Sadik Armagan | 29b49cf | 2021-02-22 18:09:07 +0000 | [diff] [blame] | 1 | // |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 2 | // Copyright © 2021, 2023 Arm Ltd and Contributors. All rights reserved. |
Sadik Armagan | 29b49cf | 2021-02-22 18:09:07 +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 | 29b49cf | 2021-02-22 18:09:07 +0000 | [diff] [blame] | 12 | |
| 13 | #include <flatbuffers/flatbuffers.h> |
Sadik Armagan | 29b49cf | 2021-02-22 18:09:07 +0000 | [diff] [blame] | 14 | #include <tensorflow/lite/kernels/register.h> |
Sadik Armagan | 29b49cf | 2021-02-22 18:09:07 +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 | |
Sadik Armagan | 29b49cf | 2021-02-22 18:09:07 +0000 | [diff] [blame] | 19 | #include <doctest/doctest.h> |
| 20 | |
| 21 | namespace |
| 22 | { |
| 23 | |
| 24 | template <typename T> |
| 25 | std::vector<char> CreateFillTfLiteModel(tflite::BuiltinOperator fillOperatorCode, |
| 26 | tflite::TensorType tensorType, |
| 27 | const std::vector<int32_t>& inputShape, |
| 28 | const std::vector <int32_t>& tensorShape, |
| 29 | const std::vector<T> fillValue) |
| 30 | { |
| 31 | using namespace tflite; |
| 32 | flatbuffers::FlatBufferBuilder flatBufferBuilder; |
| 33 | |
| 34 | std::vector<flatbuffers::Offset<tflite::Buffer>> buffers; |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 35 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
Sadik Armagan | 29b49cf | 2021-02-22 18:09:07 +0000 | [diff] [blame] | 36 | buffers.push_back( |
| 37 | CreateBuffer(flatBufferBuilder, |
| 38 | flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>(tensorShape.data()), |
| 39 | sizeof(int32_t) * tensorShape.size()))); |
| 40 | buffers.push_back( |
| 41 | CreateBuffer(flatBufferBuilder, |
| 42 | flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>(fillValue.data()), |
| 43 | sizeof(T) * fillValue.size()))); |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 44 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
Sadik Armagan | 29b49cf | 2021-02-22 18:09:07 +0000 | [diff] [blame] | 45 | |
| 46 | std::array<flatbuffers::Offset<Tensor>, 3> tensors; |
| 47 | tensors[0] = CreateTensor(flatBufferBuilder, |
| 48 | flatBufferBuilder.CreateVector<int32_t>(inputShape.data(), |
| 49 | inputShape.size()), |
| 50 | tflite::TensorType_INT32, |
| 51 | 1, |
| 52 | flatBufferBuilder.CreateString("dims")); |
| 53 | |
| 54 | std::vector<int32_t> fillShape = {}; |
| 55 | tensors[1] = CreateTensor(flatBufferBuilder, |
| 56 | flatBufferBuilder.CreateVector<int32_t>(fillShape.data(), |
| 57 | fillShape.size()), |
| 58 | tensorType, |
| 59 | 2, |
| 60 | flatBufferBuilder.CreateString("value")); |
| 61 | |
| 62 | tensors[2] = CreateTensor(flatBufferBuilder, |
| 63 | flatBufferBuilder.CreateVector<int32_t>(tensorShape.data(), |
| 64 | tensorShape.size()), |
| 65 | tensorType, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 66 | 3, |
Sadik Armagan | 29b49cf | 2021-02-22 18:09:07 +0000 | [diff] [blame] | 67 | flatBufferBuilder.CreateString("output")); |
| 68 | |
| 69 | tflite::BuiltinOptions operatorBuiltinOptionsType = BuiltinOptions_FillOptions; |
| 70 | flatbuffers::Offset<void> operatorBuiltinOptions = CreateFillOptions(flatBufferBuilder).Union(); |
| 71 | |
| 72 | // create operator |
| 73 | const std::vector<int> operatorInputs{ {0, 1} }; |
| 74 | const std::vector<int> operatorOutputs{ 2 }; |
| 75 | flatbuffers::Offset <Operator> fillOperator = |
| 76 | CreateOperator(flatBufferBuilder, |
| 77 | 0, |
| 78 | flatBufferBuilder.CreateVector<int32_t>(operatorInputs.data(), operatorInputs.size()), |
| 79 | flatBufferBuilder.CreateVector<int32_t>(operatorOutputs.data(), operatorOutputs.size()), |
| 80 | operatorBuiltinOptionsType, |
| 81 | operatorBuiltinOptions); |
| 82 | |
| 83 | const std::vector<int> subgraphInputs{ {0, 1} }; |
| 84 | const std::vector<int> subgraphOutputs{ 2 }; |
