Matthew Sloyan | a7a12f5 | 2021-05-06 10:05:28 +0100 | [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. |
Matthew Sloyan | a7a12f5 | 2021-05-06 10:05:28 +0100 | [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> |
Matthew Sloyan | a7a12f5 | 2021-05-06 10:05:28 +0100 | [diff] [blame] | 12 | |
Matthew Sloyan | a7a12f5 | 2021-05-06 10:05:28 +0100 | [diff] [blame] | 13 | #include <tensorflow/lite/version.h> |
| 14 | |
Matthew Sloyan | a7a12f5 | 2021-05-06 10:05:28 +0100 | [diff] [blame] | 15 | namespace |
| 16 | { |
| 17 | |
| 18 | std::vector<char> CreatePackTfLiteModel(tflite::BuiltinOperator packOperatorCode, |
| 19 | tflite::TensorType tensorType, |
| 20 | std::vector<int32_t>& inputTensorShape, |
| 21 | const std::vector <int32_t>& outputTensorShape, |
| 22 | const int32_t inputTensorNum, |
| 23 | unsigned int axis = 0, |
| 24 | float quantScale = 1.0f, |
| 25 | int quantOffset = 0) |
| 26 | { |
| 27 | using namespace tflite; |
| 28 | flatbuffers::FlatBufferBuilder flatBufferBuilder; |
| 29 | |
| 30 | std::vector<flatbuffers::Offset<tflite::Buffer>> buffers; |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 31 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
| 32 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
Matthew Sloyan | a7a12f5 | 2021-05-06 10:05:28 +0100 | [diff] [blame] | 33 | |
| 34 | auto quantizationParameters = |
| 35 | CreateQuantizationParameters(flatBufferBuilder, |
| 36 | 0, |
| 37 | 0, |
| 38 | flatBufferBuilder.CreateVector<float>({ quantScale }), |
| 39 | flatBufferBuilder.CreateVector<int64_t>({ quantOffset })); |
| 40 | |
| 41 | std::vector<int32_t> operatorInputs{}; |
| 42 | const std::vector<int32_t> operatorOutputs{inputTensorNum}; |
| 43 | std::vector<int> subgraphInputs{}; |
| 44 | const std::vector<int> subgraphOutputs{inputTensorNum}; |
| 45 | |
| 46 | std::vector<flatbuffers::Offset<Tensor>> tensors(inputTensorNum + 1); |
| 47 | for (int i = 0; i < inputTensorNum; ++i) |
| 48 | { |
| 49 | tensors[i] = CreateTensor(flatBufferBuilder, |
| 50 | flatBufferBuilder.CreateVector<int32_t>(inputTensorShape.data(), |
| 51 | inputTensorShape.size()), |
| 52 | tensorType, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 53 | 1, |
Matthew Sloyan | a7a12f5 | 2021-05-06 10:05:28 +0100 | [diff] [blame] | 54 | flatBufferBuilder.CreateString("input" + std::to_string(i)), |
| 55 | quantizationParameters); |
| 56 | |
| 57 | // Add number of inputs to vector. |
| 58 | operatorInputs.push_back(i); |
| 59 | subgraphInputs.push_back(i); |
| 60 | } |
| 61 | |
| 62 | // Create output tensor |
| 63 | tensors[inputTensorNum] = CreateTensor(flatBufferBuilder, |
| 64 | flatBufferBuilder.CreateVector<int32_t>(outputTensorShape.data(), |
| 65 | outputTensorShape.size()), |
| 66 | tensorType, |
| 67 | 0, |
| 68 | flatBufferBuilder.CreateString("output"), |
| 69 | quantizationParameters); |
| 70 | |
| 71 | // create operator |
| 72 | tflite::BuiltinOptions operatorBuiltinOptionsType = tflite::BuiltinOptions_PackOptions; |
| 73 | flatbuffers::Offset<void> operatorBuiltinOptions = |
| 74 | CreatePackOptions(flatBufferBuilder, inputTensorNum, axis).Union(); |
| 75 | |
| 76 | flatbuffers::Offset <Operator> packOperator = |
| 77 | CreateOperator(flatBufferBuilder, |
| 78 | 0, |
| 79 | flatBufferBuilder.CreateVector<int32_t>(operatorInputs.data(), operatorInputs.size()), |
| 80 | flatBufferBuilder.CreateVector<int32_t>(operatorOutputs.data(), operatorOutputs.size()), |
| 81 | operatorBuiltinOptionsType, |
| 82 | operatorBuiltinOptions); |
| 83 | |
| 84 | flatbuffers::Offset <SubGraph> subgraph = |
| 85 | CreateSubGraph(flatBufferBuilder, |
| 86 | flatBufferBuilder.CreateVector(tensors.data(), tensors.size()), |
| 87 | flatBufferBuilder.CreateVector<int32_t>(subgraphInputs.data(), subgraphInputs.size()), |
| 88 | flatBufferBuilder.CreateVector<int32_t>(subgraphOutputs.data(), subgraphOutputs.size()), |
| 89 | flatBufferBuilder.CreateVector(&packOperator, 1)); |
| 90 | |
| 91 | flatbuffers::Offset <flatbuffers::String> modelDescription = |
| 92 | flatBufferBuilder.CreateString("ArmnnDelegate: Pack Operator Model"); |
| 93 | flatbuffers::Offset <OperatorCode> operatorCode = CreateOperatorCode(flatBufferBuilder, packOperatorCode); |
| 94 | |
| 95 | flatbuffers::Offset <Model> flatbufferModel = |
| 96 | CreateModel(flatBufferBuilder, |
