Sadik Armagan | 0534e03 | 2020-10-27 17:30:18 +0000 | [diff] [blame] | 1 | // |
Colm Donelan | 7bcae3c | 2024-01-22 10:07:14 +0000 | [diff] [blame^] | 2 | // Copyright © 2020, 2023-2024 Arm Ltd and Contributors. All rights reserved. |
Sadik Armagan | 0534e03 | 2020-10-27 17:30:18 +0000 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #pragma once |
| 7 | |
Jan Eilers | 187b3a7 | 2020-11-19 17:50:34 +0000 | [diff] [blame] | 8 | #include "TestUtils.hpp" |
| 9 | |
Sadik Armagan | 0534e03 | 2020-10-27 17:30:18 +0000 | [diff] [blame] | 10 | #include <armnn_delegate.hpp> |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 11 | #include <DelegateTestInterpreter.hpp> |
Sadik Armagan | 0534e03 | 2020-10-27 17:30:18 +0000 | [diff] [blame] | 12 | |
Sadik Armagan | 0534e03 | 2020-10-27 17:30:18 +0000 | [diff] [blame] | 13 | #include <tensorflow/lite/version.h> |
| 14 | |
Sadik Armagan | 0534e03 | 2020-10-27 17:30:18 +0000 | [diff] [blame] | 15 | namespace |
| 16 | { |
| 17 | |
| 18 | std::vector<char> CreateElementwiseUnaryTfLiteModel(tflite::BuiltinOperator unaryOperatorCode, |
| 19 | tflite::TensorType tensorType, |
| 20 | const std::vector <int32_t>& tensorShape) |
| 21 | { |
| 22 | using namespace tflite; |
| 23 | flatbuffers::FlatBufferBuilder flatBufferBuilder; |
| 24 | |
| 25 | std::array<flatbuffers::Offset<tflite::Buffer>, 1> buffers; |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 26 | buffers[0] = CreateBuffer(flatBufferBuilder); |
Sadik Armagan | 0534e03 | 2020-10-27 17:30:18 +0000 | [diff] [blame] | 27 | |
| 28 | std::array<flatbuffers::Offset<Tensor>, 2> tensors; |
| 29 | tensors[0] = CreateTensor(flatBufferBuilder, |
| 30 | flatBufferBuilder.CreateVector<int32_t>(tensorShape.data(), tensorShape.size()), |
| 31 | tensorType); |
| 32 | tensors[1] = CreateTensor(flatBufferBuilder, |
| 33 | flatBufferBuilder.CreateVector<int32_t>(tensorShape.data(), tensorShape.size()), |
| 34 | tensorType); |
| 35 | |
| 36 | // create operator |
Keith Davis | 892fafe | 2020-11-26 17:40:35 +0000 | [diff] [blame] | 37 | const std::vector<int> operatorInputs{0}; |
| 38 | const std::vector<int> operatorOutputs{1}; |
Sadik Armagan | 0534e03 | 2020-10-27 17:30:18 +0000 | [diff] [blame] | 39 | flatbuffers::Offset <Operator> unaryOperator = |
| 40 | CreateOperator(flatBufferBuilder, |
| 41 | 0, |
| 42 | flatBufferBuilder.CreateVector<int32_t>(operatorInputs.data(), operatorInputs.size()), |
| 43 | flatBufferBuilder.CreateVector<int32_t>(operatorOutputs.data(), operatorOutputs.size())); |
| 44 | |
Keith Davis | 892fafe | 2020-11-26 17:40:35 +0000 | [diff] [blame] | 45 | const std::vector<int> subgraphInputs{0}; |
| 46 | const std::vector<int> subgraphOutputs{1}; |
Sadik Armagan | 0534e03 | 2020-10-27 17:30:18 +0000 | [diff] [blame] | 47 | flatbuffers::Offset <SubGraph> subgraph = |
| 48 | CreateSubGraph(flatBufferBuilder, |
| 49 | flatBufferBuilder.CreateVector(tensors.data(), tensors.size()), |
| 50 | flatBufferBuilder.CreateVector<int32_t>(subgraphInputs.data(), subgraphInputs.size()), |
| 51 | flatBufferBuilder.CreateVector<int32_t>(subgraphOutputs.data(), subgraphOutputs.size()), |
| 52 | flatBufferBuilder.CreateVector(&unaryOperator, 1)); |
| 53 | |
| 54 | flatbuffers::Offset <flatbuffers::String> modelDescription = |
| 55 | flatBufferBuilder.CreateString("ArmnnDelegate: Elementwise Unary Operator Model"); |
| 56 | flatbuffers::Offset <OperatorCode> operatorCode = CreateOperatorCode(flatBufferBuilder, unaryOperatorCode); |
