Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +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. |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #pragma once |
| 7 | |
Sadik Armagan | f7ac72c | 2021-05-05 15:03:50 +0100 | [diff] [blame] | 8 | #include "TestUtils.hpp" |
| 9 | |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 10 | #include <armnn_delegate.hpp> |
| 11 | |
| 12 | #include <flatbuffers/flatbuffers.h> |
| 13 | #include <tensorflow/lite/interpreter.h> |
| 14 | #include <tensorflow/lite/kernels/register.h> |
| 15 | #include <tensorflow/lite/model.h> |
Teresa Charlin | ad1b3d7 | 2023-03-14 12:10:28 +0000 | [diff] [blame^] | 16 | #include <schema_generated.h> |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 17 | #include <tensorflow/lite/version.h> |
| 18 | |
| 19 | #include <doctest/doctest.h> |
| 20 | |
| 21 | namespace |
| 22 | { |
| 23 | |
Sadik Armagan | f7ac72c | 2021-05-05 15:03:50 +0100 | [diff] [blame] | 24 | template <typename T> |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 25 | std::vector<char> CreateElementwiseBinaryTfLiteModel(tflite::BuiltinOperator binaryOperatorCode, |
| 26 | tflite::ActivationFunctionType activationType, |
| 27 | tflite::TensorType tensorType, |
| 28 | const std::vector <int32_t>& input0TensorShape, |
| 29 | const std::vector <int32_t>& input1TensorShape, |
Sadik Armagan | 21a94ff | 2020-11-09 08:38:30 +0000 | [diff] [blame] | 30 | const std::vector <int32_t>& outputTensorShape, |
Sadik Armagan | f7ac72c | 2021-05-05 15:03:50 +0100 | [diff] [blame] | 31 | std::vector<T>& input1Values, |
| 32 | bool constantInput = false, |
Sadik Armagan | 21a94ff | 2020-11-09 08:38:30 +0000 | [diff] [blame] | 33 | float quantScale = 1.0f, |
| 34 | int quantOffset = 0) |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 35 | { |
| 36 | using namespace tflite; |
| 37 | flatbuffers::FlatBufferBuilder flatBufferBuilder; |
| 38 | |
| 39 | std::vector<flatbuffers::Offset<tflite::Buffer>> buffers; |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 40 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
| 41 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
Sadik Armagan | f7ac72c | 2021-05-05 15:03:50 +0100 | [diff] [blame] | 42 | if (constantInput) |
| 43 | { |
| 44 | buffers.push_back( |
| 45 | CreateBuffer(flatBufferBuilder, |
| 46 | flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>(input1Values.data()), |
| 47 | sizeof(T) * input1Values.size()))); |
| 48 | } |
| 49 | else |
| 50 | { |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 51 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
Sadik Armagan | f7ac72c | 2021-05-05 15:03:50 +0100 | [diff] [blame] | 52 | } |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 53 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 54 | |
Sadik Armagan | 21a94ff | 2020-11-09 08:38:30 +0000 | [diff] [blame] | 55 | auto quantizationParameters = |
| 56 | CreateQuantizationParameters(flatBufferBuilder, |
| 57 | 0, |
| 58 | 0, |
| 59 | flatBufferBuilder.CreateVector<float>({ quantScale }), |
| 60 | flatBufferBuilder.CreateVector<int64_t>({ quantOffset })); |
| 61 | |
| 62 | |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 63 | std::array<flatbuffers::Offset<Tensor>, 3> tensors; |
| 64 | tensors[0] = CreateTensor(flatBufferBuilder, |
| 65 | flatBufferBuilder.CreateVector<int32_t>(input0TensorShape.data(), |
