IVGCVSW-2467 Remove GetDataType<T> function
[platform/upstream/armnn.git] / src / armnnTfLiteParser / test / Multiplication.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 MultiplicationFixture : public ParserFlatbuffersFixture
16 {
17     explicit MultiplicationFixture(const std::string & inputShape1,
18                                             const std::string & inputShape2,
19                                             const std::string & outputShape,
20                                             const std::string & activation="NONE")
21     {
22         m_JsonString = R"(
23             {
24                 "version": 3,
25                 "operator_codes": [ { "builtin_code": "MUL" } ],
26                 "subgraphs": [ {
27                     "tensors": [
28                         {
29                             "shape": )" + inputShape1 + R"(,
30                             "type": "FLOAT32",
31                             "buffer": 0,
32                             "name": "inputTensor1",
33                             "quantization": {
34                                 "min": [ 0.0 ],
35                                 "max": [ 255.0 ],
36                                 "scale": [ 1.0 ],
37                                 "zero_point": [ 0 ],
38                             }
39                         },
40                         {
41                             "shape": )" + inputShape2 + R"(,
42                             "type": "FLOAT32",
43                             "buffer": 1,
44                             "name": "inputTensor2",
45                             "quantization": {
46                                 "min": [ 0.0 ],
47                                 "max": [ 255.0 ],
48                                 "scale": [ 1.0 ],
49                                 "zero_point": [ 0 ],
50                             }
51                         },
52                         {
53                             "shape": )" + outputShape + R"( ,
54                             "type": "FLOAT32",
55                             "buffer": 2,
56                             "name": "outputTensor",
57                             "quantization": {
58                                 "min": [ 0.0 ],
59                                 "max": [ 255.0 ],
60                                 "scale": [ 1.0 ],
61                                 "zero_point": [ 0 ],
62                             }
63                         }
64                     ],
65                     "inputs": [ 0, 1 ],
66                     "outputs": [ 2 ],
67                     "operators": [
68                         {
69                             "opcode_index": 0,
70                             "inputs": [ 0, 1 ],
71                             "outputs": [ 2 ],
72                             "builtin_options_type": "MulOptions",
73                             "builtin_options": {
74                                 "fused_activation_function": )" + activation + R"(
75                             },
76                             "custom_options_format": "FLEXBUFFERS"
77                         }
78                     ],
79                 } ],
80                 "buffers" : [
81                     { },
82                     { }
83                 ]
84             }
85         )";
86         Setup();
87     }
88 };
89
90 struct SimpleMultiplicationFixture : public MultiplicationFixture
91 {
92     SimpleMultiplicationFixture() : MultiplicationFixture("[ 1, 2, 2, 3 ]", "[ 1, 2, 2, 3 ]", "[ 1, 2, 2, 3 ]") {}
93 };
94
95 BOOST_FIXTURE_TEST_CASE(ParseMultiplication, SimpleMultiplicationFixture)
96 {
97     RunTest<4, armnn::DataType::Float32>(0, {{ "inputTensor1", { 0.0f,  1.0f,  2.0f,
98                                                                  3.0f,  4.0f,  5.0f,
99                                                                  6.0f,  7.0f,  8.0f,
100                                                                  9.0f, 10.0f, 11.0f } },
101                                              { "inputTensor2", { 1.0f,  1.0f,  1.0f,
102                                                                  5.0f,  5.0f,  5.0f,
103                                                                  1.0f,  1.0f,  1.0f,
104                                                                  5.0f,  5.0f,  5.0f} } },
105                                              {{ "outputTensor", { 0.0f,  1.0f,  2.0f,
106                                                                  15.0f, 20.0f, 25.0f,
107                                                                   6.0f,  7.0f,  8.0f,
108                                                                  45.0f, 50.0f, 55.0f } } });
109 }
110
111 BOOST_AUTO_TEST_SUITE_END()