| 57 | |
| 58 | flatbuffers::Offset <Model> flatbufferModel = |
| 59 | CreateModel(flatBufferBuilder, |
| 60 | TFLITE_SCHEMA_VERSION, |
| 61 | flatBufferBuilder.CreateVector(&operatorCode, 1), |
| 62 | flatBufferBuilder.CreateVector(&subgraph, 1), |
| 63 | modelDescription, |
| 64 | flatBufferBuilder.CreateVector(buffers.data(), buffers.size())); |
| 65 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 66 | flatBufferBuilder.Finish(flatbufferModel, armnnDelegate::FILE_IDENTIFIER); |
Sadik Armagan | 0534e03 | 2020-10-27 17:30:18 +0000 | [diff] [blame] | 67 | |
| 68 | return std::vector<char>(flatBufferBuilder.GetBufferPointer(), |
| 69 | flatBufferBuilder.GetBufferPointer() + flatBufferBuilder.GetSize()); |
| 70 | } |
| 71 | |
| 72 | void ElementwiseUnaryFP32Test(tflite::BuiltinOperator unaryOperatorCode, |
Sadik Armagan | 0534e03 | 2020-10-27 17:30:18 +0000 | [diff] [blame] | 73 | std::vector<float>& inputValues, |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame] | 74 | std::vector<float>& expectedOutputValues, |
| 75 | const std::vector<armnn::BackendId>& backends = {}) |
Sadik Armagan | 0534e03 | 2020-10-27 17:30:18 +0000 | [diff] [blame] | 76 | { |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 77 | using namespace delegateTestInterpreter; |
Jan Eilers | 187b3a7 | 2020-11-19 17:50:34 +0000 | [diff] [blame] | 78 | std::vector<int32_t> inputShape { { 3, 1, 2} }; |
Sadik Armagan | 0534e03 | 2020-10-27 17:30:18 +0000 | [diff] [blame] | 79 | std::vector<char> modelBuffer = CreateElementwiseUnaryTfLiteModel(unaryOperatorCode, |
| 80 | ::tflite::TensorType_FLOAT32, |
| 81 | inputShape); |
| 82 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 83 | // Setup interpreter with just TFLite Runtime. |
| 84 | auto tfLiteInterpreter = DelegateTestInterpreter(modelBuffer); |
| 85 | CHECK(tfLiteInterpreter.AllocateTensors() == kTfLiteOk); |
| 86 | CHECK(tfLiteInterpreter.FillInputTensor<float>(inputValues, 0) == kTfLiteOk); |
| 87 | CHECK(tfLiteInterpreter.Invoke() == kTfLiteOk); |
| 88 | std::vector<float> tfLiteOutputValues = tfLiteInterpreter.GetOutputResult<float>(0); |
| 89 | std::vector<int32_t> tfLiteOutputShape = tfLiteInterpreter.GetOutputShape(0); |
Sadik Armagan | 0534e03 | 2020-10-27 17:30:18 +0000 | [diff] [blame] | 90 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 91 | // Setup interpreter with Arm NN Delegate applied. |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame] | 92 | auto armnnInterpreter = DelegateTestInterpreter(modelBuffer, CaptureAvailableBackends(backends)); |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 93 | CHECK(armnnInterpreter.AllocateTensors() == kTfLiteOk); |
| 94 | CHECK(armnnInterpreter.FillInputTensor<float>(inputValues, 0) == kTfLiteOk); |
| 95 | CHECK(armnnInterpreter.Invoke() == kTfLiteOk); |
| 96 | std::vector<float> armnnOutputValues = armnnInterpreter.GetOutputResult<float>(0); |
| 97 | std::vector<int32_t> armnnOutputShape = armnnInterpreter.GetOutputShape(0); |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 98 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 99 | armnnDelegate::CompareOutputData<float>(tfLiteOutputValues, armnnOutputValues, expectedOutputValues); |
| 100 | armnnDelegate::CompareOutputShape(tfLiteOutputShape, armnnOutputShape, inputShape); |