| 66 | input0TensorShape.size()), |
Sadik Armagan | 21a94ff | 2020-11-09 08:38:30 +0000 | [diff] [blame] | 67 | tensorType, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 68 | 1, |
Sadik Armagan | 21a94ff | 2020-11-09 08:38:30 +0000 | [diff] [blame] | 69 | flatBufferBuilder.CreateString("input_0"), |
| 70 | quantizationParameters); |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 71 | tensors[1] = CreateTensor(flatBufferBuilder, |
| 72 | flatBufferBuilder.CreateVector<int32_t>(input1TensorShape.data(), |
| 73 | input1TensorShape.size()), |
Sadik Armagan | 21a94ff | 2020-11-09 08:38:30 +0000 | [diff] [blame] | 74 | tensorType, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 75 | 2, |
Sadik Armagan | 21a94ff | 2020-11-09 08:38:30 +0000 | [diff] [blame] | 76 | flatBufferBuilder.CreateString("input_1"), |
| 77 | quantizationParameters); |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 78 | tensors[2] = CreateTensor(flatBufferBuilder, |
| 79 | flatBufferBuilder.CreateVector<int32_t>(outputTensorShape.data(), |
| 80 | outputTensorShape.size()), |
Sadik Armagan | 21a94ff | 2020-11-09 08:38:30 +0000 | [diff] [blame] | 81 | tensorType, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 82 | 3, |
Sadik Armagan | 21a94ff | 2020-11-09 08:38:30 +0000 | [diff] [blame] | 83 | flatBufferBuilder.CreateString("output"), |
| 84 | quantizationParameters); |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 85 | |
| 86 | // create operator |
| 87 | tflite::BuiltinOptions operatorBuiltinOptionsType = tflite::BuiltinOptions_NONE; |
| 88 | flatbuffers::Offset<void> operatorBuiltinOptions = 0; |
| 89 | switch (binaryOperatorCode) |
| 90 | { |
| 91 | case BuiltinOperator_ADD: |
| 92 | { |
| 93 | operatorBuiltinOptionsType = BuiltinOptions_AddOptions; |
| 94 | operatorBuiltinOptions = CreateAddOptions(flatBufferBuilder, activationType).Union(); |
| 95 | break; |
| 96 | } |
| 97 | case BuiltinOperator_DIV: |
| 98 | { |
| 99 | operatorBuiltinOptionsType = BuiltinOptions_DivOptions; |
| 100 | operatorBuiltinOptions = CreateDivOptions(flatBufferBuilder, activationType).Union(); |
| 101 | break; |
| 102 | } |
Sadik Armagan | 21a94ff | 2020-11-09 08:38:30 +0000 | [diff] [blame] | 103 | case BuiltinOperator_MAXIMUM: |
| 104 | { |
| 105 | operatorBuiltinOptionsType = BuiltinOptions_MaximumMinimumOptions; |
| 106 | operatorBuiltinOptions = CreateMaximumMinimumOptions(flatBufferBuilder).Union(); |
| 107 | break; |
| 108 | } |
| 109 | case BuiltinOperator_MINIMUM: |
| 110 | { |
| 111 | operatorBuiltinOptionsType = BuiltinOptions_MaximumMinimumOptions; |
| 112 | operatorBuiltinOptions = CreateMaximumMinimumOptions(flatBufferBuilder).Union(); |
| 113 | break; |
| 114 | } |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 115 | case BuiltinOperator_MUL: |
| 116 | { |
| 117 | operatorBuiltinOptionsType = BuiltinOptions_MulOptions; |
| 118 | operatorBuiltinOptions = CreateMulOptions(flatBufferBuilder, activationType).Union(); |
| 119 | break; |
| 120 | } |
| 121 | case BuiltinOperator_SUB: |
| 122 | { |
| 123 | operatorBuiltinOptionsType = BuiltinOptions_SubOptions; |
| 124 | operatorBuiltinOptions = CreateSubOptions(flatBufferBuilder, activationType).Union(); |
| 125 | break; |
| 126 | } |
Jim Flynn | 4b2f347 | 2021-10-13 21:20:07 +0100 | [diff] [blame] | 127 | case BuiltinOperator_FLOOR_DIV: |
| 128 | { |
| 129 | operatorBuiltinOptionsType = tflite::BuiltinOptions_FloorDivOptions; |
