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 --- 21.02/_deserialize_reduce_sum_8cpp_source.xhtml | 120 ++++++++++++++++++++++++ 1 file changed, 120 insertions(+) create mode 100644 21.02/_deserialize_reduce_sum_8cpp_source.xhtml (limited to '21.02/_deserialize_reduce_sum_8cpp_source.xhtml') diff --git a/21.02/_deserialize_reduce_sum_8cpp_source.xhtml b/21.02/_deserialize_reduce_sum_8cpp_source.xhtml new file mode 100644 index 0000000000..37c2584844 --- /dev/null +++ b/21.02/_deserialize_reduce_sum_8cpp_source.xhtml @@ -0,0 +1,120 @@ + + + + + + + + + + + + + +ArmNN: src/armnnDeserializer/test/DeserializeReduceSum.cpp Source File + + + + + + + + + + + + + + + + +
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DeserializeReduceSum.cpp
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1 //
2 // Copyright © 2020 Samsung Electronics Co Ltd and Contributors. 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 ReduceSumFixture : public ParserFlatbuffersSerializeFixture
15 {
16  explicit ReduceSumFixture(const std::string& inputShape,
17  const std::string& outputShape,
18  const std::string& axis,
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: "ReduceLayer",
52  layer: {
53  base: {
54  index: 1,
55  layerName: "ReduceSumLayer",
56  layerType: "Reduce",
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  axis: )" + axis + R"(,
71  keepDims: true,
72  reduceOperation: Sum
73  }
74  }
75  },
76  {
77  layer_type: "OutputLayer",
78  layer: {
79  base:{
80  layerBindingId: 2,
81  base: {
82  index: 2,
83  layerName: "OutputLayer",
84  layerType: "Output",
85  inputSlots: [{
86  index: 0,
87  connection: {sourceLayerIndex:1, outputSlotIndex:0 },
88  }],
89  outputSlots: [{
90  index: 0,
91  tensorInfo: {
92  dimensions: )" + outputShape + R"(,
93  dataType: )" + dataType + R"(
94  },
95  }],
96  }
97  }
98  },
99  }
100  ]
101  }
102  )";
103  Setup();
104  }
105 };
106 
107 struct SimpleReduceSumFixture : ReduceSumFixture
108 {
109  SimpleReduceSumFixture()
110  : ReduceSumFixture("[ 1, 1, 3, 2 ]", // inputShape
111  "[ 1, 1, 1, 2 ]", // outputShape
112  "[ 2 ]", // axis
113  "Float32") // dataType
114  {}
115 };
116 
117 BOOST_FIXTURE_TEST_CASE(SimpleReduceSum, SimpleReduceSumFixture)
118 {
119  RunTest<4, armnn::DataType::Float32>(
120  0,
121  {{"InputLayer", { 1.0f, 1.0f, 2.0f, 2.0f, 3.0f, 3.0f }}},
122  {{"OutputLayer", { 6.0f, 6.0f }}});
123 }
124 
BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
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BOOST_AUTO_TEST_SUITE_END()
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BOOST_FIXTURE_TEST_CASE(SimpleReduceSum, SimpleReduceSumFixture)
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