Sadik Armagan | 0534e03 | 2020-10-27 17:30:18 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2020 Arm Ltd and Contributors. All rights reserved. |
| 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> |
| 11 | |
| 12 | #include <flatbuffers/flatbuffers.h> |
| 13 | #include <tensorflow/lite/interpreter.h> |
| 14 | #include <tensorflow/lite/kernels/register.h> |
| 15 | #include <tensorflow/lite/model.h> |
| 16 | #include <tensorflow/lite/schema/schema_generated.h> |
| 17 | #include <tensorflow/lite/version.h> |
| 18 | |
| 19 | #include <doctest/doctest.h> |
| 20 | |
| 21 | namespace |
| 22 | { |
| 23 | |
| 24 | std::vector<char> CreateElementwiseUnaryTfLiteModel(tflite::BuiltinOperator unaryOperatorCode, |
| 25 | tflite::TensorType tensorType, |
| 26 | const std::vector <int32_t>& tensorShape) |
| 27 | { |
| 28 | using namespace tflite; |
| 29 | flatbuffers::FlatBufferBuilder flatBufferBuilder; |
| 30 | |
| 31 | std::array<flatbuffers::Offset<tflite::Buffer>, 1> buffers; |
| 32 | buffers[0] = CreateBuffer(flatBufferBuilder, flatBufferBuilder.CreateVector({})); |
| 33 | |
| 34 | std::array<flatbuffers::Offset<Tensor>, 2> tensors; |
| 35 | tensors[0] = CreateTensor(flatBufferBuilder, |
| 36 | flatBufferBuilder.CreateVector<int32_t>(tensorShape.data(), tensorShape.size()), |
| 37 | tensorType); |
| 38 | tensors[1] = CreateTensor(flatBufferBuilder, |
| 39 | flatBufferBuilder.CreateVector<int32_t>(tensorShape.data(), tensorShape.size()), |
| 40 | tensorType); |
| 41 | |
| 42 | // create operator |
Keith Davis | 892fafe | 2020-11-26 17:40:35 +0000 | [diff] [blame] | 43 | const std::vector<int> operatorInputs{0}; |
| 44 | const std::vector<int> operatorOutputs{1}; |
Sadik Armagan | 0534e03 | 2020-10-27 17:30:18 +0000 | [diff] [blame] | 45 | flatbuffers::Offset <Operator> unaryOperator = |
| 46 | CreateOperator(flatBufferBuilder, |
| 47 | 0, |
| 48 | flatBufferBuilder.CreateVector<int32_t>(operatorInputs.data(), operatorInputs.size()), |
| 49 | flatBufferBuilder.CreateVector<int32_t>(operatorOutputs.data(), operatorOutputs.size())); |
| 50 | |
Keith Davis | 892fafe | 2020-11-26 17:40:35 +0000 | [diff] [blame] | 51 | const std::vector<int> subgraphInputs{0}; |
| 52 | const std::vector<int> subgraphOutputs{1}; |
Sadik Armagan | 0534e03 | 2020-10-27 17:30:18 +0000 | [diff] [blame] | 53 | flatbuffers::Offset <SubGraph> subgraph = |
| 54 | CreateSubGraph(flatBufferBuilder, |
| 55 | flatBufferBuilder.CreateVector(tensors.data(), tensors.size()), |
| 56 | flatBufferBuilder.CreateVector<int32_t>(subgraphInputs.data(), subgraphInputs.size()), |
| 57 | flatBufferBuilder.CreateVector<int32_t>(subgraphOutputs.data(), subgraphOutputs.size()), |
| 58 | flatBufferBuilder.CreateVector(&unaryOperator, 1)); |
| 59 | |
| 60 | flatbuffers::Offset <flatbuffers::String> modelDescription = |
| 61 | flatBufferBuilder.CreateString("ArmnnDelegate: Elementwise Unary Operator Model"); |
| 62 | flatbuffers::Offset <OperatorCode> operatorCode = CreateOperatorCode(flatBufferBuilder, unaryOperatorCode); |
| 63 | |
| 64 | flatbuffers::Offset <Model> flatbufferModel = |
| 65 | CreateModel(flatBufferBuilder, |
| 66 | TFLITE_SCHEMA_VERSION, |
| 67 | flatBufferBuilder.CreateVector(&operatorCode, 1), |
| 68 | flatBufferBuilder.CreateVector(&subgraph, 1), |
| 69 | modelDescription, |
| 70 | flatBufferBuilder.CreateVector(buffers.data(), buffers.size())); |
| 71 | |
| 72 | flatBufferBuilder.Finish(flatbufferModel); |
| 73 | |
