Sadik Armagan | 4b227bb | 2021-01-22 10:53:38 +0000 | [diff] [blame] | 1 | // |
Colm Donelan | 7bcae3c | 2024-01-22 10:07:14 +0000 | [diff] [blame] | 2 | // Copyright © 2021, 2023-2024 Arm Ltd and Contributors. All rights reserved. |
Sadik Armagan | 4b227bb | 2021-01-22 10:53:38 +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> |
Sadik Armagan | 4b227bb | 2021-01-22 10:53:38 +0000 | [diff] [blame] | 12 | |
Sadik Armagan | 4b227bb | 2021-01-22 10:53:38 +0000 | [diff] [blame] | 13 | #include <tensorflow/lite/version.h> |
| 14 | |
Sadik Armagan | 4b227bb | 2021-01-22 10:53:38 +0000 | [diff] [blame] | 15 | namespace |
| 16 | { |
| 17 | |
| 18 | std::vector<char> CreateNormalizationTfLiteModel(tflite::BuiltinOperator normalizationOperatorCode, |
| 19 | tflite::TensorType tensorType, |
| 20 | const std::vector<int32_t>& inputTensorShape, |
| 21 | const std::vector<int32_t>& outputTensorShape, |
| 22 | int32_t radius, |
| 23 | float bias, |
| 24 | float alpha, |
| 25 | float beta, |
| 26 | float quantScale = 1.0f, |
| 27 | int quantOffset = 0) |
| 28 | { |
| 29 | using namespace tflite; |
| 30 | flatbuffers::FlatBufferBuilder flatBufferBuilder; |
| 31 | |
| 32 | auto quantizationParameters = |
| 33 | CreateQuantizationParameters(flatBufferBuilder, |
| 34 | 0, |
| 35 | 0, |
| 36 | flatBufferBuilder.CreateVector<float>({ quantScale }), |
| 37 | flatBufferBuilder.CreateVector<int64_t>({ quantOffset })); |
| 38 | |
| 39 | auto inputTensor = CreateTensor(flatBufferBuilder, |
| 40 | flatBufferBuilder.CreateVector<int32_t>(inputTensorShape.data(), |
| 41 | inputTensorShape.size()), |
| 42 | tensorType, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 43 | 1, |
Sadik Armagan | 4b227bb | 2021-01-22 10:53:38 +0000 | [diff] [blame] | 44 | flatBufferBuilder.CreateString("input"), |
| 45 | quantizationParameters); |
| 46 | |
| 47 | auto outputTensor = CreateTensor(flatBufferBuilder, |
| 48 | flatBufferBuilder.CreateVector<int32_t>(outputTensorShape.data(), |
| 49 | outputTensorShape.size()), |
| 50 | tensorType, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 51 | 2, |
Sadik Armagan | 4b227bb | 2021-01-22 10:53:38 +0000 | [diff] [blame] | 52 | flatBufferBuilder.CreateString("output"), |
| 53 | quantizationParameters); |
| 54 | |
| 55 | std::vector<flatbuffers::Offset<Tensor>> tensors = { inputTensor, outputTensor }; |
| 56 | |
| 57 | std::vector<flatbuffers::Offset<tflite::Buffer>> buffers; |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 58 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
| 59 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
| 60 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
Sadik Armagan | 4b227bb | 2021-01-22 10:53:38 +0000 | [diff] [blame] | 61 | |
Keith Davis | 244b5bf | 2021-01-31 18:36:58 +0000 | [diff] [blame] | 62 | std::vector<int32_t> operatorInputs = { 0 }; |
| 63 | std::vector<int> subgraphInputs = { 0 }; |
Sadik Armagan | 4b227bb | 2021-01-22 10:53:38 +0000 | [diff] [blame] | 64 | |
| 65 | tflite::BuiltinOptions operatorBuiltinOptionsType = BuiltinOptions_L2NormOptions; |
