Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +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. |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #pragma once |
| 7 | |
Jan Eilers | 3812fbc | 2020-11-17 19:06:35 +0000 | [diff] [blame] | 8 | #include "TestUtils.hpp" |
| 9 | |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 10 | #include <armnn_delegate.hpp> |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 11 | #include <DelegateTestInterpreter.hpp> |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 12 | |
| 13 | #include <flatbuffers/flatbuffers.h> |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 14 | #include <tensorflow/lite/kernels/register.h> |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +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 | |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 19 | #include <doctest/doctest.h> |
| 20 | |
| 21 | namespace |
| 22 | { |
| 23 | |
| 24 | std::vector<char> CreatePooling2dTfLiteModel( |
| 25 | tflite::BuiltinOperator poolingOperatorCode, |
| 26 | tflite::TensorType tensorType, |
| 27 | const std::vector <int32_t>& inputTensorShape, |
| 28 | const std::vector <int32_t>& outputTensorShape, |
| 29 | tflite::Padding padding = tflite::Padding_SAME, |
| 30 | int32_t strideWidth = 0, |
| 31 | int32_t strideHeight = 0, |
| 32 | int32_t filterWidth = 0, |
| 33 | int32_t filterHeight = 0, |
| 34 | tflite::ActivationFunctionType fusedActivation = tflite::ActivationFunctionType_NONE, |
| 35 | float quantScale = 1.0f, |
| 36 | int quantOffset = 0) |
| 37 | { |
| 38 | using namespace tflite; |
| 39 | flatbuffers::FlatBufferBuilder flatBufferBuilder; |
| 40 | |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 41 | flatbuffers::Offset<tflite::Buffer> buffers[3] = {CreateBuffer(flatBufferBuilder), |
| 42 | CreateBuffer(flatBufferBuilder), |
| 43 | CreateBuffer(flatBufferBuilder)}; |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 44 | |
| 45 | auto quantizationParameters = |
| 46 | CreateQuantizationParameters(flatBufferBuilder, |
| 47 | 0, |
| 48 | 0, |
| 49 | flatBufferBuilder.CreateVector<float>({ quantScale }), |
| 50 | flatBufferBuilder.CreateVector<int64_t>({ quantOffset })); |
| 51 | |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 52 | flatbuffers::Offset<Tensor> tensors[2] { |
| 53 | CreateTensor(flatBufferBuilder, |
| 54 | flatBufferBuilder.CreateVector<int32_t>(inputTensorShape), |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 55 | tensorType, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 56 | 1, |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 57 | flatBufferBuilder.CreateString("input"), |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 58 | quantizationParameters), |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 59 | |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 60 | CreateTensor(flatBufferBuilder, |
| 61 | flatBufferBuilder.CreateVector<int32_t>(outputTensorShape), |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 62 | tensorType, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 63 | 2, |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 64 | flatBufferBuilder.CreateString("output"), |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 65 | quantizationParameters) |
| 66 | }; |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 67 | |
| 68 | // create operator |
| 69 | tflite::BuiltinOptions operatorBuiltinOptionsType = BuiltinOptions_Pool2DOptions; |
| 70 | flatbuffers::Offset<void> operatorBuiltinOptions = CreatePool2DOptions(flatBufferBuilder, |
| 71 | padding, |
| 72 | strideWidth, |
| 73 | strideHeight, |
| 74 | filterWidth, |
| 75 | filterHeight, |
| 76 | fusedActivation).Union(); |
| 77 | |
Keith Davis | 892fafe | 2020-11-26 17:40:35 +0000 | [diff] [blame] | 78 | const std::vector<int32_t> operatorInputs{0}; |
| 79 | const std::vector<int32_t> operatorOutputs{1}; |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 80 | flatbuffers::Offset <Operator> poolingOperator = |
| 81 | CreateOperator(flatBufferBuilder, |
| 82 | 0, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 83 | flatBufferBuilder.CreateVector<int32_t>(operatorInputs), |
| 84 | flatBufferBuilder.CreateVector<int32_t>(operatorOutputs), |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 85 | operatorBuiltinOptionsType, |
| 86 | operatorBuiltinOptions); |
| 87 | |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 88 | const int subgraphInputs[1] = {0}; |
| 89 | const int subgraphOutputs[1] = {1}; |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 90 | flatbuffers::Offset <SubGraph> subgraph = |
