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_pad_8cpp_source.xhtml | 120 +++++++++++++++++++++++++++++++ 1 file changed, 120 insertions(+) create mode 100644 20.02/_deserialize_pad_8cpp_source.xhtml (limited to '20.02/_deserialize_pad_8cpp_source.xhtml') diff --git a/20.02/_deserialize_pad_8cpp_source.xhtml b/20.02/_deserialize_pad_8cpp_source.xhtml new file mode 100644 index 0000000000..3f1f740d9e --- /dev/null +++ b/20.02/_deserialize_pad_8cpp_source.xhtml @@ -0,0 +1,120 @@ + + + + + + + + + + + + + +ArmNN: src/armnnDeserializer/test/DeserializePad.cpp Source File + + + + + + + + + + + + + + + + +
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+  20.02 +
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+
DeserializePad.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>
7 #include "ParserFlatbuffersSerializeFixture.hpp"
8 #include "../Deserializer.hpp"
9 
10 #include <string>
11 
12 BOOST_AUTO_TEST_SUITE(Deserializer)
13 
14 struct PadFixture : public ParserFlatbuffersSerializeFixture
15 {
16  explicit PadFixture(const std::string &inputShape,
17  const std::string &padList,
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: "PadLayer",
52  layer: {
53  base: {
54  index: 1,
55  layerName: "PadLayer",
56  layerType: "Pad",
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  descriptor: {
70  padList: )" + padList + R"(,
71  }
72  }
73  },
74  {
75  layer_type: "OutputLayer",
76  layer: {
77  base:{
78  layerBindingId: 2,
79  base: {
80  index: 2,
81  layerName: "OutputLayer",
82  layerType: "Output",
83  inputSlots: [{
84  index: 0,
85  connection: {sourceLayerIndex:1, outputSlotIndex:0 },
86  }],
87  outputSlots: [{
88  index: 0,
89  tensorInfo: {
90  dimensions: )" + outputShape + R"(,
91  dataType: )" + dataType + R"(
92  },
93  }],
94  }
95  }
96  },
97  }
98  ]
99  }
100  )";
101  SetupSingleInputSingleOutput("InputLayer", "OutputLayer");
102  }
103 };
104 
105 struct SimplePadFixture : PadFixture
106 {
107  SimplePadFixture() : PadFixture("[ 2, 2, 2 ]",
108  "[ 0, 1, 2, 1, 2, 2 ]",
109  "[ 3, 5, 6 ]",
110  "QuantisedAsymm8") {}
111 };
112 
113 BOOST_FIXTURE_TEST_CASE(SimplePadQuantisedAsymm8, SimplePadFixture)
114 {
115  RunTest<3, armnn::DataType::QAsymmU8>(0,
116  {
117  0, 4, 2, 5, 6, 1, 5, 2
118  },
119  {
120  0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
121  4, 0, 0, 0, 0, 2, 5, 0, 0, 0, 0, 0, 0, 0, 0,
122  0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6,
123  1, 0, 0, 0, 0, 5, 2, 0, 0, 0, 0, 0, 0, 0, 0,
124  0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
125  0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
126  });
127 }
128 
129 BOOST_AUTO_TEST_SUITE_END()
BOOST_AUTO_TEST_SUITE
BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
+ +
ParserFlatbuffersSerializeFixture::SetupSingleInputSingleOutput
void SetupSingleInputSingleOutput(const std::string &inputName, const std::string &outputName)
Definition: ParserFlatbuffersSerializeFixture.hpp:83
+
BOOST_FIXTURE_TEST_CASE
BOOST_FIXTURE_TEST_CASE(SimplePadQuantisedAsymm8, SimplePadFixture)
Definition: DeserializePad.cpp:113
+ +
ParserFlatbuffersSerializeFixture.hpp
+
BOOST_AUTO_TEST_SUITE_END
BOOST_AUTO_TEST_SUITE_END()
+
+
+ + + + -- cgit v1.2.1