| 97 | TFLITE_SCHEMA_VERSION, |
| 98 | flatBufferBuilder.CreateVector(&operatorCode, 1), |
| 99 | flatBufferBuilder.CreateVector(&subgraph, 1), |
| 100 | modelDescription, |
| 101 | flatBufferBuilder.CreateVector(buffers.data(), buffers.size())); |
| 102 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 103 | flatBufferBuilder.Finish(flatbufferModel, armnnDelegate::FILE_IDENTIFIER); |
Matthew Sloyan | a7a12f5 | 2021-05-06 10:05:28 +0100 | [diff] [blame] | 104 | |
| 105 | return std::vector<char>(flatBufferBuilder.GetBufferPointer(), |
| 106 | flatBufferBuilder.GetBufferPointer() + flatBufferBuilder.GetSize()); |
| 107 | } |
| 108 | |
| 109 | template <typename T> |
| 110 | void PackTest(tflite::BuiltinOperator packOperatorCode, |
| 111 | tflite::TensorType tensorType, |
Matthew Sloyan | a7a12f5 | 2021-05-06 10:05:28 +0100 | [diff] [blame] | 112 | std::vector<int32_t>& inputShape, |
| 113 | std::vector<int32_t>& expectedOutputShape, |
| 114 | std::vector<std::vector<T>>& inputValues, |
| 115 | std::vector<T>& expectedOutputValues, |
Colm Donelan | 7bcae3c | 2024-01-22 10:07:14 +0000 | [diff] [blame] | 116 | const std::vector<armnn::BackendId>& backends = {}, |
Matthew Sloyan | a7a12f5 | 2021-05-06 10:05:28 +0100 | [diff] [blame] | 117 | unsigned int axis = 0, |
| 118 | float quantScale = 1.0f, |
| 119 | int quantOffset = 0) |
| 120 | { |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 121 | using namespace delegateTestInterpreter; |
Matthew Sloyan | a7a12f5 | 2021-05-06 10:05:28 +0100 | [diff] [blame] | 122 | std::vector<char> modelBuffer = CreatePackTfLiteModel(packOperatorCode, |
| 123 | tensorType, |
| 124 | inputShape, |
| 125 | expectedOutputShape, |
| 126 | inputValues.size(), |
| 127 | axis, |
| 128 | quantScale, |
| 129 | quantOffset); |
| 130 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 131 | // Setup interpreter with just TFLite Runtime. |
| 132 | auto tfLiteInterpreter = DelegateTestInterpreter(modelBuffer); |
| 133 | CHECK(tfLiteInterpreter.AllocateTensors() == kTfLiteOk); |
Matthew Sloyan | a7a12f5 | 2021-05-06 10:05:28 +0100 | [diff] [blame] | 134 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 135 | // Setup interpreter with Arm NN Delegate applied. |
Colm Donelan | 7bcae3c | 2024-01-22 10:07:14 +0000 | [diff] [blame] | 136 | auto armnnInterpreter = DelegateTestInterpreter(modelBuffer, CaptureAvailableBackends(backends)); |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 137 | CHECK(armnnInterpreter.AllocateTensors() == kTfLiteOk); |
Matthew Sloyan | a7a12f5 | 2021-05-06 10:05:28 +0100 | [diff] [blame] | 138 | |
| 139 | // Set input data for all input tensors. |
| 140 | for (unsigned int i = 0; i < inputValues.size(); ++i) |
| 141 | { |
Matthew Sloyan | a7a12f5 | 2021-05-06 10:05:28 +0100 | [diff] [blame] | 142 | auto inputTensorValues = inputValues[i]; |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 143 | CHECK(tfLiteInterpreter.FillInputTensor<T>(inputTensorValues, i) == kTfLiteOk); |
| 144 | CHECK(armnnInterpreter.FillInputTensor<T>(inputTensorValues, i) == kTfLiteOk); |
Matthew Sloyan | a7a12f5 | 2021-05-06 10:05:28 +0100 | [diff] [blame] | 145 | } |
| 146 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 147 | CHECK(tfLiteInterpreter.Invoke() == kTfLiteOk); |
| 148 | std::vector<T> tfLiteOutputValues = tfLiteInterpreter.GetOutputResult<T>(0); |
| 149 | std::vector<int32_t> tfLiteOutputShape = tfLiteInterpreter.GetOutputShape(0); |
Matthew Sloyan | a7a12f5 | 2021-05-06 10:05:28 +0100 | [diff] [blame] | 150 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 151 | CHECK(armnnInterpreter.Invoke() == kTfLiteOk); |
| 152 | std::vector<T> armnnOutputValues = armnnInterpreter.GetOutputResult<T>(0); |
| 153 | std::vector<int32_t> armnnOutputShape = armnnInterpreter.GetOutputShape(0); |
Matthew Sloyan | a7a12f5 | 2021-05-06 10:05:28 +0100 | [diff] [blame] | 154 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 155 | armnnDelegate::CompareOutputData<T>(tfLiteOutputValues, armnnOutputValues, expectedOutputValues); |
| 156 | armnnDelegate::CompareOutputShape(tfLiteOutputShape, armnnOutputShape, expectedOutputShape); |
| 157 | |
| 158 | tfLiteInterpreter.Cleanup(); |
| 159 | armnnInterpreter.Cleanup(); |
Matthew Sloyan | a7a12f5 | 2021-05-06 10:05:28 +0100 | [diff] [blame] | 160 | } |
| 161 | |
| 162 | } // anonymous namespace |