| 91 | CreateSubGraph(flatBufferBuilder, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 92 | flatBufferBuilder.CreateVector(tensors, 2), |
| 93 | flatBufferBuilder.CreateVector<int32_t>(subgraphInputs, 1), |
| 94 | flatBufferBuilder.CreateVector<int32_t>(subgraphOutputs, 1), |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 95 | flatBufferBuilder.CreateVector(&poolingOperator, 1)); |
| 96 | |
| 97 | flatbuffers::Offset <flatbuffers::String> modelDescription = |
| 98 | flatBufferBuilder.CreateString("ArmnnDelegate: Pooling2d Operator Model"); |
| 99 | flatbuffers::Offset <OperatorCode> operatorCode = CreateOperatorCode(flatBufferBuilder, poolingOperatorCode); |
| 100 | |
| 101 | flatbuffers::Offset <Model> flatbufferModel = |
| 102 | CreateModel(flatBufferBuilder, |
| 103 | TFLITE_SCHEMA_VERSION, |
| 104 | flatBufferBuilder.CreateVector(&operatorCode, 1), |
| 105 | flatBufferBuilder.CreateVector(&subgraph, 1), |
| 106 | modelDescription, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 107 | flatBufferBuilder.CreateVector(buffers, 3)); |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 108 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 109 | flatBufferBuilder.Finish(flatbufferModel, armnnDelegate::FILE_IDENTIFIER); |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 110 | |
| 111 | return std::vector<char>(flatBufferBuilder.GetBufferPointer(), |
| 112 | flatBufferBuilder.GetBufferPointer() + flatBufferBuilder.GetSize()); |
| 113 | } |
| 114 | |
| 115 | template <typename T> |
| 116 | void Pooling2dTest(tflite::BuiltinOperator poolingOperatorCode, |
| 117 | tflite::TensorType tensorType, |
| 118 | std::vector<armnn::BackendId>& backends, |
| 119 | std::vector<int32_t>& inputShape, |
| 120 | std::vector<int32_t>& outputShape, |
| 121 | std::vector<T>& inputValues, |
| 122 | std::vector<T>& expectedOutputValues, |
| 123 | tflite::Padding padding = tflite::Padding_SAME, |
| 124 | int32_t strideWidth = 0, |
| 125 | int32_t strideHeight = 0, |
| 126 | int32_t filterWidth = 0, |
| 127 | int32_t filterHeight = 0, |
| 128 | tflite::ActivationFunctionType fusedActivation = tflite::ActivationFunctionType_NONE, |
| 129 | float quantScale = 1.0f, |
| 130 | int quantOffset = 0) |
| 131 | { |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 132 | using namespace delegateTestInterpreter; |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 133 | std::vector<char> modelBuffer = CreatePooling2dTfLiteModel(poolingOperatorCode, |
| 134 | tensorType, |
| 135 | inputShape, |
| 136 | outputShape, |
| 137 | padding, |
| 138 | strideWidth, |
| 139 | strideHeight, |
| 140 | filterWidth, |
| 141 | filterHeight, |
| 142 | fusedActivation, |
| 143 | quantScale, |
| 144 | quantOffset); |
| 145 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 146 | // Setup interpreter with just TFLite Runtime. |
| 147 | auto tfLiteInterpreter = DelegateTestInterpreter(modelBuffer); |
| 148 | CHECK(tfLiteInterpreter.AllocateTensors() == kTfLiteOk); |
| 149 | CHECK(tfLiteInterpreter.FillInputTensor<T>(inputValues, 0) == kTfLiteOk); |
| 150 | CHECK(tfLiteInterpreter.Invoke() == kTfLiteOk); |
| 151 | std::vector<T> tfLiteOutputValues = tfLiteInterpreter.GetOutputResult<T>(0); |
| 152 | std::vector<int32_t> tfLiteOutputShape = tfLiteInterpreter.GetOutputShape(0); |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 153 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 154 | // Setup interpreter with Arm NN Delegate applied. |
| 155 | auto armnnInterpreter = DelegateTestInterpreter(modelBuffer, backends); |
| 156 | CHECK(armnnInterpreter.AllocateTensors() == kTfLiteOk); |
| 157 | CHECK(armnnInterpreter.FillInputTensor<T>(inputValues, 0) == kTfLiteOk); |
| 158 | CHECK(armnnInterpreter.Invoke() == kTfLiteOk); |
| 159 | std::vector<T> armnnOutputValues = armnnInterpreter.GetOutputResult<T>(0); |
| 160 | std::vector<int32_t> armnnOutputShape = armnnInterpreter.GetOutputShape(0); |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 161 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 162 | armnnDelegate::CompareOutputData<T>(tfLiteOutputValues, armnnOutputValues, expectedOutputValues); |
| 163 | armnnDelegate::CompareOutputShape(tfLiteOutputShape, armnnOutputShape, outputShape); |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 164 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 165 | tfLiteInterpreter.Cleanup(); |
| 166 | armnnInterpreter.Cleanup(); |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 167 | } |
| 168 | |
| 169 | } // anonymous namespace |
| 170 | |
| 171 | |
| 172 | |
| 173 | |