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/_max_pool2_d_8cpp_source.xhtml | 122 +++++++++++++++++++++++++++++++++++ 1 file changed, 122 insertions(+) create mode 100644 21.02/_max_pool2_d_8cpp_source.xhtml (limited to '21.02/_max_pool2_d_8cpp_source.xhtml') diff --git a/21.02/_max_pool2_d_8cpp_source.xhtml b/21.02/_max_pool2_d_8cpp_source.xhtml new file mode 100644 index 0000000000..df6af7a070 --- /dev/null +++ b/21.02/_max_pool2_d_8cpp_source.xhtml @@ -0,0 +1,122 @@ + + + + + + + + + + + + + +ArmNN: src/armnnTfLiteParser/test/MaxPool2D.cpp Source File + + + + + + + + + + + + + + + + +
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+  21.02 +
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MaxPool2D.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 #include <boost/test/unit_test.hpp>
8 
9 BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
10 
11 struct MaxPool2DFixture : public ParserFlatbuffersFixture
12 {
13  explicit MaxPool2DFixture(std::string inputdim, std::string outputdim, std::string dataType)
14  {
15  m_JsonString = R"(
16  {
17  "version": 3,
18  "operator_codes": [ { "builtin_code": "MAX_POOL_2D" } ],
19  "subgraphs": [
20  {
21  "tensors": [
22  {
23  "shape": )"
24  + outputdim
25  + R"(,
26  "type": )"
27  + dataType
28  + R"(,
29  "buffer": 0,
30  "name": "OutputTensor",
31  "quantization": {
32  "min": [ 0.0 ],
33  "max": [ 255.0 ],
34  "scale": [ 1.0 ],
35  "zero_point": [ 0 ]
36  }
37  },
38  {
39  "shape": )"
40  + inputdim
41  + R"(,
42  "type": )"
43  + dataType
44  + R"(,
45  "buffer": 1,
46  "name": "InputTensor",
47  "quantization": {
48  "min": [ 0.0 ],
49  "max": [ 255.0 ],
50  "scale": [ 1.0 ],
51  "zero_point": [ 0 ]
52  }
53  }
54  ],
55  "inputs": [ 1 ],
56  "outputs": [ 0 ],
57  "operators": [ {
58  "opcode_index": 0,
59  "inputs": [ 1 ],
60  "outputs": [ 0 ],
61  "builtin_options_type": "Pool2DOptions",
62  "builtin_options":
63  {
64  "padding": "VALID",
65  "stride_w": 2,
66  "stride_h": 2,
67  "filter_width": 2,
68  "filter_height": 2,
69  "fused_activation_function": "NONE"
70  },
71  "custom_options_format": "FLEXBUFFERS"
72  } ]
73  }
74  ],
75  "description": "MaxPool2D test.",
76  "buffers" : [ {}, {} ]
77  })";
78 
79  SetupSingleInputSingleOutput("InputTensor", "OutputTensor");
80  }
81 };
82 
83 
84 struct MaxPoolLiteFixtureUint1DOutput : MaxPool2DFixture
85 {
86  MaxPoolLiteFixtureUint1DOutput() : MaxPool2DFixture("[ 1, 2, 2, 1 ]", "[ 1, 1, 1, 1 ]", "UINT8") {}
87 };
88 
89 struct MaxPoolLiteFixtureFloat1DOutput : MaxPool2DFixture
90 {
91  MaxPoolLiteFixtureFloat1DOutput() : MaxPool2DFixture("[ 1, 2, 2, 1 ]", "[ 1, 1, 1, 1 ]", "FLOAT32") {}
92 };
93 
94 struct MaxPoolLiteFixtureUint2DOutput : MaxPool2DFixture
95 {
96  MaxPoolLiteFixtureUint2DOutput() : MaxPool2DFixture("[ 1, 4, 4, 1 ]", "[ 1, 2, 2, 1 ]", "UINT8") {}
97 };
98 
99 BOOST_FIXTURE_TEST_CASE(MaxPoolLiteUint1DOutput, MaxPoolLiteFixtureUint1DOutput)
100 {
101  RunTest<4, armnn::DataType::QAsymmU8>(0, { 2, 3, 5, 2 }, { 5 });
102 }
103 
104 BOOST_FIXTURE_TEST_CASE(MaxPoolLiteFloat1DOutput, MaxPoolLiteFixtureFloat1DOutput)
105 {
106  RunTest<4, armnn::DataType::Float32>(0, { 2.0f, 3.0f, 5.0f, 2.0f }, { 5.0f });
107 }
108 
109 BOOST_FIXTURE_TEST_CASE(MaxPoolLiteUint2DOutput, MaxPoolLiteFixtureUint2DOutput)
110 {
111  RunTest<4, armnn::DataType::QAsymmU8>(
112  0, { 1, 2, 2, 3, 5, 6, 7, 8, 3, 2, 1, 0, 1, 2, 3, 4 }, { 6, 8, 3, 4 });
113 }
114 
115 BOOST_FIXTURE_TEST_CASE(MaxPoolIncorrectDataTypeError, MaxPoolLiteFixtureFloat1DOutput)
116 {
117  BOOST_CHECK_THROW((RunTest<4, armnn::DataType::QAsymmU8>(0, { 2, 3, 5, 2 }, { 5 })), armnn::Exception);
118 }
119 
BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
+ + + +
BOOST_FIXTURE_TEST_CASE(MaxPoolLiteUint1DOutput, MaxPoolLiteFixtureUint1DOutput)
Definition: MaxPool2D.cpp:99
+ +
BOOST_AUTO_TEST_SUITE_END()
+
void SetupSingleInputSingleOutput(const std::string &inputName, const std::string &outputName)
+
Base class for all ArmNN exceptions so that users can filter to just those.
Definition: Exceptions.hpp:46
+
+
+ + + + -- cgit v1.2.1