| 74 | return std::vector<char>(flatBufferBuilder.GetBufferPointer(), |
| 75 | flatBufferBuilder.GetBufferPointer() + flatBufferBuilder.GetSize()); |
| 76 | } |
| 77 | |
| 78 | void ElementwiseUnaryFP32Test(tflite::BuiltinOperator unaryOperatorCode, |
| 79 | std::vector<armnn::BackendId>& backends, |
| 80 | std::vector<float>& inputValues, |
| 81 | std::vector<float>& expectedOutputValues) |
| 82 | { |
| 83 | using namespace tflite; |
Jan Eilers | 187b3a7 | 2020-11-19 17:50:34 +0000 | [diff] [blame] | 84 | std::vector<int32_t> inputShape { { 3, 1, 2} }; |
Sadik Armagan | 0534e03 | 2020-10-27 17:30:18 +0000 | [diff] [blame] | 85 | std::vector<char> modelBuffer = CreateElementwiseUnaryTfLiteModel(unaryOperatorCode, |
| 86 | ::tflite::TensorType_FLOAT32, |
| 87 | inputShape); |
| 88 | |
| 89 | const Model* tfLiteModel = GetModel(modelBuffer.data()); |
| 90 | // Create TfLite Interpreters |
| 91 | std::unique_ptr<Interpreter> armnnDelegateInterpreter; |
| 92 | CHECK(InterpreterBuilder(tfLiteModel, ::tflite::ops::builtin::BuiltinOpResolver()) |
| 93 | (&armnnDelegateInterpreter) == kTfLiteOk); |
| 94 | CHECK(armnnDelegateInterpreter != nullptr); |
| 95 | CHECK(armnnDelegateInterpreter->AllocateTensors() == kTfLiteOk); |
| 96 | |
| 97 | std::unique_ptr<Interpreter> tfLiteInterpreter; |
| 98 | CHECK(InterpreterBuilder(tfLiteModel, ::tflite::ops::builtin::BuiltinOpResolver()) |
| 99 | (&tfLiteInterpreter) == kTfLiteOk); |
| 100 | CHECK(tfLiteInterpreter != nullptr); |
| 101 | CHECK(tfLiteInterpreter->AllocateTensors() == kTfLiteOk); |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 102 | |
Sadik Armagan | 0534e03 | 2020-10-27 17:30:18 +0000 | [diff] [blame] | 103 | // Create the ArmNN Delegate |
| 104 | armnnDelegate::DelegateOptions delegateOptions(backends); |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 105 | std::unique_ptr<TfLiteDelegate, decltype(&armnnDelegate::TfLiteArmnnDelegateDelete)> |
| 106 | theArmnnDelegate(armnnDelegate::TfLiteArmnnDelegateCreate(delegateOptions), |
| 107 | armnnDelegate::TfLiteArmnnDelegateDelete); |
| 108 | CHECK(theArmnnDelegate != nullptr); |
Sadik Armagan | 0534e03 | 2020-10-27 17:30:18 +0000 | [diff] [blame] | 109 | // Modify armnnDelegateInterpreter to use armnnDelegate |
Sadik Armagan | 67e95f2 | 2020-10-29 16:14:54 +0000 | [diff] [blame] | 110 | CHECK(armnnDelegateInterpreter->ModifyGraphWithDelegate(theArmnnDelegate.get()) == kTfLiteOk); |
Sadik Armagan | 0534e03 | 2020-10-27 17:30:18 +0000 | [diff] [blame] | 111 | |
| 112 | // Set input data |
Matthew Sloyan | c8eb955 | 2020-11-26 10:54:22 +0000 | [diff] [blame] | 113 | armnnDelegate::FillInput(armnnDelegateInterpreter, 0, inputValues); |
| 114 | armnnDelegate::FillInput(tfLiteInterpreter, 0, inputValues); |
Sadik Armagan | 0534e03 | 2020-10-27 17:30:18 +0000 | [diff] [blame] | 115 | |
Sadik Armagan | 0534e03 | 2020-10-27 17:30:18 +0000 | [diff] [blame] | 116 | // Run EnqueWorkload |
| 117 | CHECK(tfLiteInterpreter->Invoke() == kTfLiteOk); |
| 118 | CHECK(armnnDelegateInterpreter->Invoke() == kTfLiteOk); |
| 119 | |
| 120 | // Compare output data |
Jan Eilers | 187b3a7 | 2020-11-19 17:50:34 +0000 | [diff] [blame] | 121 | armnnDelegate::CompareOutputData(tfLiteInterpreter, armnnDelegateInterpreter, inputShape, expectedOutputValues); |
Matthew Sloyan | c8eb955 | 2020-11-26 10:54:22 +0000 | [diff] [blame] | 122 | |
| 123 | armnnDelegateInterpreter.reset(nullptr); |
| 124 | tfLiteInterpreter.reset(nullptr); |
