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_reshape_8cpp_source.xhtml | 120 +++++++++++++++++++++++++++ 1 file changed, 120 insertions(+) create mode 100644 20.02/_deserialize_reshape_8cpp_source.xhtml (limited to '20.02/_deserialize_reshape_8cpp_source.xhtml') diff --git a/20.02/_deserialize_reshape_8cpp_source.xhtml b/20.02/_deserialize_reshape_8cpp_source.xhtml new file mode 100644 index 0000000000..c08f9113ad --- /dev/null +++ b/20.02/_deserialize_reshape_8cpp_source.xhtml @@ -0,0 +1,120 @@ + + + + + + + + + + + + + +ArmNN: src/armnnDeserializer/test/DeserializeReshape.cpp Source File + + + + + + + + + + + + + + + + +
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DeserializeReshape.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 ReshapeFixture : public ParserFlatbuffersSerializeFixture
16 {
17  explicit ReshapeFixture(const std::string &inputShape,
18  const std::string &targetShape,
19  const std::string &outputShape,
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  layer_type: "ReshapeLayer",
50  layer: {
51  base: {
52  index: 1,
53  layerName: "ReshapeLayer",
54  layerType: "Reshape",
55  inputSlots: [{
56  index: 0,
57  connection: {sourceLayerIndex:0, outputSlotIndex:0 },
58  }],
59  outputSlots: [ {
60  index: 0,
61  tensorInfo: {
62  dimensions: )" + inputShape + R"(,
63  dataType: )" + dataType + R"(
64 
65  }}]},
66  descriptor: {
67  targetShape: )" + targetShape + R"(,
68  }
69 
70  }},
71  {
72  layer_type: "OutputLayer",
73  layer: {
74  base:{
75  layerBindingId: 2,
76  base: {
77  index: 2,
78  layerName: "OutputLayer",
79  layerType: "Output",
80  inputSlots: [{
81  index: 0,
82  connection: {sourceLayerIndex:0, outputSlotIndex:0 },
83  }],
84  outputSlots: [ {
85  index: 0,
86  tensorInfo: {
87  dimensions: )" + outputShape + R"(,
88  dataType: )" + dataType + R"(
89  },
90  }],
91  }}},
92  }]
93  }
94  )";
95  SetupSingleInputSingleOutput("InputLayer", "OutputLayer");
96  }
97 };
98 
99 struct SimpleReshapeFixture : ReshapeFixture
100 {
101  SimpleReshapeFixture() : ReshapeFixture("[ 1, 9 ]", "[ 3, 3 ]", "[ 3, 3 ]",
102  "QuantisedAsymm8") {}
103 };
104 
105 struct SimpleReshapeFixture2 : ReshapeFixture
106 {
107  SimpleReshapeFixture2() : ReshapeFixture("[ 2, 2, 1, 1 ]",
108  "[ 2, 2, 1, 1 ]",
109  "[ 2, 2, 1, 1 ]",
110  "Float32") {}
111 };
112 
113 BOOST_FIXTURE_TEST_CASE(ReshapeQuantisedAsymm8, SimpleReshapeFixture)
114 {
115  RunTest<2, armnn::DataType::QAsymmU8>(0,
116  { 1, 2, 3, 4, 5, 6, 7, 8, 9 },
117  { 1, 2, 3, 4, 5, 6, 7, 8, 9 });
118 }
119 
120 BOOST_FIXTURE_TEST_CASE(ReshapeFloat32, SimpleReshapeFixture2)
121 {
122  RunTest<4, armnn::DataType::Float32>(0,
123  { 111, 85, 226, 3 },
124  { 111, 85, 226, 3 });
125 }
126 
127 
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(ReshapeQuantisedAsymm8, SimpleReshapeFixture)
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BOOST_AUTO_TEST_SUITE_END()
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