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 --- ...er_2test_2_space_to_batch_n_d_8cpp_source.xhtml | 120 +++++++++++++++++++++ 1 file changed, 120 insertions(+) create mode 100644 20.02/armnn_tf_lite_parser_2test_2_space_to_batch_n_d_8cpp_source.xhtml (limited to '20.02/armnn_tf_lite_parser_2test_2_space_to_batch_n_d_8cpp_source.xhtml') diff --git a/20.02/armnn_tf_lite_parser_2test_2_space_to_batch_n_d_8cpp_source.xhtml b/20.02/armnn_tf_lite_parser_2test_2_space_to_batch_n_d_8cpp_source.xhtml new file mode 100644 index 0000000000..fd64d55102 --- /dev/null +++ b/20.02/armnn_tf_lite_parser_2test_2_space_to_batch_n_d_8cpp_source.xhtml @@ -0,0 +1,120 @@ + + + + + + + + + + + + + +ArmNN: src/armnnTfLiteParser/test/SpaceToBatchND.cpp Source File + + + + + + + + + + + + + + + + +
+
+ + + + ArmNN + + + +
+
+  20.02 +
+
+
+ + + + + + + +
+
+ +
+
+
+ +
+ +
+
+ + +
+ +
+ +
+
+
SpaceToBatchND.cpp
+
+
+Go to the documentation of this file.
1 //
2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include <boost/test/unit_test.hpp>
8 #include "../TfLiteParser.hpp"
9 
10 #include <string>
11 #include <iostream>
12 
13 BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
14 
15 struct SpaceToBatchNDFixture : public ParserFlatbuffersFixture
16 {
17  explicit SpaceToBatchNDFixture(const std::string & inputShape,
18  const std::string & outputShape,
19  const std::string & blockShapeData,
20  const std::string & padListData)
21  {
22  m_JsonString = R"(
23  {
24  "version": 3,
25  "operator_codes": [ { "builtin_code": "SPACE_TO_BATCH_ND" } ],
26  "subgraphs": [ {
27  "tensors": [
28  {
29  "shape": )" + inputShape + R"(,
30  "type": "FLOAT32",
31  "buffer": 0,
32  "name": "inputTensor",
33  "quantization": {
34  "min": [ 0.0 ],
35  "max": [ 255.0 ],
36  "scale": [ 1.0 ],
37  "zero_point": [ 0 ],
38  }
39  },
40  {
41  "shape": )" + outputShape + R"(,
42  "type": "FLOAT32",
43  "buffer": 1,
44  "name": "outputTensor",
45  "quantization": {
46  "min": [ 0.0 ],
47  "max": [ 255.0 ],
48  "scale": [ 1.0 ],
49  "zero_point": [ 0 ],
50  }
51  },
52  {
53  "shape": [ 2 ],
54  "type": "INT32",
55  "buffer": 2,
56  "name": "blockShapeTensor",
57  "quantization": {
58  "min": [ 0.0 ],
59  "max": [ 255.0 ],
60  "scale": [ 1.0 ],
61  "zero_point": [ 0 ],
62  }
63  },
64  {
65  "shape": [ 2, 2 ],
66  "type": "INT32",
67  "buffer": 3,
68  "name": "padListTensor",
69  "quantization": {
70  "min": [ 0.0 ],
71  "max": [ 255.0 ],
72  "scale": [ 1.0 ],
73  "zero_point": [ 0 ],
74  }
75  }
76  ],
77  "inputs": [ 0 ],
78  "outputs": [ 1 ],
79  "operators": [
80  {
81  "opcode_index": 0,
82  "inputs": [ 0, 2, 3 ],
83  "outputs": [ 1 ],
84  "custom_options_format": "FLEXBUFFERS"
85  }
86  ],
