1 //
2 // Copyright © 2021, 2023 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5
6 #pragma once
7
8 #include "TestUtils.hpp"
9
10 #include <armnn_delegate.hpp>
11 #include <DelegateTestInterpreter.hpp>
12
13 #include <flatbuffers/flatbuffers.h>
14 #include <tensorflow/lite/kernels/register.h>
15 #include <tensorflow/lite/version.h>
16
17 #include <schema_generated.h>
18
19 #include <doctest/doctest.h>
20
21 namespace
22 {
CreateSpaceDepthTfLiteModel(tflite::BuiltinOperator spaceDepthOperatorCode,tflite::TensorType tensorType,const std::vector<int32_t> & inputTensorShape,const std::vector<int32_t> & outputTensorShape,int32_t blockSize)23 std::vector<char> CreateSpaceDepthTfLiteModel(tflite::BuiltinOperator spaceDepthOperatorCode,
24 tflite::TensorType tensorType,
25 const std::vector <int32_t>& inputTensorShape,
26 const std::vector <int32_t>& outputTensorShape,
27 int32_t blockSize)
28 {
29 using namespace tflite;
30 flatbuffers::FlatBufferBuilder flatBufferBuilder;
31
32 auto quantizationParameters =
33 CreateQuantizationParameters(flatBufferBuilder,
34 0,
35 0,
36 flatBufferBuilder.CreateVector<float>({ 1.0f }),
37 flatBufferBuilder.CreateVector<int64_t>({ 0 }));
38
39 std::vector<flatbuffers::Offset<tflite::Buffer>> buffers;
40 buffers.push_back(CreateBuffer(flatBufferBuilder));
41 buffers.push_back(CreateBuffer(flatBufferBuilder));
42 buffers.push_back(CreateBuffer(flatBufferBuilder));
43
44 std::array<flatbuffers::Offset<Tensor>, 2> tensors;
45 tensors[0] = CreateTensor(flatBufferBuilder,
46 flatBufferBuilder.CreateVector<int32_t>(inputTensorShape.data(),
47 inputTensorShape.size()),
48 tensorType,
49 1,
50 flatBufferBuilder.CreateString("input"),
51 quantizationParameters);
52 tensors[1] = CreateTensor(flatBufferBuilder,
53 flatBufferBuilder.CreateVector<int32_t>(outputTensorShape.data(),
54 outputTensorShape.size()),
55 tensorType,
56 2,
57 flatBufferBuilder.CreateString("output"),
58 quantizationParameters);
59
60 const std::vector<int32_t> operatorInputs({0});
61 const std::vector<int32_t> operatorOutputs({1});
62
63 flatbuffers::Offset<Operator> spaceDepthOperator;
64 flatbuffers::Offset<flatbuffers::String> modelDescription;
65 flatbuffers::Offset<OperatorCode> operatorCode;
66
67 switch (spaceDepthOperatorCode)
68 {
69 case tflite::BuiltinOperator_SPACE_TO_DEPTH:
70 spaceDepthOperator =
71 CreateOperator(flatBufferBuilder,
72 0,
73 flatBufferBuilder.CreateVector<int32_t>(operatorInputs.data(), operatorInputs.size()),
74 flatBufferBuilder.CreateVector<int32_t>(operatorOutputs.data(), operatorOutputs.size()),
75 BuiltinOptions_SpaceToDepthOptions,
76 CreateSpaceToDepthOptions(flatBufferBuilder, blockSize).Union());
77 modelDescription = flatBufferBuilder.CreateString("ArmnnDelegate: SPACE_TO_DEPTH Operator Model");
78 operatorCode = CreateOperatorCode(flatBufferBuilder,
79 tflite::BuiltinOperator_SPACE_TO_DEPTH);
80 break;
81 case tflite::BuiltinOperator_DEPTH_TO_SPACE:
82 spaceDepthOperator =
83 CreateOperator(flatBufferBuilder,
84 0,
85 flatBufferBuilder.CreateVector<int32_t>(operatorInputs.data(), operatorInputs.size()),
86 flatBufferBuilder.CreateVector<int32_t>(operatorOutputs.data(), operatorOutputs.size()),
87 BuiltinOptions_DepthToSpaceOptions,
88 CreateDepthToSpaceOptions(flatBufferBuilder, blockSize).Union());