| 130 | operatorBuiltinOptions = CreateSubOptions(flatBufferBuilder, activationType).Union(); |
| 131 | break; |
| 132 | } |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 133 | default: |
| 134 | break; |
| 135 | } |
Keith Davis | 892fafe | 2020-11-26 17:40:35 +0000 | [diff] [blame] | 136 | const std::vector<int32_t> operatorInputs{0, 1}; |
| 137 | const std::vector<int32_t> operatorOutputs{2}; |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 138 | flatbuffers::Offset <Operator> elementwiseBinaryOperator = |
| 139 | CreateOperator(flatBufferBuilder, |
| 140 | 0, |
| 141 | flatBufferBuilder.CreateVector<int32_t>(operatorInputs.data(), operatorInputs.size()), |
| 142 | flatBufferBuilder.CreateVector<int32_t>(operatorOutputs.data(), operatorOutputs.size()), |
| 143 | operatorBuiltinOptionsType, |
| 144 | operatorBuiltinOptions); |
| 145 | |
Keith Davis | 892fafe | 2020-11-26 17:40:35 +0000 | [diff] [blame] | 146 | const std::vector<int> subgraphInputs{0, 1}; |
| 147 | const std::vector<int> subgraphOutputs{2}; |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 148 | flatbuffers::Offset <SubGraph> subgraph = |
| 149 | CreateSubGraph(flatBufferBuilder, |
| 150 | flatBufferBuilder.CreateVector(tensors.data(), tensors.size()), |
| 151 | flatBufferBuilder.CreateVector<int32_t>(subgraphInputs.data(), subgraphInputs.size()), |
| 152 | flatBufferBuilder.CreateVector<int32_t>(subgraphOutputs.data(), subgraphOutputs.size()), |
| 153 | flatBufferBuilder.CreateVector(&elementwiseBinaryOperator, 1)); |
| 154 | |
| 155 | flatbuffers::Offset <flatbuffers::String> modelDescription = |
| 156 | flatBufferBuilder.CreateString("ArmnnDelegate: Elementwise Binary Operator Model"); |
| 157 | flatbuffers::Offset <OperatorCode> operatorCode = CreateOperatorCode(flatBufferBuilder, binaryOperatorCode); |
| 158 | |
| 159 | flatbuffers::Offset <Model> flatbufferModel = |
| 160 | CreateModel(flatBufferBuilder, |
| 161 | TFLITE_SCHEMA_VERSION, |
| 162 | flatBufferBuilder.CreateVector(&operatorCode, 1), |
| 163 | flatBufferBuilder.CreateVector(&subgraph, 1), |
| 164 | modelDescription, |
| 165 | flatBufferBuilder.CreateVector(buffers.data(), buffers.size())); |
| 166 | |
| 167 | flatBufferBuilder.Finish(flatbufferModel); |
| 168 | |
| 169 | return std::vector<char>(flatBufferBuilder.GetBufferPointer(), |
| 170 | flatBufferBuilder.GetBufferPointer() + flatBufferBuilder.GetSize()); |
| 171 | } |
| 172 | |
Sadik Armagan | 21a94ff | 2020-11-09 08:38:30 +0000 | [diff] [blame] | 173 | template <typename T> |
| 174 | void ElementwiseBinaryTest(tflite::BuiltinOperator binaryOperatorCode, |
| 175 | tflite::ActivationFunctionType activationType, |
| 176 | tflite::TensorType tensorType, |
| 177 | std::vector<armnn::BackendId>& backends, |
| 178 | std::vector<int32_t>& input0Shape, |
| 179 | std::vector<int32_t>& input1Shape, |
| 180 | std::vector<int32_t>& outputShape, |
| 181 | std::vector<T>& input0Values, |
| 182 | std::vector<T>& input1Values, |
| 183 | std::vector<T>& expectedOutputValues, |
| 184 | float quantScale = 1.0f, |
Sadik Armagan | f7ac72c | 2021-05-05 15:03:50 +0100 | [diff] [blame] | 185 | int quantOffset = 0, |
| 186 | bool constantInput = false) |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 187 | { |
| 188 | using namespace tflite; |
Sadik Armagan | f7ac72c | 2021-05-05 15:03:50 +0100 | [diff] [blame] | 189 | std::vector<char> modelBuffer = CreateElementwiseBinaryTfLiteModel<T>(binaryOperatorCode, |