| 85 | flatbuffers::Offset <SubGraph> subgraph = |
| 86 | CreateSubGraph(flatBufferBuilder, |
| 87 | flatBufferBuilder.CreateVector(tensors.data(), tensors.size()), |
| 88 | flatBufferBuilder.CreateVector<int32_t>(subgraphInputs.data(), subgraphInputs.size()), |
| 89 | flatBufferBuilder.CreateVector<int32_t>(subgraphOutputs.data(), subgraphOutputs.size()), |
| 90 | flatBufferBuilder.CreateVector(&fillOperator, 1)); |
| 91 | |
| 92 | flatbuffers::Offset <flatbuffers::String> modelDescription = |
| 93 | flatBufferBuilder.CreateString("ArmnnDelegate: Fill Operator Model"); |
| 94 | flatbuffers::Offset <OperatorCode> operatorCode = CreateOperatorCode(flatBufferBuilder, |
| 95 | fillOperatorCode); |
| 96 | |
| 97 | flatbuffers::Offset <Model> flatbufferModel = |
| 98 | CreateModel(flatBufferBuilder, |
| 99 | TFLITE_SCHEMA_VERSION, |
| 100 | flatBufferBuilder.CreateVector(&operatorCode, 1), |
| 101 | flatBufferBuilder.CreateVector(&subgraph, 1), |
| 102 | modelDescription, |
| 103 | flatBufferBuilder.CreateVector(buffers.data(), buffers.size())); |
| 104 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 105 | flatBufferBuilder.Finish(flatbufferModel, armnnDelegate::FILE_IDENTIFIER); |
Sadik Armagan | 29b49cf | 2021-02-22 18:09:07 +0000 | [diff] [blame] | 106 | |
| 107 | return std::vector<char>(flatBufferBuilder.GetBufferPointer(), |
| 108 | flatBufferBuilder.GetBufferPointer() + flatBufferBuilder.GetSize()); |
| 109 | |
| 110 | } |
| 111 | |
| 112 | template <typename T> |
| 113 | void FillTest(tflite::BuiltinOperator fillOperatorCode, |
| 114 | tflite::TensorType tensorType, |
| 115 | const std::vector<armnn::BackendId>& backends, |
| 116 | std::vector<int32_t >& inputShape, |
| 117 | std::vector<int32_t >& tensorShape, |
| 118 | std::vector<T>& expectedOutputValues, |
| 119 | T fillValue) |
| 120 | { |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 121 | using namespace delegateTestInterpreter; |
Sadik Armagan | 29b49cf | 2021-02-22 18:09:07 +0000 | [diff] [blame] | 122 | std::vector<char> modelBuffer = CreateFillTfLiteModel<T>(fillOperatorCode, |
| 123 | tensorType, |
| 124 | inputShape, |
| 125 | tensorShape, |
| 126 | {fillValue}); |
| 127 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 128 | // Setup interpreter with just TFLite Runtime. |
| 129 | auto tfLiteInterpreter = DelegateTestInterpreter(modelBuffer); |
| 130 | CHECK(tfLiteInterpreter.AllocateTensors() == kTfLiteOk); |
| 131 | CHECK(tfLiteInterpreter.Invoke() == kTfLiteOk); |
| 132 | std::vector<T> tfLiteOutputValues = tfLiteInterpreter.GetOutputResult<T>(0); |
| 133 | std::vector<int32_t> tfLiteOutputShape = tfLiteInterpreter.GetOutputShape(0); |
Sadik Armagan | 29b49cf | 2021-02-22 18:09:07 +0000 | [diff] [blame] | 134 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 135 | // Setup interpreter with Arm NN Delegate applied. |
| 136 | auto armnnInterpreter = DelegateTestInterpreter(modelBuffer, backends); |
| 137 | CHECK(armnnInterpreter.AllocateTensors() == kTfLiteOk); |
| 138 | CHECK(armnnInterpreter.Invoke() == kTfLiteOk); |
| 139 | std::vector<T> armnnOutputValues = armnnInterpreter.GetOutputResult<T>(0); |
| 140 | std::vector<int32_t> armnnOutputShape = armnnInterpreter.GetOutputShape(0); |
Sadik Armagan | 29b49cf | 2021-02-22 18:09:07 +0000 | [diff] [blame] | 141 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 142 | armnnDelegate::CompareOutputData<T>(tfLiteOutputValues, armnnOutputValues, expectedOutputValues); |
| 143 | armnnDelegate::CompareOutputShape(tfLiteOutputShape, armnnOutputShape, tensorShape); |
Sadik Armagan | 29b49cf | 2021-02-22 18:09:07 +0000 | [diff] [blame] | 144 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 145 | tfLiteInterpreter.Cleanup(); |
| 146 | armnnInterpreter.Cleanup(); |
Sadik Armagan | 29b49cf | 2021-02-22 18:09:07 +0000 | [diff] [blame] | 147 | } |
| 148 | |
| 149 | } // anonymous namespace |