From 6940dd720ebb6b3d1df8ca203ab696daefe58189 Mon Sep 17 00:00:00 2001 From: Jim Flynn Date: Fri, 20 Mar 2020 12:25:56 +0000 Subject: renamed Documentation folder 20.02 and added .nojekyll file Signed-off-by: Jim Flynn --- 20.02/_deserialize_abs_8cpp_source.xhtml | 120 +++++++++++++++++++++++++++++++ 1 file changed, 120 insertions(+) create mode 100644 20.02/_deserialize_abs_8cpp_source.xhtml (limited to '20.02/_deserialize_abs_8cpp_source.xhtml') diff --git a/20.02/_deserialize_abs_8cpp_source.xhtml b/20.02/_deserialize_abs_8cpp_source.xhtml new file mode 100644 index 0000000000..4616cb3a19 --- /dev/null +++ b/20.02/_deserialize_abs_8cpp_source.xhtml @@ -0,0 +1,120 @@ + + + + + + + + + + + + + +ArmNN: src/armnnDeserializer/test/DeserializeAbs.cpp Source File + + + + + + + + + + + + + + + + +
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DeserializeAbs.cpp
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+Go to the documentation of this file.
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 AbsFixture : public ParserFlatbuffersSerializeFixture
16  {
17  explicit AbsFixture(const std::string &inputShape,
18  const std::string &outputShape,
19  const std::string &dataType)
20  {
21  m_JsonString = R"(
22  {
23  inputIds: [0],
24  outputIds: [2],
25  layers: [
26  {
27  layer_type: "InputLayer",
28  layer: {
29  base: {
30  layerBindingId: 0,
31  base: {
32  index: 0,
33  layerName: "InputLayer",
34  layerType: "Input",
35  inputSlots: [{
36  index: 0,
37  connection: {sourceLayerIndex:0, outputSlotIndex:0 },
38  }],
39  outputSlots: [{
40  index: 0,
41  tensorInfo: {
42  dimensions: )" + inputShape + R"(,
43  dataType: )" + dataType + R"(
44  }
45  }]
46  }
47  }
48  }
49  },
50  {
51  layer_type: "AbsLayer",
52  layer: {
53  base: {
54  index: 1,
55  layerName: "AbsLayer",
56  layerType: "Abs",
57  inputSlots: [{
58  index: 0,
59  connection: {sourceLayerIndex:0, outputSlotIndex:0 },
60  }],
61  outputSlots: [{
62  index: 0,
63  tensorInfo: {
64  dimensions: )" + outputShape + R"(,
65  dataType: )" + dataType + R"(
66  }
67  }]
68  }
69 
70  }
71  },
72  {
73  layer_type: "OutputLayer",
74  layer: {
75  base:{
76  layerBindingId: 2,
77  base: {
78  index: 2,
79  layerName: "OutputLayer",
80  layerType: "Output",
81  inputSlots: [{
82  index: 0,
83  connection: {sourceLayerIndex:1, outputSlotIndex:0 },
84  }],
85  outputSlots: [{
86  index: 0,
87  tensorInfo: {
88  dimensions: )" + outputShape + R"(,
89  dataType: )" + dataType + R"(
90  },
91  }],
92  }
93  }
94  },
95  }
96  ]
97  }
98  )";
99  Setup();
100  }
101  };
102 
103  struct SimpleAbsFixture : AbsFixture
104  {
105  SimpleAbsFixture()
106  : AbsFixture("[ 1, 2, 2, 2 ]", // inputShape
107  "[ 1, 2, 2, 2 ]", // outputShape
108  "Float32") // dataType
109  {}
110  };
111 
112  BOOST_FIXTURE_TEST_CASE(SimpleAbsTest, SimpleAbsFixture)
113  {
114  RunTest<4, armnn::DataType::Float32>(
115  0,
116  {{"InputLayer", { -100.0f, -50.5f, -25.9999f, -0.5f , 0.0f, 1.5555f, 25.5f, 100.0f }}},
117  {{"OutputLayer", { 100.0f, 50.0f, 25.9999f, 0.5f , 0.0f, 1.5555f, 25.5f, 100.0f }}});
118  }
119 
BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
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BOOST_AUTO_TEST_SUITE_END()
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BOOST_FIXTURE_TEST_CASE(SimpleAbsTest, SimpleAbsFixture)
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