Sadik Armagan | 0534e03 | 2020-10-27 17:30:18 +0000 | [diff] [blame] | 101 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 102 | tfLiteInterpreter.Cleanup(); |
| 103 | armnnInterpreter.Cleanup(); |
Matthew Sloyan | c8eb955 | 2020-11-26 10:54:22 +0000 | [diff] [blame] | 104 | } |
| 105 | |
| 106 | void ElementwiseUnaryBoolTest(tflite::BuiltinOperator unaryOperatorCode, |
Matthew Sloyan | c8eb955 | 2020-11-26 10:54:22 +0000 | [diff] [blame] | 107 | std::vector<int32_t>& inputShape, |
| 108 | std::vector<bool>& inputValues, |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame] | 109 | std::vector<bool>& expectedOutputValues, |
| 110 | const std::vector<armnn::BackendId>& backends = {}) |
Matthew Sloyan | c8eb955 | 2020-11-26 10:54:22 +0000 | [diff] [blame] | 111 | { |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 112 | using namespace delegateTestInterpreter; |
Matthew Sloyan | c8eb955 | 2020-11-26 10:54:22 +0000 | [diff] [blame] | 113 | std::vector<char> modelBuffer = CreateElementwiseUnaryTfLiteModel(unaryOperatorCode, |
| 114 | ::tflite::TensorType_BOOL, |
| 115 | inputShape); |
| 116 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 117 | // Setup interpreter with just TFLite Runtime. |
| 118 | auto tfLiteInterpreter = DelegateTestInterpreter(modelBuffer); |
| 119 | CHECK(tfLiteInterpreter.AllocateTensors() == kTfLiteOk); |
| 120 | CHECK(tfLiteInterpreter.FillInputTensor(inputValues, 0) == kTfLiteOk); |
| 121 | CHECK(tfLiteInterpreter.Invoke() == kTfLiteOk); |
| 122 | std::vector<bool> tfLiteOutputValues = tfLiteInterpreter.GetOutputResult(0); |
| 123 | std::vector<int32_t> tfLiteOutputShape = tfLiteInterpreter.GetOutputShape(0); |
Matthew Sloyan | c8eb955 | 2020-11-26 10:54:22 +0000 | [diff] [blame] | 124 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 125 | // Setup interpreter with Arm NN Delegate applied. |
Colm Donelan | eff204a | 2023-11-28 15:46:09 +0000 | [diff] [blame] | 126 | auto armnnInterpreter = DelegateTestInterpreter(modelBuffer, CaptureAvailableBackends(backends)); |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 127 | CHECK(armnnInterpreter.AllocateTensors() == kTfLiteOk); |
| 128 | CHECK(armnnInterpreter.FillInputTensor(inputValues, 0) == kTfLiteOk); |
| 129 | CHECK(armnnInterpreter.Invoke() == kTfLiteOk); |
| 130 | std::vector<bool> armnnOutputValues = armnnInterpreter.GetOutputResult(0); |
| 131 | std::vector<int32_t> armnnOutputShape = armnnInterpreter.GetOutputShape(0); |
Matthew Sloyan | c8eb955 | 2020-11-26 10:54:22 +0000 | [diff] [blame] | 132 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 133 | armnnDelegate::CompareData(expectedOutputValues, armnnOutputValues, expectedOutputValues.size()); |
| 134 | armnnDelegate::CompareData(expectedOutputValues, tfLiteOutputValues, expectedOutputValues.size()); |
| 135 | armnnDelegate::CompareData(tfLiteOutputValues, armnnOutputValues, expectedOutputValues.size()); |
Matthew Sloyan | c8eb955 | 2020-11-26 10:54:22 +0000 | [diff] [blame] | 136 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 137 | armnnDelegate::CompareOutputShape(tfLiteOutputShape, armnnOutputShape, inputShape); |
Matthew Sloyan | c8eb955 | 2020-11-26 10:54:22 +0000 | [diff] [blame] | 138 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 139 | tfLiteInterpreter.Cleanup(); |
| 140 | armnnInterpreter.Cleanup(); |
Sadik Armagan | 0534e03 | 2020-10-27 17:30:18 +0000 | [diff] [blame] | 141 | } |
| 142 | |
| 143 | } // anonymous namespace |
| 144 | |
| 145 | |
| 146 | |
| 147 | |