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_log_softmax_8cpp_source.xhtml | 120 +++++++++++++++++++++++ 1 file changed, 120 insertions(+) create mode 100644 20.02/_deserialize_log_softmax_8cpp_source.xhtml (limited to '20.02/_deserialize_log_softmax_8cpp_source.xhtml') diff --git a/20.02/_deserialize_log_softmax_8cpp_source.xhtml b/20.02/_deserialize_log_softmax_8cpp_source.xhtml new file mode 100644 index 0000000000..aaf6ef08dc --- /dev/null +++ b/20.02/_deserialize_log_softmax_8cpp_source.xhtml @@ -0,0 +1,120 @@ + + + + + + + + + + + + + +ArmNN: src/armnnDeserializer/test/DeserializeLogSoftmax.cpp Source File + + + + + + + + + + + + + + + + +
+
+ + + + ArmNN + + + +
+
+  20.02 +
+
+
+ + + + + + + +
+
+ +
+
+
+ +
+ +
+
+ + +
+ +
+ +
+
+
DeserializeLogSoftmax.cpp
+
+
+Go to the documentation of this file.
1 //
2 // Copyright © 2019 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
7 #include "../Deserializer.hpp"
8 
9 #include <boost/test/unit_test.hpp>
10 
11 BOOST_AUTO_TEST_SUITE(Deserializer)
12 
13 struct LogSoftmaxFixture : public ParserFlatbuffersSerializeFixture
14 {
15  explicit LogSoftmaxFixture(const std::string &shape,
16  const std::string &beta,
17  const std::string &axis,
18  const std::string &dataType)
19  {
20  m_JsonString = R"(
21  {
22  inputIds: [0],
23  outputIds: [2],
24  layers: [
25  {
26  layer_type: "InputLayer",
27  layer: {
28  base: {
29  layerBindingId: 0,
30  base: {
31  index: 0,
32  layerName: "InputLayer",
33  layerType: "Input",
34  inputSlots: [{
35  index: 0,
36  connection: { sourceLayerIndex:0, outputSlotIndex:0 },
37  }],
38  outputSlots: [{
39  index: 0,
40  tensorInfo: {
41  dimensions: )" + shape + R"(,
42  dataType: ")" + dataType + R"(",
43  quantizationScale: 0.5,
44  quantizationOffset: 0
45  },
46  }]
47  },
48  }
49  },
50  },
51  {
52  layer_type: "LogSoftmaxLayer",
53  layer : {
54  base: {
55  index:1,
56  layerName: "LogSoftmaxLayer",
57  layerType: "LogSoftmax",
58  inputSlots: [{
59  index: 0,
60  connection: { sourceLayerIndex:0, outputSlotIndex:0 },
61  }],
62  outputSlots: [{
63  index: 0,
64  tensorInfo: {
65  dimensions: )" + shape + R"(,
66  dataType: ")" + dataType + R"("
67  },
68  }],
69  },
70  descriptor: {
71  beta: ")" + beta + R"(",
72  axis: )" + axis + R"(
73  },
74  },
75  },
76  {
77  layer_type: "OutputLayer",
78  layer: {
79  base:{
80  layerBindingId: 0,
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: )" + shape + R"(,
93  dataType: ")" + dataType + R"("
94  },
95  }],
96  }
97  }},
98  }]
99  })";
100  SetupSingleInputSingleOutput("InputLayer", "OutputLayer");
101  }
102 };
103 
104 struct LogSoftmaxFloat32Fixture : LogSoftmaxFixture
105 {
106  LogSoftmaxFloat32Fixture() :
107  LogSoftmaxFixture("[ 1, 1, 2, 4 ]", // inputShape
108  "1.0", // beta
109  "3", // axis
110  "Float32") // dataType
111  {}
112 };
113 
114 BOOST_FIXTURE_TEST_CASE(LogSoftmaxFloat32, LogSoftmaxFloat32Fixture)
115 {
116  RunTest<4, armnn::DataType::Float32>(
117  0,
118  {
119  0.f, -6.f, 2.f, 4.f,
120  3.f, -2.f, 10.f, 1.f
121  },
122  {
123  -4.14297f, -10.14297f, -2.14297f, -0.14297f,
124  -7.00104f, -12.00104f, -0.00105f, -9.00104f
125  });
126 }
127 
BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
+
void SetupSingleInputSingleOutput(const std::string &inputName, const std::string &outputName)
+
BOOST_FIXTURE_TEST_CASE(LogSoftmaxFloat32, LogSoftmaxFloat32Fixture)
+ + +
BOOST_AUTO_TEST_SUITE_END()
+ +
+
+ + + + -- cgit v1.2.1