| 66 | flatbuffers::Offset<void> operatorBuiltinOptions = CreateL2NormOptions(flatBufferBuilder, |
| 67 | tflite::ActivationFunctionType_NONE).Union(); |
| 68 | |
| 69 | if (normalizationOperatorCode == tflite::BuiltinOperator_LOCAL_RESPONSE_NORMALIZATION) |
| 70 | { |
| 71 | operatorBuiltinOptionsType = BuiltinOptions_LocalResponseNormalizationOptions; |
| 72 | operatorBuiltinOptions = |
| 73 | CreateLocalResponseNormalizationOptions(flatBufferBuilder, radius, bias, alpha, beta).Union(); |
| 74 | } |
| 75 | |
| 76 | // create operator |
Keith Davis | 244b5bf | 2021-01-31 18:36:58 +0000 | [diff] [blame] | 77 | const std::vector<int32_t> operatorOutputs{ 1 }; |
Sadik Armagan | 4b227bb | 2021-01-22 10:53:38 +0000 | [diff] [blame] | 78 | flatbuffers::Offset <Operator> normalizationOperator = |
| 79 | CreateOperator(flatBufferBuilder, |
| 80 | 0, |
| 81 | flatBufferBuilder.CreateVector<int32_t>(operatorInputs.data(), operatorInputs.size()), |
| 82 | flatBufferBuilder.CreateVector<int32_t>(operatorOutputs.data(), operatorOutputs.size()), |
| 83 | operatorBuiltinOptionsType, |
| 84 | operatorBuiltinOptions); |
| 85 | |
Keith Davis | 244b5bf | 2021-01-31 18:36:58 +0000 | [diff] [blame] | 86 | const std::vector<int> subgraphOutputs{ 1 }; |
Sadik Armagan | 4b227bb | 2021-01-22 10:53:38 +0000 | [diff] [blame] | 87 | flatbuffers::Offset <SubGraph> subgraph = |
| 88 | CreateSubGraph(flatBufferBuilder, |
| 89 | flatBufferBuilder.CreateVector(tensors.data(), tensors.size()), |
| 90 | flatBufferBuilder.CreateVector<int32_t>(subgraphInputs.data(), subgraphInputs.size()), |
| 91 | flatBufferBuilder.CreateVector<int32_t>(subgraphOutputs.data(), subgraphOutputs.size()), |
| 92 | flatBufferBuilder.CreateVector(&normalizationOperator, 1)); |
| 93 | |
| 94 | flatbuffers::Offset <flatbuffers::String> modelDescription = |
| 95 | flatBufferBuilder.CreateString("ArmnnDelegate: Normalization Operator Model"); |
| 96 | flatbuffers::Offset <OperatorCode> operatorCode = CreateOperatorCode(flatBufferBuilder, |
| 97 | normalizationOperatorCode); |
| 98 | |
| 99 | flatbuffers::Offset <Model> flatbufferModel = |
| 100 | CreateModel(flatBufferBuilder, |
| 101 | TFLITE_SCHEMA_VERSION, |
| 102 | flatBufferBuilder.CreateVector(&operatorCode, 1), |
| 103 | flatBufferBuilder.CreateVector(&subgraph, 1), |
| 104 | modelDescription, |
| 105 | flatBufferBuilder.CreateVector(buffers.data(), buffers.size())); |
| 106 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 107 | flatBufferBuilder.Finish(flatbufferModel, armnnDelegate::FILE_IDENTIFIER); |
Sadik Armagan | 4b227bb | 2021-01-22 10:53:38 +0000 | [diff] [blame] | 108 | |
| 109 | return std::vector<char>(flatBufferBuilder.GetBufferPointer(), |
| 110 | flatBufferBuilder.GetBufferPointer() + flatBufferBuilder.GetSize()); |
| 111 | } |
| 112 | |
| 113 | template <typename T> |
| 114 | void NormalizationTest(tflite::BuiltinOperator normalizationOperatorCode, |
| 115 | tflite::TensorType tensorType, |
Sadik Armagan | 4b227bb | 2021-01-22 10:53:38 +0000 | [diff] [blame] | 116 | const std::vector<int32_t>& inputShape, |
