Matthew Sloyan | c8eb955 | 2020-11-26 10:54:22 +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. |
Matthew Sloyan | c8eb955 | 2020-11-26 10:54:22 +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> |
Matthew Sloyan | c8eb955 | 2020-11-26 10:54:22 +0000 | [diff] [blame] | 12 | |
| 13 | #include <flatbuffers/flatbuffers.h> |
Matthew Sloyan | c8eb955 | 2020-11-26 10:54:22 +0000 | [diff] [blame] | 14 | #include <tensorflow/lite/kernels/register.h> |
Matthew Sloyan | c8eb955 | 2020-11-26 10:54:22 +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 | |
Matthew Sloyan | c8eb955 | 2020-11-26 10:54:22 +0000 | [diff] [blame] | 19 | #include <doctest/doctest.h> |
| 20 | |
| 21 | namespace |
| 22 | { |
| 23 | |
| 24 | std::vector<char> CreateLogicalBinaryTfLiteModel(tflite::BuiltinOperator logicalOperatorCode, |
| 25 | tflite::TensorType tensorType, |
| 26 | const std::vector <int32_t>& input0TensorShape, |
| 27 | const std::vector <int32_t>& input1TensorShape, |
| 28 | const std::vector <int32_t>& outputTensorShape, |
| 29 | float quantScale = 1.0f, |
| 30 | int quantOffset = 0) |
| 31 | { |
| 32 | using namespace tflite; |
| 33 | flatbuffers::FlatBufferBuilder flatBufferBuilder; |
| 34 | |
| 35 | std::vector<flatbuffers::Offset<tflite::Buffer>> buffers; |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 36 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
| 37 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
| 38 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
| 39 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
Matthew Sloyan | c8eb955 | 2020-11-26 10:54:22 +0000 | [diff] [blame] | 40 | |
| 41 | auto quantizationParameters = |
| 42 | CreateQuantizationParameters(flatBufferBuilder, |
| 43 | 0, |
| 44 | 0, |
| 45 | flatBufferBuilder.CreateVector<float>({ quantScale }), |
| 46 | flatBufferBuilder.CreateVector<int64_t>({ quantOffset })); |
| 47 | |
| 48 | |
| 49 | std::array<flatbuffers::Offset<Tensor>, 3> tensors; |
| 50 | tensors[0] = CreateTensor(flatBufferBuilder, |
| 51 | flatBufferBuilder.CreateVector<int32_t>(input0TensorShape.data(), |
| 52 | input0TensorShape.size()), |
| 53 | tensorType, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 54 | 1, |
Matthew Sloyan | c8eb955 | 2020-11-26 10:54:22 +0000 | [diff] [blame] | 55 | flatBufferBuilder.CreateString("input_0"), |
| 56 | quantizationParameters); |
| 57 | tensors[1] = CreateTensor(flatBufferBuilder, |
| 58 | flatBufferBuilder.CreateVector<int32_t>(input1TensorShape.data(), |
| 59 | input1TensorShape.size()), |
| 60 | tensorType, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 61 | 2, |
Matthew Sloyan | c8eb955 | 2020-11-26 10:54:22 +0000 | [diff] [blame] | 62 | flatBufferBuilder.CreateString("input_1"), |
| 63 | quantizationParameters); |
| 64 | tensors[2] = CreateTensor(flatBufferBuilder, |
| 65 | flatBufferBuilder.CreateVector<int32_t>(outputTensorShape.data(), |
| 66 | outputTensorShape.size()), |
| 67 | tensorType, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 68 | 3, |
Matthew Sloyan | c8eb955 | 2020-11-26 10:54:22 +0000 | [diff] [blame] | 69 | flatBufferBuilder.CreateString("output"), |
| 70 | quantizationParameters); |
| 71 | |
