From d5d43d82c0137e08553e44345c609cdd1a7931c7 Mon Sep 17 00:00:00 2001 From: Nikhil Raj Date: Fri, 17 Jun 2022 13:24:58 +0100 Subject: Update Doxygen for 22.05 patch release * Pooling3D added to tfLite delegate * Available in tag 22.05.01 Signed-off-by: Nikhil Raj Change-Id: I8d605bba4e87d30baa2c6d7b338c78a4400dc021 --- ...ite_parser_2test_2_mirror_pad_8cpp_source.xhtml | 118 +++++++++++++++++++++ 1 file changed, 118 insertions(+) create mode 100644 22.05.01/armnn_tf_lite_parser_2test_2_mirror_pad_8cpp_source.xhtml (limited to '22.05.01/armnn_tf_lite_parser_2test_2_mirror_pad_8cpp_source.xhtml') diff --git a/22.05.01/armnn_tf_lite_parser_2test_2_mirror_pad_8cpp_source.xhtml b/22.05.01/armnn_tf_lite_parser_2test_2_mirror_pad_8cpp_source.xhtml new file mode 100644 index 0000000000..343543c97e --- /dev/null +++ b/22.05.01/armnn_tf_lite_parser_2test_2_mirror_pad_8cpp_source.xhtml @@ -0,0 +1,118 @@ + + + + + + + + + + + + + +ArmNN: src/armnnTfLiteParser/test/MirrorPad.cpp Source File + + + + + + + + + + + + + + + + +
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MirrorPad.cpp
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+Go to the documentation of this file.
1 //
2 // Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "ParserFlatbuffersFixture.hpp"
7 
8 TEST_SUITE("TensorflowLiteParser_MirrorPad")
9 {
10 struct MirrorPadFixture : public ParserFlatbuffersFixture
11 {
12  explicit MirrorPadFixture(const std::string& inputShape,
13  const std::string& outputShape,
14  const std::string& padListShape,
15  const std::string& padListData,
16  const std::string& padMode,
17  const std::string& dataType = "FLOAT32",
18  const std::string& scale = "1.0",
19  const std::string& offset = "0")
20  {
21  m_JsonString = R"(
22  {
23  "version": 3,
24  "operator_codes": [ { "builtin_code": "MIRROR_PAD" } ],
25  "subgraphs": [ {
26  "tensors": [
27  {
28  "shape": )" + inputShape + R"(,
29  "type": )" + dataType + R"(,
30  "buffer": 0,
31  "name": "inputTensor",
32  "quantization": {
33  "min": [ 0.0 ],
34  "max": [ 255.0 ],
35  "scale": [ )" + scale + R"( ],
36  "zero_point": [ )" + offset + R"( ],
37  }
38  },
39  {
40  "shape": )" + outputShape + R"(,
41  "type": )" + dataType + R"(,
42  "buffer": 1,
43  "name": "outputTensor",
44  "quantization": {
45  "min": [ 0.0 ],
46  "max": [ 255.0 ],
47  "scale": [ )" + scale + R"( ],
48  "zero_point": [ )" + offset + R"( ],
49  }
50  },
51  {
52  "shape": )" + padListShape + R"( ,
53  "type": "INT32",
54  "buffer": 2,
55  "name": "padList",
56  "quantization": {
57  "min": [ 0.0 ],
58  "max": [ 255.0 ],
59  "scale": [ 1.0 ],
60  "zero_point": [ 0 ],
61  }
62  }
63  ],
64  "inputs": [ 0 ],
