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 --- ...deserialize_space_to_batch_nd_8cpp_source.xhtml | 120 +++++++++++++++++++++ 1 file changed, 120 insertions(+) create mode 100644 20.02/_deserialize_space_to_batch_nd_8cpp_source.xhtml (limited to '20.02/_deserialize_space_to_batch_nd_8cpp_source.xhtml') diff --git a/20.02/_deserialize_space_to_batch_nd_8cpp_source.xhtml b/20.02/_deserialize_space_to_batch_nd_8cpp_source.xhtml new file mode 100644 index 0000000000..8a61cd9d70 --- /dev/null +++ b/20.02/_deserialize_space_to_batch_nd_8cpp_source.xhtml @@ -0,0 +1,120 @@ + + + + + + + + + + + + + +ArmNN: src/armnnDeserializer/test/DeserializeSpaceToBatchNd.cpp Source File + + + + + + + + + + + + + + + + +
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DeserializeSpaceToBatchNd.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 
12 BOOST_AUTO_TEST_SUITE(Deserializer)
13 
14 struct SpaceToBatchNdFixture : public ParserFlatbuffersSerializeFixture
15 {
16  explicit SpaceToBatchNdFixture(const std::string &inputShape,
17  const std::string &blockShape,
18  const std::string &padList,
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: "SpaceToBatchNdLayer",
54  layer: {
55  base: {
56  index: 1,
57  layerName: "SpaceToBatchNdLayer",
58  layerType: "SpaceToBatchNd",
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  padList: )" + padList + 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 SimpleSpaceToBatchNdFixture : SpaceToBatchNdFixture
110 {
111  SimpleSpaceToBatchNdFixture() : SpaceToBatchNdFixture("[ 2, 1, 2, 4 ]",
112  "[ 2, 2 ]",
113  "[ 0, 0, 2, 0 ]",
114  "NCHW",
115  "[ 8, 1, 1, 3 ]",
116  "Float32") {}
117 };
118 
119 BOOST_FIXTURE_TEST_CASE(SimpleSpaceToBatchNdFloat32, SimpleSpaceToBatchNdFixture)
120 {
121  RunTest<4, armnn::DataType::Float32>(0,
122  {
123  1.0f, 2.0f, 3.0f, 4.0f,
124  5.0f, 6.0f, 7.0f, 8.0f,
125  9.0f, 10.0f, 11.0f, 12.0f,
126  13.0f, 14.0f, 15.0f, 16.0f
127  },
128  {
129  0.0f, 1.0f, 3.0f,
130  0.0f, 9.0f, 11.0f,
131  0.0f, 2.0f, 4.0f,
132  0.0f, 10.0f, 12.0f,
133  0.0f, 5.0f, 7.0f,
134  0.0f, 13.0f, 15.0f,
135  0.0f, 6.0f, 8.0f,
136  0.0f, 14.0f, 16.0f
137  });
138 }
139 
BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
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void SetupSingleInputSingleOutput(const std::string &inputName, const std::string &outputName)
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BOOST_FIXTURE_TEST_CASE(SimpleSpaceToBatchNdFloat32, SimpleSpaceToBatchNdFixture)
+ + +
BOOST_AUTO_TEST_SUITE_END()
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