| 72 | // create operator |
| 73 | tflite::BuiltinOptions operatorBuiltinOptionsType = tflite::BuiltinOptions_NONE; |
| 74 | flatbuffers::Offset<void> operatorBuiltinOptions = 0; |
| 75 | switch (logicalOperatorCode) |
| 76 | { |
| 77 | case BuiltinOperator_LOGICAL_AND: |
| 78 | { |
| 79 | operatorBuiltinOptionsType = BuiltinOptions_LogicalAndOptions; |
| 80 | operatorBuiltinOptions = CreateLogicalAndOptions(flatBufferBuilder).Union(); |
| 81 | break; |
| 82 | } |
| 83 | case BuiltinOperator_LOGICAL_OR: |
| 84 | { |
| 85 | operatorBuiltinOptionsType = BuiltinOptions_LogicalOrOptions; |
| 86 | operatorBuiltinOptions = CreateLogicalOrOptions(flatBufferBuilder).Union(); |
| 87 | break; |
| 88 | } |
| 89 | default: |
| 90 | break; |
| 91 | } |
| 92 | const std::vector<int32_t> operatorInputs{ {0, 1} }; |
| 93 | const std::vector<int32_t> operatorOutputs{ 2 }; |
| 94 | flatbuffers::Offset <Operator> logicalBinaryOperator = |
| 95 | CreateOperator(flatBufferBuilder, |
| 96 | 0, |
| 97 | flatBufferBuilder.CreateVector<int32_t>(operatorInputs.data(), operatorInputs.size()), |
| 98 | flatBufferBuilder.CreateVector<int32_t>(operatorOutputs.data(), operatorOutputs.size()), |
| 99 | operatorBuiltinOptionsType, |
| 100 | operatorBuiltinOptions); |
| 101 | |
| 102 | const std::vector<int> subgraphInputs{ {0, 1} }; |
| 103 | const std::vector<int> subgraphOutputs{ 2 }; |
| 104 | flatbuffers::Offset <SubGraph> subgraph = |
| 105 | CreateSubGraph(flatBufferBuilder, |
| 106 | flatBufferBuilder.CreateVector(tensors.data(), tensors.size()), |
| 107 | flatBufferBuilder.CreateVector<int32_t>(subgraphInputs.data(), subgraphInputs.size()), |
| 108 | flatBufferBuilder.CreateVector<int32_t>(subgraphOutputs.data(), subgraphOutputs.size()), |
| 109 | flatBufferBuilder.CreateVector(&logicalBinaryOperator, 1)); |
| 110 | |
| 111 | flatbuffers::Offset <flatbuffers::String> modelDescription = |
| 112 | flatBufferBuilder.CreateString("ArmnnDelegate: Logical Binary Operator Model"); |
| 113 | flatbuffers::Offset <OperatorCode> operatorCode = CreateOperatorCode(flatBufferBuilder, logicalOperatorCode); |
| 114 | |
| 115 | flatbuffers::Offset <Model> flatbufferModel = |
| 116 | CreateModel(flatBufferBuilder, |
| 117 | TFLITE_SCHEMA_VERSION, |
| 118 | flatBufferBuilder.CreateVector(&operatorCode, 1), |
| 119 | flatBufferBuilder.CreateVector(&subgraph, 1), |
| 120 | modelDescription, |
| 121 | flatBufferBuilder.CreateVector(buffers.data(), buffers.size())); |
| 122 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 123 | flatBufferBuilder.Finish(flatbufferModel, armnnDelegate::FILE_IDENTIFIER); |
Matthew Sloyan | c8eb955 | 2020-11-26 10:54:22 +0000 | [diff] [blame] | 124 | |
| 125 | return std::vector<char>(flatBufferBuilder.GetBufferPointer(), |
| 126 | flatBufferBuilder.GetBufferPointer() + flatBufferBuilder.GetSize()); |
| 127 | } |
| 128 | |
Matthew Sloyan | c8eb955 | 2020-11-26 10:54:22 +0000 | [diff] [blame] | 129 | void LogicalBinaryTest(tflite::BuiltinOperator logicalOperatorCode, |
| 130 | tflite::TensorType tensorType, |
| 131 | std::vector<armnn::BackendId>& backends, |
| 132 | std::vector<int32_t>& input0Shape, |
| 133 | std::vector<int32_t>& input1Shape, |