65  "outputs": [ 1 ],
66  "operators": [
67  {
68  "opcode_index": 0,
69  "inputs": [ 0, 2 ],
70  "outputs": [ 1 ],
71  "builtin_options_type": "MirrorPadOptions",
72  "builtin_options": {
73  "mode": )" + padMode + R"( ,
74  },
75  "custom_options_format": "FLEXBUFFERS"
76  }
77  ],
78  } ],
79  "buffers" : [
80  { },
81  { },
82  { "data": )" + padListData + R"(, },
83  ]
84  }
85  )";
86  SetupSingleInputSingleOutput("inputTensor", "outputTensor");
87  }
88 };
89 
90 struct SimpleMirrorPadSymmetricFixture : public MirrorPadFixture
91 {
92  SimpleMirrorPadSymmetricFixture() : MirrorPadFixture("[ 3, 3 ]", "[ 7, 7 ]", "[ 2, 2 ]",
93  "[ 2,0,0,0, 2,0,0,0, 2,0,0,0, 2,0,0,0 ]",
94  "SYMMETRIC", "FLOAT32") {}
95 };
96 
97 TEST_CASE_FIXTURE(SimpleMirrorPadSymmetricFixture, "ParseMirrorPadSymmetric")
98 {
99  RunTest<2, armnn::DataType::Float32>
100  (0,
101  {{ "inputTensor", { 1.0f, 2.0f, 3.0f,
102  4.0f, 5.0f, 6.0f,
103  7.0f, 8.0f, 9.0f }}},
104 
105  {{ "outputTensor", { 5.0f, 4.0f, 4.0f, 5.0f, 6.0f, 6.0f, 5.0f,
106  2.0f, 1.0f, 1.0f, 2.0f, 3.0f, 3.0f, 2.0f,
107  2.0f, 1.0f, 1.0f, 2.0f, 3.0f, 3.0f, 2.0f,
108  5.0f, 4.0f, 4.0f, 5.0f, 6.0f, 6.0f, 5.0f,
109  8.0f, 7.0f, 7.0f, 8.0f, 9.0f, 9.0f, 8.0f,
110  8.0f, 7.0f, 7.0f, 8.0f, 9.0f, 9.0f, 8.0f,
111  5.0f, 4.0f, 4.0f, 5.0f, 6.0f, 6.0f, 5.0f }}});
112 }
113 
114 struct SimpleMirrorPadReflectFixture : public MirrorPadFixture
115 {
116  SimpleMirrorPadReflectFixture() : MirrorPadFixture("[ 3, 3 ]", "[ 7, 7 ]", "[ 2, 2 ]",
117  "[ 2,0,0,0, 2,0,0,0, 2,0,0,0, 2,0,0,0 ]",
118  "REFLECT", "FLOAT32") {}
119 };
120 
121 TEST_CASE_FIXTURE(SimpleMirrorPadReflectFixture, "ParseMirrorPadRelfect")
122 {
123  RunTest<2, armnn::DataType::Float32>
124  (0,
125  {{ "inputTensor", { 1.0f, 2.0f, 3.0f,
126  4.0f, 5.0f, 6.0f,
127  7.0f, 8.0f, 9.0f }}},
128 
129  {{ "outputTensor", { 9.0f, 8.0f, 7.0f, 8.0f, 9.0f, 8.0f, 7.0f,
130  6.0f, 5.0f, 4.0f, 5.0f, 6.0f, 5.0f, 4.0f,
131  3.0f, 2.0f, 1.0f, 2.0f, 3.0f, 2.0f, 1.0f,
132  6.0f, 5.0f, 4.0f, 5.0f, 6.0f, 5.0f, 4.0f,
133  9.0f, 8.0f, 7.0f, 8.0f, 9.0f, 8.0f, 7.0f,
134  6.0f, 5.0f, 4.0f, 5.0f, 6.0f, 5.0f, 4.0f,
135  3.0f, 2.0f, 1.0f, 2.0f, 3.0f, 2.0f, 1.0f }}});
136 }
137 
138 }
TEST_SUITE
TEST_SUITE("TensorflowLiteParser_MirrorPad")
Definition: MirrorPad.cpp:8
+ +
TEST_CASE_FIXTURE
TEST_CASE_FIXTURE(ClContextControlFixture, "CopyBetweenNeonAndGpu")
Definition: MemCopyTests.cpp:89
+
ParserFlatbuffersFixture.hpp
+
ParserFlatbuffersFixture::SetupSingleInputSingleOutput
void SetupSingleInputSingleOutput(const std::string &inputName, const std::string &outputName)
Definition: ParserFlatbuffersFixture.hpp:152
+
+
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