| 125 | } |
| 126 | |
| 127 | void ElementwiseUnaryBoolTest(tflite::BuiltinOperator unaryOperatorCode, |
| 128 | std::vector<armnn::BackendId>& backends, |
| 129 | std::vector<int32_t>& inputShape, |
| 130 | std::vector<bool>& inputValues, |
| 131 | std::vector<bool>& expectedOutputValues) |
| 132 | { |
| 133 | using namespace tflite; |
| 134 | std::vector<char> modelBuffer = CreateElementwiseUnaryTfLiteModel(unaryOperatorCode, |
| 135 | ::tflite::TensorType_BOOL, |
| 136 | inputShape); |
| 137 | |
| 138 | const Model* tfLiteModel = GetModel(modelBuffer.data()); |
| 139 | // Create TfLite Interpreters |
| 140 | std::unique_ptr<Interpreter> armnnDelegateInterpreter; |
| 141 | CHECK(InterpreterBuilder(tfLiteModel, ::tflite::ops::builtin::BuiltinOpResolver()) |
| 142 | (&armnnDelegateInterpreter) == kTfLiteOk); |
| 143 | CHECK(armnnDelegateInterpreter != nullptr); |
| 144 | CHECK(armnnDelegateInterpreter->AllocateTensors() == kTfLiteOk); |
| 145 | |
| 146 | std::unique_ptr<Interpreter> tfLiteInterpreter; |
| 147 | CHECK(InterpreterBuilder(tfLiteModel, ::tflite::ops::builtin::BuiltinOpResolver()) |
| 148 | (&tfLiteInterpreter) == kTfLiteOk); |
| 149 | CHECK(tfLiteInterpreter != nullptr); |
| 150 | CHECK(tfLiteInterpreter->AllocateTensors() == kTfLiteOk); |
| 151 | |
| 152 | // Create the ArmNN Delegate |
| 153 | armnnDelegate::DelegateOptions delegateOptions(backends); |
| 154 | std::unique_ptr<TfLiteDelegate, decltype(&armnnDelegate::TfLiteArmnnDelegateDelete)> |
| 155 | theArmnnDelegate(armnnDelegate::TfLiteArmnnDelegateCreate(delegateOptions), |
| 156 | armnnDelegate::TfLiteArmnnDelegateDelete); |
| 157 | CHECK(theArmnnDelegate != nullptr); |
| 158 | |
| 159 | // Modify armnnDelegateInterpreter to use armnnDelegate |
| 160 | CHECK(armnnDelegateInterpreter->ModifyGraphWithDelegate(theArmnnDelegate.get()) == kTfLiteOk); |
| 161 | |
| 162 | // Set input data |
| 163 | armnnDelegate::FillInput(armnnDelegateInterpreter, 0, inputValues); |
| 164 | armnnDelegate::FillInput(tfLiteInterpreter, 0, inputValues); |
| 165 | |
| 166 | // Run EnqueWorkload |
| 167 | CHECK(tfLiteInterpreter->Invoke() == kTfLiteOk); |
| 168 | CHECK(armnnDelegateInterpreter->Invoke() == kTfLiteOk); |
| 169 | |
| 170 | // Compare output data, comparing Boolean values is handled differently and needs to call the CompareData function |
| 171 | // directly instead. This is because Boolean types get converted to a bit representation in a vector. |
| 172 | auto tfLiteDelegateOutputId = tfLiteInterpreter->outputs()[0]; |
| 173 | auto tfLiteDelegateOutputData = tfLiteInterpreter->typed_tensor<bool>(tfLiteDelegateOutputId); |
| 174 | auto armnnDelegateOutputId = armnnDelegateInterpreter->outputs()[0]; |
| 175 | auto armnnDelegateOutputData = armnnDelegateInterpreter->typed_tensor<bool>(armnnDelegateOutputId); |
| 176 | |
| 177 | armnnDelegate::CompareData(expectedOutputValues, armnnDelegateOutputData, expectedOutputValues.size()); |
| 178 | armnnDelegate::CompareData(expectedOutputValues, tfLiteDelegateOutputData, expectedOutputValues.size()); |
| 179 | armnnDelegate::CompareData(tfLiteDelegateOutputData, armnnDelegateOutputData, expectedOutputValues.size()); |
| 180 | |
| 181 | armnnDelegateInterpreter.reset(nullptr); |
| 182 | tfLiteInterpreter.reset(nullptr); |
Sadik Armagan | 0534e03 | 2020-10-27 17:30:18 +0000 | [diff] [blame] | 183 | } |
| 184 | |
| 185 | } // anonymous namespace |
| 186 | |
| 187 | |
| 188 | |
| 189 | |