| 117 | std::vector<int32_t>& outputShape, |
| 118 | std::vector<T>& inputValues, |
| 119 | std::vector<T>& expectedOutputValues, |
Colm Donelan | 7bcae3c | 2024-01-22 10:07:14 +0000 | [diff] [blame] | 120 | const std::vector<armnn::BackendId>& backends = {}, |
Sadik Armagan | 4b227bb | 2021-01-22 10:53:38 +0000 | [diff] [blame] | 121 | int32_t radius = 0, |
| 122 | float bias = 0.f, |
| 123 | float alpha = 0.f, |
| 124 | float beta = 0.f, |
| 125 | float quantScale = 1.0f, |
| 126 | int quantOffset = 0) |
| 127 | { |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 128 | using namespace delegateTestInterpreter; |
Sadik Armagan | 4b227bb | 2021-01-22 10:53:38 +0000 | [diff] [blame] | 129 | std::vector<char> modelBuffer = CreateNormalizationTfLiteModel(normalizationOperatorCode, |
| 130 | tensorType, |
| 131 | inputShape, |
| 132 | outputShape, |
| 133 | radius, |
| 134 | bias, |
| 135 | alpha, |
| 136 | beta, |
| 137 | quantScale, |
| 138 | quantOffset); |
| 139 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 140 | // Setup interpreter with just TFLite Runtime. |
| 141 | auto tfLiteInterpreter = DelegateTestInterpreter(modelBuffer); |
| 142 | CHECK(tfLiteInterpreter.AllocateTensors() == kTfLiteOk); |
| 143 | CHECK(tfLiteInterpreter.FillInputTensor<T>(inputValues, 0) == kTfLiteOk); |
| 144 | CHECK(tfLiteInterpreter.Invoke() == kTfLiteOk); |
| 145 | std::vector<T> tfLiteOutputValues = tfLiteInterpreter.GetOutputResult<T>(0); |
| 146 | std::vector<int32_t> tfLiteOutputShape = tfLiteInterpreter.GetOutputShape(0); |
Sadik Armagan | 4b227bb | 2021-01-22 10:53:38 +0000 | [diff] [blame] | 147 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 148 | // Setup interpreter with Arm NN Delegate applied. |
Colm Donelan | 7bcae3c | 2024-01-22 10:07:14 +0000 | [diff] [blame] | 149 | auto armnnInterpreter = DelegateTestInterpreter(modelBuffer, CaptureAvailableBackends(backends)); |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 150 | CHECK(armnnInterpreter.AllocateTensors() == kTfLiteOk); |
| 151 | CHECK(armnnInterpreter.FillInputTensor<T>(inputValues, 0) == kTfLiteOk); |
| 152 | CHECK(armnnInterpreter.Invoke() == kTfLiteOk); |
| 153 | std::vector<T> armnnOutputValues = armnnInterpreter.GetOutputResult<T>(0); |
| 154 | std::vector<int32_t> armnnOutputShape = armnnInterpreter.GetOutputShape(0); |
Sadik Armagan | 4b227bb | 2021-01-22 10:53:38 +0000 | [diff] [blame] | 155 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 156 | armnnDelegate::CompareOutputData<T>(tfLiteOutputValues, armnnOutputValues, expectedOutputValues); |
| 157 | armnnDelegate::CompareOutputShape(tfLiteOutputShape, armnnOutputShape, outputShape); |
Sadik Armagan | 4b227bb | 2021-01-22 10:53:38 +0000 | [diff] [blame] | 158 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 159 | tfLiteInterpreter.Cleanup(); |
| 160 | armnnInterpreter.Cleanup(); |
Sadik Armagan | 4b227bb | 2021-01-22 10:53:38 +0000 | [diff] [blame] | 161 | } |
| 162 | |
Colm Donelan | 7bcae3c | 2024-01-22 10:07:14 +0000 | [diff] [blame] | 163 | void L2NormalizationTest(const std::vector<armnn::BackendId>& backends = {}) |
