IVGCVSW-2467 Remove GetDataType<T> function
[platform/upstream/armnn.git] / src / armnnTfLiteParser / test / Mean.cpp
1 //
2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5
6 #include <boost/test/unit_test.hpp>
7 #include "ParserFlatbuffersFixture.hpp"
8 #include "../TfLiteParser.hpp"
9
10 #include <string>
11 #include <iostream>
12
13 BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
14
15 struct MeanNoReduceFixture : public ParserFlatbuffersFixture
16 {
17     explicit MeanNoReduceFixture(const std::string & inputShape,
18                                  const std::string & outputShape,
19                                  const std::string & dimShape,
20                                  const std::string & dimData)
21     {
22         m_JsonString = R"(
23             {
24                 "version": 3,
25                 "operator_codes": [ { "builtin_code": "MEAN" } ],
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": )" + dimShape + R"( ,
54                             "type": "INT32",
55                             "buffer": 2,
56                             "name": "dimShape",
57                             "quantization": {
58                                 "min": [ 0.0 ],
59                                 "max": [ 255.0 ],
60                                 "scale": [ 1.0 ],
61                                 "zero_point": [ 0 ],
62                             }
63                         }
64                     ],
65                     "inputs": [ 0 ],
66                     "outputs": [ 1 ],
67                     "operators": [
68                         {
69                             "opcode_index": 0,
70                             "inputs": [ 0 , 2 ],
71                             "outputs": [ 1 ],
72                             "custom_options_format": "FLEXBUFFERS"
73                         }
74                     ],
75                 } ],
76                 "buffers" : [
77                     { },
78                     { },
79                     { "data": )" + dimData + R"(, },
80                 ]
81             }
82         )";
83         SetupSingleInputSingleOutput("inputTensor", "outputTensor");
84     }
85 };
86
87 struct SimpleMeanNoReduceFixture : public MeanNoReduceFixture
88 {
89     SimpleMeanNoReduceFixture() : MeanNoReduceFixture("[ 2, 2 ]", "[ 1, 1 ]", "[ 0 ]", "[ ]") {}
90 };
91
92 BOOST_FIXTURE_TEST_CASE(ParseMeanNoReduce, SimpleMeanNoReduceFixture)
93 {
94     RunTest<2, armnn::DataType::Float32>(0, {{ "inputTensor", { 1.0f, 1.0f, 2.0f, 2.0f } } },
95                                             {{ "outputTensor", { 1.5f } } });
96 }
97
98 BOOST_AUTO_TEST_SUITE_END()