89 flatBufferBuilder.CreateString("ArmnnDelegate: DEPTH_TO_SPACE Operator Model");
90 operatorCode = CreateOperatorCode(flatBufferBuilder,
91 tflite::BuiltinOperator_DEPTH_TO_SPACE);
92 break;
93 default:
94 break;
95 }
96 const std::vector<int32_t> subgraphInputs({0});
97 const std::vector<int32_t> subgraphOutputs({1});
98 flatbuffers::Offset<SubGraph> subgraph =
99 CreateSubGraph(flatBufferBuilder,
100 flatBufferBuilder.CreateVector(tensors.data(), tensors.size()),
101 flatBufferBuilder.CreateVector<int32_t>(subgraphInputs.data(), subgraphInputs.size()),
102 flatBufferBuilder.CreateVector<int32_t>(subgraphOutputs.data(), subgraphOutputs.size()),
103 flatBufferBuilder.CreateVector(&spaceDepthOperator, 1));
104 flatbuffers::Offset<Model> flatbufferModel =
105 CreateModel(flatBufferBuilder,
106 TFLITE_SCHEMA_VERSION,
107 flatBufferBuilder.CreateVector(&operatorCode, 1),
108 flatBufferBuilder.CreateVector(&subgraph, 1),
109 modelDescription,
110 flatBufferBuilder.CreateVector(buffers.data(), buffers.size()));
111 flatBufferBuilder.Finish(flatbufferModel, armnnDelegate::FILE_IDENTIFIER);
112 return std::vector<char>(flatBufferBuilder.GetBufferPointer(),
113 flatBufferBuilder.GetBufferPointer() + flatBufferBuilder.GetSize());
114 }
115
116 template <typename T>
SpaceDepthTest(tflite::BuiltinOperator spaceDepthOperatorCode,tflite::TensorType tensorType,std::vector<armnn::BackendId> & backends,std::vector<int32_t> & inputShape,std::vector<int32_t> & outputShape,std::vector<T> & inputValues,std::vector<T> & expectedOutputValues,int32_t blockSize=2)117 void SpaceDepthTest(tflite::BuiltinOperator spaceDepthOperatorCode,
118 tflite::TensorType tensorType,
119 std::vector<armnn::BackendId>& backends,
120 std::vector<int32_t>& inputShape,
121 std::vector<int32_t>& outputShape,
122 std::vector<T>& inputValues,
123 std::vector<T>& expectedOutputValues,
124 int32_t blockSize = 2)
125 {
126 using namespace delegateTestInterpreter;
127 std::vector<char> modelBuffer = CreateSpaceDepthTfLiteModel(spaceDepthOperatorCode,
128 tensorType,
129 inputShape,
130 outputShape,
131 blockSize);
132
133 // Setup interpreter with just TFLite Runtime.
134 auto tfLiteInterpreter = DelegateTestInterpreter(modelBuffer);
135 CHECK(tfLiteInterpreter.AllocateTensors() == kTfLiteOk);
136 CHECK(tfLiteInterpreter.FillInputTensor<T>(inputValues, 0) == kTfLiteOk);
137 CHECK(tfLiteInterpreter.Invoke() == kTfLiteOk);
138 std::vector<T> tfLiteOutputValues = tfLiteInterpreter.GetOutputResult<T>(0);
139 std::vector<int32_t> tfLiteOutputShape = tfLiteInterpreter.GetOutputShape(0);
140
141 // Setup interpreter with Arm NN Delegate applied.
142 auto armnnInterpreter = DelegateTestInterpreter(modelBuffer, backends);
143 CHECK(armnnInterpreter.AllocateTensors() == kTfLiteOk);
144 CHECK(armnnInterpreter.FillInputTensor<T>(inputValues, 0) == kTfLiteOk);
145 CHECK(armnnInterpreter.Invoke() == kTfLiteOk);
146 std::vector<T> armnnOutputValues = armnnInterpreter.GetOutputResult<T>(0);
147 std::vector<int32_t> armnnOutputShape = armnnInterpreter.GetOutputShape(0);
148
149 armnnDelegate::CompareOutputData<T>(tfLiteOutputValues, armnnOutputValues, expectedOutputValues);
150 armnnDelegate::CompareOutputShape(tfLiteOutputShape, armnnOutputShape, outputShape);
151
152 tfLiteInterpreter.Cleanup();
153 armnnInterpreter.Cleanup();
154 }
155
156 } // anonymous namespace
157