From fd627ffaec8fd8801d980b4c91ee7c0607ab6aaf Mon Sep 17 00:00:00 2001 From: Jan Eilers Date: Thu, 25 Feb 2021 17:44:00 +0000 Subject: IVGCVSW-5687 Update Doxygen Docu * Update Doxygen Documentation for 21.02 release Signed-off-by: Jan Eilers Change-Id: I9ed2f9caab038836ea99d7b378d7899fe431a4e5 --- ...deserialize_batch_to_space_nd_8cpp_source.xhtml | 121 +++++++++++++++++++++ 1 file changed, 121 insertions(+) create mode 100644 21.02/_deserialize_batch_to_space_nd_8cpp_source.xhtml (limited to '21.02/_deserialize_batch_to_space_nd_8cpp_source.xhtml') diff --git a/21.02/_deserialize_batch_to_space_nd_8cpp_source.xhtml b/21.02/_deserialize_batch_to_space_nd_8cpp_source.xhtml new file mode 100644 index 0000000000..c3fabd1aee --- /dev/null +++ b/21.02/_deserialize_batch_to_space_nd_8cpp_source.xhtml @@ -0,0 +1,121 @@ + + + + + + + + + + + + + +ArmNN: src/armnnDeserializer/test/DeserializeBatchToSpaceNd.cpp Source File + + + + + + + + + + + + + + + + +
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DeserializeBatchToSpaceNd.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>
9 
10 #include <string>
11 
12 BOOST_AUTO_TEST_SUITE(Deserializer)
13 
14 struct BatchToSpaceNdFixture : public ParserFlatbuffersSerializeFixture
15 {
16  explicit BatchToSpaceNdFixture(const std::string &inputShape,
17  const std::string &blockShape,
18  const std::string &crops,
19  const std::string &dataLayout,
20  const std::string &outputShape,
21  const std::string &dataType)
22  {
23  m_JsonString = R"(
24  {
25  inputIds: [0],
26  outputIds: [2],
27  layers: [
28  {
29  layer_type: "InputLayer",
30  layer: {
31  base: {
32  layerBindingId: 0,
33  base: {
34  index: 0,
35  layerName: "InputLayer",
36  layerType: "Input",
37  inputSlots: [{
38  index: 0,
39  connection: {sourceLayerIndex:0, outputSlotIndex:0 },
40  }],
41  outputSlots: [{
42  index: 0,
43  tensorInfo: {
44  dimensions: )" + inputShape + R"(,
45  dataType: )" + dataType + R"(
46  }
47  }]
48  }
49  }
50  }
51  },
52  {
53  layer_type: "BatchToSpaceNdLayer",
54  layer: {
55  base: {
56  index: 1,
57  layerName: "BatchToSpaceNdLayer",
58  layerType: "BatchToSpaceNd",
59  inputSlots: [{
60  index: 0,
61  connection: {sourceLayerIndex:0, outputSlotIndex:0 },
62  }],
63  outputSlots: [{
64  index: 0,
65  tensorInfo: {
66  dimensions: )" + outputShape + R"(,
67  dataType: )" + dataType + R"(
68  }
69  }]
70  },
71  descriptor: {
72  blockShape: )" + blockShape + R"(,
73  crops: )" + crops + R"(,
74  dataLayout: )" + dataLayout + R"(,
75  }
76  }
77  },
78  {
79  layer_type: "OutputLayer",
80  layer: {
81  base:{
82  layerBindingId: 2,
83  base: {
84  index: 2,
85  layerName: "OutputLayer",
86  layerType: "Output",
87  inputSlots: [{
88  index: 0,
89  connection: {sourceLayerIndex:1, outputSlotIndex:0 },
90  }],
91  outputSlots: [{
92  index: 0,
93  tensorInfo: {
94  dimensions: )" + outputShape + R"(,
95  dataType: )" + dataType + R"(
96  },
97  }],
98  }
99  }
100  },
101  }
102  ]
103  }
104  )";
105  SetupSingleInputSingleOutput("InputLayer", "OutputLayer");
106  }
107 };
108 
109 struct SimpleBatchToSpaceNdFixture : BatchToSpaceNdFixture
110 {
111  SimpleBatchToSpaceNdFixture() : BatchToSpaceNdFixture("[ 4, 2, 2, 1 ]",
112  "[ 2, 2 ]",
113  "[ 0, 0, 0, 0 ]",
114  "NHWC",
115  "[ 1, 4, 4, 1 ]",
116  "Float32") {}
117 };
118 
119 BOOST_FIXTURE_TEST_CASE(SimpleBatchToSpaceNdFloat32, SimpleBatchToSpaceNdFixture)
120 {
121  RunTest<4, armnn::DataType::Float32>(0,
122  {
123  1.0f, 3.0f, 9.0f, 11.0f,
124  2.0f, 4.0f, 10.0f, 12.0f,
125  5.0f, 7.0f, 13.0f, 15.0f,
126  6.0f, 8.0f, 14.0f, 16.0f
127  },
128  {
129  1.0f, 2.0f, 3.0f, 4.0f,
130  5.0f, 6.0f, 7.0f, 8.0f,
131  9.0f, 10.0f, 11.0f, 12.0f,
132  13.0f, 14.0f, 15.0f, 16.0f
133  });
134 }
135 
BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
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void SetupSingleInputSingleOutput(const std::string &inputName, const std::string &outputName)
+ + +
BOOST_AUTO_TEST_SUITE_END()
+ + +
BOOST_FIXTURE_TEST_CASE(SimpleBatchToSpaceNdFloat32, SimpleBatchToSpaceNdFixture)
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