David Monahan | 0cf8442 | 2020-11-16 15:53:03 +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 | |
Matthew Sloyan | 7515d07 | 2020-12-16 12:50:01 +0000 | [diff] [blame] | 8 | #include "TestUtils.hpp" |
| 9 | |
David Monahan | 0cf8442 | 2020-11-16 15:53:03 +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> CreateActivationTfLiteModel(tflite::BuiltinOperator activationOperatorCode, |
| 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}; |
David Monahan | 0cf8442 | 2020-11-16 15:53:03 +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}; |
David Monahan | 0cf8442 | 2020-11-16 15:53:03 +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: Activation Operator Model"); |
| 62 | flatbuffers::Offset <OperatorCode> operatorCode = CreateOperatorCode(flatBufferBuilder, activationOperatorCode); |
| 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 ActivationTest(tflite::BuiltinOperator activationOperatorCode, |
| 79 | std::vector<armnn::BackendId>& backends, |
| 80 | std::vector<float>& inputValues, |
| 81 | std::vector<float>& expectedOutputValues) |
| 82 | { |
| 83 | using namespace tflite; |
Matthew Sloyan | 7515d07 | 2020-12-16 12:50:01 +0000 | [diff] [blame] | 84 | std::vector<int32_t> inputShape { { 4, 1, 4} }; |
David Monahan | 0cf8442 | 2020-11-16 15:53:03 +0000 | [diff] [blame] | 85 | std::vector<char> modelBuffer = CreateActivationTfLiteModel(activationOperatorCode, |
| 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); |
| 102 | |
| 103 | // Create the ArmNN Delegate |
| 104 | armnnDelegate::DelegateOptions delegateOptions(backends); |
| 105 | std::unique_ptr<TfLiteDelegate, decltype(&armnnDelegate::TfLiteArmnnDelegateDelete)> |
| 106 | theArmnnDelegate(armnnDelegate::TfLiteArmnnDelegateCreate(delegateOptions), |
| 107 | armnnDelegate::TfLiteArmnnDelegateDelete); |
| 108 | CHECK(theArmnnDelegate != nullptr); |
| 109 | // Modify armnnDelegateInterpreter to use armnnDelegate |
| 110 | CHECK(armnnDelegateInterpreter->ModifyGraphWithDelegate(theArmnnDelegate.get()) == kTfLiteOk); |
| 111 | |
| 112 | // Set input data |
Matthew Sloyan | 7515d07 | 2020-12-16 12:50:01 +0000 | [diff] [blame] | 113 | armnnDelegate::FillInput<float>(tfLiteInterpreter, 0, inputValues); |
| 114 | armnnDelegate::FillInput<float>(armnnDelegateInterpreter, 0, inputValues); |
David Monahan | 0cf8442 | 2020-11-16 15:53:03 +0000 | [diff] [blame] | 115 | |
David Monahan | 0cf8442 | 2020-11-16 15:53:03 +0000 | [diff] [blame] | 116 | // Run EnqueWorkload |
| 117 | CHECK(tfLiteInterpreter->Invoke() == kTfLiteOk); |
| 118 | CHECK(armnnDelegateInterpreter->Invoke() == kTfLiteOk); |
| 119 | |
| 120 | // Compare output data |
Matthew Sloyan | 7515d07 | 2020-12-16 12:50:01 +0000 | [diff] [blame] | 121 | armnnDelegate::CompareOutputData<float>(tfLiteInterpreter, |
| 122 | armnnDelegateInterpreter, |
| 123 | inputShape, |
| 124 | expectedOutputValues); |
| 125 | |
| 126 | tfLiteInterpreter.reset(nullptr); |
| 127 | armnnDelegateInterpreter.reset(nullptr); |
David Monahan | 0cf8442 | 2020-11-16 15:53:03 +0000 | [diff] [blame] | 128 | } |
| 129 | |
| 130 | } // anonymous namespace |