::vector<int32_t>& additionalData, |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 274 | bool useOption = true, |
| 275 | float quantScale = 1.0f, |
| 276 | int quantOffset = 0) |
| 277 | { |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 278 | using namespace delegateTestInterpreter; |
Matthew Sloyan | 3504e42 | 2023-05-03 13:53:02 +0100 | [diff] [blame] | 279 | |
| 280 | std::vector<char> modelBuffer; |
| 281 | if (redefineOperatorCode == tflite::BuiltinOperator_EXPAND_DIMS) |
| 282 | { |
| 283 | modelBuffer = CreateRedefineTfLiteModel(redefineOperatorCode, |
| 284 | tensorType, |
| 285 | inputShape, |
| 286 | outputShape, |
| 287 | additionalData, |
| 288 | quantScale, |
| 289 | quantOffset); |
| 290 | } |
| 291 | else if (redefineOperatorCode == tflite::BuiltinOperator_RESHAPE) |
| 292 | { |
| 293 | modelBuffer = CreateReshapeTfLiteModel(redefineOperatorCode, |
| 294 | tensorType, |
| 295 | inputShape, |
| 296 | outputShape, |
| 297 | additionalData, |
| 298 | useOption, |
| 299 | quantScale, |
| 300 | quantOffset); |
| 301 | } |
| 302 | else if (redefineOperatorCode == tflite::BuiltinOperator_SQUEEZE) |
| 303 | { |
| 304 | modelBuffer = CreateRedefineTfLiteModel(redefineOperatorCode, |
| 305 | tensorType, |
| 306 | inputShape, |
| 307 | outputShape, |
| 308 | additionalData, |
| 309 | quantScale, |
| 310 | quantOffset); |
| 311 | } |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 312 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 313 | // Setup interpreter with just TFLite Runtime. |
| 314 | auto tfLiteInterpreter = DelegateTestInterpreter(modelBuffer); |
| 315 | CHECK(tfLiteInterpreter.AllocateTensors() == kTfLiteOk); |
| 316 | CHECK(tfLiteInterpreter.FillInputTensor<T>(inputValues, 0) == kTfLiteOk); |
| 317 | CHECK(tfLiteInterpreter.Invoke() == kTfLiteOk); |
| 318 | std::vector<T> tfLiteOutputValues = tfLiteInterpreter.GetOutputResult<T>(0); |
| 319 | std::vector<int32_t> tfLiteOutputShape = tfLiteInterpreter.GetOutputShape(0); |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 320 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 321 | // Setup interpreter with Arm NN Delegate applied. |
| 322 | auto armnnInterpreter = DelegateTestInterpreter(modelBuffer, backends); |
| 323 | CHECK(armnnInterpreter.AllocateTensors() == kTfLiteOk); |
| 324 | CHECK(armnnInterpreter.FillInputTensor<T>(inputValues, 0) == kTfLiteOk); |
| 325 | CHECK(armnnInterpreter.Invoke() == kTfLiteOk); |
| 326 | std::vector<T> armnnOutputValues = armnnInterpreter.GetOutputResult<T>(0); |
| 327 | std::vector<int32_t> armnnOutputShape = armnnInterpreter.GetOutputShape(0); |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 328 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 329 | armnnDelegate::CompareOutputData<T>(tfLiteOutputValues, armnnOutputValues, expectedOutputValues); |
| 330 | armnnDelegate::CompareOutputShape(tfLiteOutputShape, armnnOutputShape, outputShape); |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 331 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 332 | tfLiteInterpreter.Cleanup(); |
| 333 | armnnInterpreter.Cleanup(); |
David Monahan | 1670b0c | 2020-11-18 14:40:27 +0000 | [diff] [blame] | 334 | } |
| 335 | |
| 336 | } // anonymous namespace |