| 190 | activationType, |
| 191 | tensorType, |
| 192 | input0Shape, |
| 193 | input1Shape, |
| 194 | outputShape, |
| 195 | input1Values, |
| 196 | constantInput, |
| 197 | quantScale, |
| 198 | quantOffset); |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 199 | |
| 200 | const Model* tfLiteModel = GetModel(modelBuffer.data()); |
| 201 | // Create TfLite Interpreters |
Sadik Armagan | f7ac72c | 2021-05-05 15:03:50 +0100 | [diff] [blame] | 202 | std::unique_ptr <Interpreter> armnnDelegateInterpreter; |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 203 | CHECK(InterpreterBuilder(tfLiteModel, ::tflite::ops::builtin::BuiltinOpResolver()) |
| 204 | (&armnnDelegateInterpreter) == kTfLiteOk); |
| 205 | CHECK(armnnDelegateInterpreter != nullptr); |
| 206 | CHECK(armnnDelegateInterpreter->AllocateTensors() == kTfLiteOk); |
| 207 | |
Sadik Armagan | f7ac72c | 2021-05-05 15:03:50 +0100 | [diff] [blame] | 208 | std::unique_ptr <Interpreter> tfLiteInterpreter; |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 209 | CHECK(InterpreterBuilder(tfLiteModel, ::tflite::ops::builtin::BuiltinOpResolver()) |
| 210 | (&tfLiteInterpreter) == kTfLiteOk); |
| 211 | CHECK(tfLiteInterpreter != nullptr); |
| 212 | CHECK(tfLiteInterpreter->AllocateTensors() == kTfLiteOk); |
| 213 | |
| 214 | // Create the ArmNN Delegate |
| 215 | armnnDelegate::DelegateOptions delegateOptions(backends); |
| 216 | std::unique_ptr<TfLiteDelegate, decltype(&armnnDelegate::TfLiteArmnnDelegateDelete)> |
Sadik Armagan | f7ac72c | 2021-05-05 15:03:50 +0100 | [diff] [blame] | 217 | theArmnnDelegate(armnnDelegate::TfLiteArmnnDelegateCreate(delegateOptions), |
| 218 | armnnDelegate::TfLiteArmnnDelegateDelete); |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 219 | CHECK(theArmnnDelegate != nullptr); |
| 220 | // Modify armnnDelegateInterpreter to use armnnDelegate |
| 221 | CHECK(armnnDelegateInterpreter->ModifyGraphWithDelegate(theArmnnDelegate.get()) == kTfLiteOk); |
| 222 | |
| 223 | // Set input data |
Sadik Armagan | f7ac72c | 2021-05-05 15:03:50 +0100 | [diff] [blame] | 224 | armnnDelegate::FillInput<T>(tfLiteInterpreter, 0, input0Values); |
| 225 | armnnDelegate::FillInput<T>(armnnDelegateInterpreter, 0, input0Values); |
| 226 | if (!constantInput) |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 227 | { |
Sadik Armagan | f7ac72c | 2021-05-05 15:03:50 +0100 | [diff] [blame] | 228 | armnnDelegate::FillInput<T>(tfLiteInterpreter, 1, input1Values); |
| 229 | armnnDelegate::FillInput<T>(armnnDelegateInterpreter, 1, input1Values); |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 230 | } |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 231 | // Run EnqueWorkload |
| 232 | CHECK(tfLiteInterpreter->Invoke() == kTfLiteOk); |
| 233 | CHECK(armnnDelegateInterpreter->Invoke() == kTfLiteOk); |
| 234 | |
| 235 | // Compare output data |
Sadik Armagan | f7ac72c | 2021-05-05 15:03:50 +0100 | [diff] [blame] | 236 | armnnDelegate::CompareOutputData<T>(tfLiteInterpreter, |
| 237 | armnnDelegateInterpreter, |
| 238 | outputShape, |
| 239 | expectedOutputValues); |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 240 | armnnDelegateInterpreter.reset(nullptr); |
| 241 | } |
| 242 | |
Sadik Armagan | 21a94ff | 2020-11-09 08:38:30 +0000 | [diff] [blame] | 243 | } // anonymous namespace |