ArmNN
 20.11
DeserializeMean.cpp
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1 //
2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include <boost/test/unit_test.hpp>
8 #include "../Deserializer.hpp"
9 
10 #include <string>
11 #include <iostream>
12 
13 BOOST_AUTO_TEST_SUITE(Deserializer)
14 
15 struct MeanFixture : public ParserFlatbuffersSerializeFixture
16 {
17  explicit MeanFixture(const std::string &inputShape,
18  const std::string &outputShape,
19  const std::string &axis,
20  const std::string &dataType)
21  {
22  m_JsonString = R"(
23  {
24  inputIds: [0],
25  outputIds: [2],
26  layers: [
27  {
28  layer_type: "InputLayer",
29  layer: {
30  base: {
31  layerBindingId: 0,
32  base: {
33  index: 0,
34  layerName: "InputLayer",
35  layerType: "Input",
36  inputSlots: [{
37  index: 0,
38  connection: {sourceLayerIndex:0, outputSlotIndex:0 },
39  }],
40  outputSlots: [{
41  index: 0,
42  tensorInfo: {
43  dimensions: )" + inputShape + R"(,
44  dataType: )" + dataType + R"(
45  }
46  }]
47  }
48  }
49  }
50  },
51  {
52  layer_type: "MeanLayer",
53  layer: {
54  base: {
55  index: 1,
56  layerName: "MeanLayer",
57  layerType: "Mean",
58  inputSlots: [{
59  index: 0,
60  connection: {sourceLayerIndex:0, outputSlotIndex:0 },
61  }],
62  outputSlots: [{
63  index: 0,
64  tensorInfo: {
65  dimensions: )" + outputShape + R"(,
66  dataType: )" + dataType + R"(
67  }
68  }]
69  },
70  descriptor: {
71  axis: )" + axis + R"(,
72  keepDims: true
73  }
74  }
75  },
76  {
77  layer_type: "OutputLayer",
78  layer: {
79  base:{
80  layerBindingId: 2,
81  base: {
82  index: 2,
83  layerName: "OutputLayer",
84  layerType: "Output",
85  inputSlots: [{
86  index: 0,
87  connection: {sourceLayerIndex:1, outputSlotIndex:0 },
88  }],
89  outputSlots: [{
90  index: 0,
91  tensorInfo: {
92  dimensions: )" + outputShape + R"(,
93  dataType: )" + dataType + R"(
94  },
95  }],
96  }
97  }
98  },
99  }
100  ]
101  }
102  )";
103  Setup();
104  }
105 };
106 
107 struct SimpleMeanFixture : MeanFixture
108 {
109  SimpleMeanFixture()
110  : MeanFixture("[ 1, 1, 3, 2 ]", // inputShape
111  "[ 1, 1, 1, 2 ]", // outputShape
112  "[ 2 ]", // axis
113  "Float32") // dataType
114  {}
115 };
116 
117 BOOST_FIXTURE_TEST_CASE(SimpleMean, SimpleMeanFixture)
118 {
119  RunTest<4, armnn::DataType::Float32>(
120  0,
121  {{"InputLayer", { 1.0f, 1.0f, 2.0f, 2.0f, 3.0f, 3.0f }}},
122  {{"OutputLayer", { 2.0f, 2.0f }}});
123 }
124 
BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
BOOST_AUTO_TEST_SUITE_END()
BOOST_FIXTURE_TEST_CASE(SimpleMean, SimpleMeanFixture)