87  } ],
88  "buffers" : [
89  { },
90  { },
91  { "data": )" + blockShapeData + R"(, },
92  { "data": )" + padListData + R"(, },
93  ]
94  }
95  )";
96  Setup();
97  }
98 };
99 
100 struct SpaceToBatchNDFixtureSimpleTest : public SpaceToBatchNDFixture
101 {
102  SpaceToBatchNDFixtureSimpleTest() : SpaceToBatchNDFixture("[ 1, 4, 4, 1 ]",
103  "[ 4, 2, 2, 1 ]",
104  "[ 2,0,0,0, 2,0,0,0 ]",
105  "[ 0,0,0,0, 0,0,0,0, 0,0,0,0, 0,0,0,0 ]") {}
106 };
107 
108 BOOST_FIXTURE_TEST_CASE(SpaceToBatchNdSimpleTest, SpaceToBatchNDFixtureSimpleTest)
109 {
110  RunTest<4, armnn::DataType::Float32>
111  (0,
112  {{ "inputTensor", { 1.0f, 2.0f, 3.0f, 4.0f,
113  5.0f, 6.0f, 7.0f, 8.0f,
114  9.0f, 10.0f, 11.0f, 12.0f,
115  13.0f, 14.0f, 15.0f, 16.0f }}},
116  {{ "outputTensor", { 1.0f, 3.0f, 9.0f, 11.0f,
117  2.0f, 4.0f, 10.0f, 12.0f,
118  5.0f, 7.0f, 13.0f, 15.0f,
119  6.0f, 8.0f, 14.0f, 16.0f }}});
120 }
121 
122 
123 struct SpaceToBatchNDFixtureMultipleInputBatchesTest : public SpaceToBatchNDFixture
124 {
125  SpaceToBatchNDFixtureMultipleInputBatchesTest() : SpaceToBatchNDFixture("[ 2, 2, 4, 1 ]",
126  "[ 8, 1, 2, 1 ]",
127  "[ 2,0,0,0, 2,0,0,0 ]",
128  "[ 0,0,0,0, 0,0,0,0, 0,0,0,0, 0,0,0,0 ]") {}
129 };
130 
131 BOOST_FIXTURE_TEST_CASE(SpaceToBatchNdMultipleInputBatchesTest, SpaceToBatchNDFixtureMultipleInputBatchesTest)
132 {
133  RunTest<4, armnn::DataType::Float32>
134  (0,
135  {{ "inputTensor", { 1.0f, 2.0f, 3.0f, 4.0f,
136  5.0f, 6.0f, 7.0f, 8.0f,
137  9.0f, 10.0f, 11.0f, 12.0f,
138  13.0f, 14.0f, 15.0f, 16.0f }}},
139  {{ "outputTensor", { 1.0f, 3.0f, 9.0f, 11.0f,
140  2.0f, 4.0f, 10.0f, 12.0f,
141  5.0f, 7.0f, 13.0f, 15.0f,
142  6.0f, 8.0f, 14.0f, 16.0f }}});
143 }
144 
145 struct SpaceToBatchNDFixturePaddingTest : public SpaceToBatchNDFixture
146 {
147  SpaceToBatchNDFixturePaddingTest() : SpaceToBatchNDFixture("[ 1, 5, 2, 1 ]",
148  "[ 6, 2, 2, 1 ]",
149  "[ 3,0,0,0, 2,0,0,0 ]",
150  "[ 1,0,0,0, 0,0,0,0, 2,0,0,0, 0,0,0,0 ]") {}
151 };
152 
153 BOOST_FIXTURE_TEST_CASE(SpaceToBatchNdPaddingTest, SpaceToBatchNDFixturePaddingTest)
154 {
155  RunTest<4, armnn::DataType::Float32>
156  (0,
157  {{ "inputTensor", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f,
158  6.0f, 7.0f, 8.0f, 9.0f, 10.0f }}},
159  {{ "outputTensor", { 0.0f, 0.0f,
160  0.0f, 5.0f,
161 
162  0.0f, 0.0f,
163  0.0f, 6.0f,
164 
165  0.0f, 1.0f,
166  0.0f, 7.0f,
167 
168  0.0f, 2.0f,
169  0.0f, 8.0f,
170 
171  0.0f, 3.0f,
172  0.0f, 9.0f,
173 
174  0.0f, 4.0f,
175  0.0f, 10.0f, }}});
176 }
177 
BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
+ +
BOOST_FIXTURE_TEST_CASE(SpaceToBatchNdSimpleTest, SpaceToBatchNDFixtureSimpleTest)
+ + + +
BOOST_AUTO_TEST_SUITE_END()
+
+
+ + + + -- cgit v1.2.1