From f4019872c1134c6fcc1d6993e5746f55c1e79208 Mon Sep 17 00:00:00 2001 From: Nikhil Raj Date: Tue, 8 Mar 2022 20:01:38 +0000 Subject: IVGCVSW-6819 Fix the directory structure and broken link to latest docu Signed-off-by: Nikhil Raj Change-Id: I05b559d15faf92c76ff536719693b361316be4f3 --- 22.02/_deserialize_log_softmax_8cpp.xhtml | 151 ++++++++++++++++++++++++++++++ 1 file changed, 151 insertions(+) create mode 100644 22.02/_deserialize_log_softmax_8cpp.xhtml (limited to '22.02/_deserialize_log_softmax_8cpp.xhtml') diff --git a/22.02/_deserialize_log_softmax_8cpp.xhtml b/22.02/_deserialize_log_softmax_8cpp.xhtml new file mode 100644 index 0000000000..25ceef36fe --- /dev/null +++ b/22.02/_deserialize_log_softmax_8cpp.xhtml @@ -0,0 +1,151 @@ + + + + + + + + + + + + + +ArmNN: src/armnnDeserializer/test/DeserializeLogSoftmax.cpp File Reference + + + + + + + + + + + + + + + + +
+
+ + + + ArmNN + + + +
+
+  22.02 +
+
+
+ + + + + + + +
+
+ +
+
+
+ +
+ +
+
+ + +
+ +
+ +
+ +
+
DeserializeLogSoftmax.cpp File Reference
+
+
+ +

Go to the source code of this file.

+ + + + +

+Functions

 TEST_SUITE ("Deserializer_LogSoftmax")
 
+

Function Documentation

+ +

◆ TEST_SUITE()

+ +
+
+ + + + + + + + +
TEST_SUITE ("Deserializer_LogSoftmax" )
+
+ +

Definition at line 9 of file DeserializeLogSoftmax.cpp.

+ +

References ParserFlatbuffersSerializeFixture::SetupSingleInputSingleOutput(), and TEST_CASE_FIXTURE().

+
10 {
11 struct LogSoftmaxFixture : public ParserFlatbuffersSerializeFixture
12 {
13  explicit LogSoftmaxFixture(const std::string &shape,
14  const std::string &beta,
15  const std::string &axis,
16  const std::string &dataType)
17  {
18  m_JsonString = R"(
19  {
20  inputIds: [0],
21  outputIds: [2],
22  layers: [
23  {
24  layer_type: "InputLayer",
25  layer: {
26  base: {
27  layerBindingId: 0,
28  base: {
29  index: 0,
30  layerName: "InputLayer",
31  layerType: "Input",
32  inputSlots: [{
33  index: 0,
34  connection: { sourceLayerIndex:0, outputSlotIndex:0 },
35  }],
36  outputSlots: [{
37  index: 0,
38  tensorInfo: {
39  dimensions: )" + shape + R"(,
40  dataType: ")" + dataType + R"(",
41  quantizationScale: 0.5,
42  quantizationOffset: 0
43  },
44  }]
45  },
46  }
47  },
48  },
49  {
50  layer_type: "LogSoftmaxLayer",
51  layer : {
52  base: {
53  index:1,
54  layerName: "LogSoftmaxLayer",
55  layerType: "LogSoftmax",
56  inputSlots: [{
57  index: 0,
58  connection: { sourceLayerIndex:0, outputSlotIndex:0 },
59  }],
60  outputSlots: [{
61  index: 0,
62  tensorInfo: {
63  dimensions: )" + shape + R"(,
64  dataType: ")" + dataType + R"("
65  },
66  }],
67  },
68  descriptor: {
69  beta: ")" + beta + R"(",
70  axis: )" + axis + R"(
71  },
72  },
73  },
74  {
75  layer_type: "OutputLayer",
76  layer: {
77  base:{
78  layerBindingId: 0,
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: )" + shape + R"(,
91  dataType: ")" + dataType + R"("
92  },
93  }],
94  }
95  }},
96  }]
97  })";
98  SetupSingleInputSingleOutput("InputLayer", "OutputLayer");
99  }
100 };
101 
102 struct LogSoftmaxFloat32Fixture : LogSoftmaxFixture
103 {
104  LogSoftmaxFloat32Fixture() :
105  LogSoftmaxFixture("[ 1, 1, 2, 4 ]", // inputShape
106  "1.0", // beta
107  "3", // axis
108  "Float32") // dataType
109  {}
110 };
111 
112 TEST_CASE_FIXTURE(LogSoftmaxFloat32Fixture, "LogSoftmaxFloat32")
113 {
114  RunTest<4, armnn::DataType::Float32>(
115  0,
116  {
117  0.f, -6.f, 2.f, 4.f,
118  3.f, -2.f, 10.f, 1.f
119  },
120  {
121  -4.14297f, -10.14297f, -2.14297f, -0.14297f,
122  -7.00104f, -12.00104f, -0.00105f, -9.00104f
123  });
124 }
125 
126 }
void SetupSingleInputSingleOutput(const std::string &inputName, const std::string &outputName)
+
TEST_CASE_FIXTURE(ClContextControlFixture, "CopyBetweenNeonAndGpu")
+ +
+
+
+
+
+ + + + -- cgit v1.2.1