| 134 | std::vector<int32_t>& expectedOutputShape, |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 135 | std::vector<bool>& input0Values, |
| 136 | std::vector<bool>& input1Values, |
| 137 | std::vector<bool>& expectedOutputValues, |
Matthew Sloyan | c8eb955 | 2020-11-26 10:54:22 +0000 | [diff] [blame] | 138 | float quantScale = 1.0f, |
| 139 | int quantOffset = 0) |
| 140 | { |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 141 | using namespace delegateTestInterpreter; |
Matthew Sloyan | c8eb955 | 2020-11-26 10:54:22 +0000 | [diff] [blame] | 142 | std::vector<char> modelBuffer = CreateLogicalBinaryTfLiteModel(logicalOperatorCode, |
| 143 | tensorType, |
| 144 | input0Shape, |
| 145 | input1Shape, |
| 146 | expectedOutputShape, |
| 147 | quantScale, |
| 148 | quantOffset); |
| 149 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 150 | // Setup interpreter with just TFLite Runtime. |
| 151 | auto tfLiteInterpreter = DelegateTestInterpreter(modelBuffer); |
| 152 | CHECK(tfLiteInterpreter.AllocateTensors() == kTfLiteOk); |
| 153 | CHECK(tfLiteInterpreter.FillInputTensor(input0Values, 0) == kTfLiteOk); |
| 154 | CHECK(tfLiteInterpreter.FillInputTensor(input1Values, 1) == kTfLiteOk); |
| 155 | CHECK(tfLiteInterpreter.Invoke() == kTfLiteOk); |
| 156 | std::vector<bool> tfLiteOutputValues = tfLiteInterpreter.GetOutputResult(0); |
| 157 | std::vector<int32_t> tfLiteOutputShape = tfLiteInterpreter.GetOutputShape(0); |
Matthew Sloyan | c8eb955 | 2020-11-26 10:54:22 +0000 | [diff] [blame] | 158 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 159 | // Setup interpreter with Arm NN Delegate applied. |
| 160 | auto armnnInterpreter = DelegateTestInterpreter(modelBuffer, backends); |
| 161 | CHECK(armnnInterpreter.AllocateTensors() == kTfLiteOk); |
| 162 | CHECK(armnnInterpreter.FillInputTensor(input0Values, 0) == kTfLiteOk); |
| 163 | CHECK(armnnInterpreter.FillInputTensor(input1Values, 1) == kTfLiteOk); |
| 164 | CHECK(armnnInterpreter.Invoke() == kTfLiteOk); |
| 165 | std::vector<bool> armnnOutputValues = armnnInterpreter.GetOutputResult(0); |
| 166 | std::vector<int32_t> armnnOutputShape = armnnInterpreter.GetOutputShape(0); |
Matthew Sloyan | c8eb955 | 2020-11-26 10:54:22 +0000 | [diff] [blame] | 167 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 168 | armnnDelegate::CompareOutputShape(tfLiteOutputShape, armnnOutputShape, expectedOutputShape); |
Matthew Sloyan | c8eb955 | 2020-11-26 10:54:22 +0000 | [diff] [blame] | 169 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 170 | armnnDelegate::CompareData(expectedOutputValues, armnnOutputValues, expectedOutputValues.size()); |
| 171 | armnnDelegate::CompareData(expectedOutputValues, tfLiteOutputValues, expectedOutputValues.size()); |
| 172 | armnnDelegate::CompareData(tfLiteOutputValues, armnnOutputValues, expectedOutputValues.size()); |
Matthew Sloyan | c8eb955 | 2020-11-26 10:54:22 +0000 | [diff] [blame] | 173 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 174 | tfLiteInterpreter.Cleanup(); |
| 175 | armnnInterpreter.Cleanup(); |
Matthew Sloyan | c8eb955 | 2020-11-26 10:54:22 +0000 | [diff] [blame] | 176 | } |
| 177 | |
| 178 | } // anonymous namespace |