Keith Davis | 7c67fab | 2021-04-08 11:47:23 +0100 | [diff] [blame] | 164 | { |
| 165 | // Set input data |
| 166 | std::vector<int32_t> inputShape { 1, 1, 1, 10 }; |
| 167 | std::vector<int32_t> outputShape { 1, 1, 1, 10 }; |
| 168 | |
| 169 | std::vector<float> inputValues |
| 170 | { |
| 171 | 1.0f, |
| 172 | 2.0f, |
| 173 | 3.0f, |
| 174 | 4.0f, |
| 175 | 5.0f, |
| 176 | 6.0f, |
| 177 | 7.0f, |
| 178 | 8.0f, |
| 179 | 9.0f, |
| 180 | 10.0f |
| 181 | }; |
| 182 | |
| 183 | const float approxInvL2Norm = 0.050964719f; |
| 184 | std::vector<float> expectedOutputValues |
| 185 | { |
| 186 | 1.0f * approxInvL2Norm, |
| 187 | 2.0f * approxInvL2Norm, |
| 188 | 3.0f * approxInvL2Norm, |
| 189 | 4.0f * approxInvL2Norm, |
| 190 | 5.0f * approxInvL2Norm, |
| 191 | 6.0f * approxInvL2Norm, |
| 192 | 7.0f * approxInvL2Norm, |
| 193 | 8.0f * approxInvL2Norm, |
| 194 | 9.0f * approxInvL2Norm, |
| 195 | 10.0f * approxInvL2Norm |
| 196 | }; |
| 197 | |
| 198 | NormalizationTest<float>(tflite::BuiltinOperator_L2_NORMALIZATION, |
| 199 | ::tflite::TensorType_FLOAT32, |
Keith Davis | 7c67fab | 2021-04-08 11:47:23 +0100 | [diff] [blame] | 200 | inputShape, |
| 201 | outputShape, |
| 202 | inputValues, |
Colm Donelan | 7bcae3c | 2024-01-22 10:07:14 +0000 | [diff] [blame] | 203 | expectedOutputValues, |
| 204 | backends); |
Keith Davis | 7c67fab | 2021-04-08 11:47:23 +0100 | [diff] [blame] | 205 | } |
| 206 | |
Colm Donelan | 7bcae3c | 2024-01-22 10:07:14 +0000 | [diff] [blame] | 207 | void LocalResponseNormalizationTest(int32_t radius, |
Keith Davis | 7c67fab | 2021-04-08 11:47:23 +0100 | [diff] [blame] | 208 | float bias, |
| 209 | float alpha, |
Colm Donelan | 7bcae3c | 2024-01-22 10:07:14 +0000 | [diff] [blame] | 210 | float beta, |
| 211 | const std::vector<armnn::BackendId>& backends = {}) |
Keith Davis | 7c67fab | 2021-04-08 11:47:23 +0100 | [diff] [blame] | 212 | { |
| 213 | // Set input data |
| 214 | std::vector<int32_t> inputShape { 2, 2, 2, 1 }; |
| 215 | std::vector<int32_t> outputShape { 2, 2, 2, 1 }; |
| 216 | |
| 217 | std::vector<float> inputValues |
| 218 | { |
| 219 | 1.0f, 2.0f, |
| 220 | 3.0f, 4.0f, |
| 221 | 5.0f, 6.0f, |
| 222 | 7.0f, 8.0f |
| 223 | }; |
| 224 | |
| 225 | std::vector<float> expectedOutputValues |
| 226 | { |
| 227 | 0.5f, 0.400000006f, 0.300000012f, 0.235294119f, |
| 228 | 0.192307696f, 0.16216217f, 0.140000001f, 0.123076923f |
| 229 | }; |
| 230 | |
| 231 | NormalizationTest<float>(tflite::BuiltinOperator_LOCAL_RESPONSE_NORMALIZATION, |
| 232 | ::tflite::TensorType_FLOAT32, |
Keith Davis | 7c67fab | 2021-04-08 11:47:23 +0100 | [diff] [blame] | 233 | inputShape, |
| 234 | outputShape, |
| 235 | inputValues, |
| 236 | expectedOutputValues, |
Colm Donelan | 7bcae3c | 2024-01-22 10:07:14 +0000 | [diff] [blame] | 237 | backends, |
Keith Davis | 7c67fab | 2021-04-08 11:47:23 +0100 | [diff] [blame] | 238 | radius, |
| 239 | bias, |
| 240 | alpha, |
| 241 | beta); |
| 242 | } |
| 243 | |
Sadik Armagan | 4b227bb | 2021-01-22 10:53:38 +0000 | [diff] [blame] | 244 | } // anonymous namespace |