xref: /aosp_15_r20/external/armnn/src/armnnTfLiteParser/test/ArgMinMax.cpp (revision 89c4ff92f2867872bb9e2354d150bf0c8c502810)
1 //
2 // Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "ParserFlatbuffersFixture.hpp"
7 
8 
9 TEST_SUITE("TensorflowLiteParser_ArgMinMax")
10 {
11 struct ArgMinMaxFixture : public ParserFlatbuffersFixture
12 {
ArgMinMaxFixtureArgMinMaxFixture13     explicit ArgMinMaxFixture(const std::string& operatorCode,
14                               const std::string& inputShape,
15                               const std::string& outputShape,
16                               const std::string& axisData)
17     {
18         m_JsonString = R"(
19             {
20                 "version": 3,
21                 "operator_codes": [ { "builtin_code": )" + operatorCode + R"( } ],
22                 "subgraphs": [ {
23                     "tensors": [
24                         {
25                             "shape": )" + inputShape + R"(,
26                             "type": "FLOAT32",
27                             "buffer": 0,
28                             "name": "inputTensor",
29                             "quantization": {
30                                 "min": [ 0.0 ],
31                                 "max": [ 255.0 ],
32                                 "scale": [ 1.0 ],
33                                 "zero_point": [ 0 ],
34                             }
35                         },
36                         {
37                             "shape": )" + outputShape + R"( ,
38                             "type": "INT32",
39                             "buffer": 1,
40                             "name": "outputTensor",
41                             "quantization": {
42                                 "min": [ 0.0 ],
43                                 "max": [ 255.0 ],
44                                 "scale": [ 1.0 ],
45                                 "zero_point": [ 0 ],
46                             }
47                         },
48                         {
49                             "shape": [ 1 ],
50                             "type": "INT32",
51                             "buffer": 2,
52                             "name": "axis",
53                             "quantization": {
54                                 "min": [ 0.0 ],
55                                 "max": [ 255.0 ],
56                                 "scale": [ 1.0 ],
57                                 "zero_point": [ 0 ],
58                             }
59                         },
60                     ],
61                     "inputs": [ 0 ],
62                     "outputs": [ 1 ],
63                     "operators": [
64                         {
65                             "opcode_index": 0,
66                             "inputs": [ 0 , 2 ],
67                             "outputs": [ 1 ],
68                             "custom_options_format": "FLEXBUFFERS"
69                         }
70                     ],
71                 } ],
72                 "buffers" : [
73                     { },
74                     { },
75                     { "data": )" + axisData + R"(, },
76                 ]
77             }
78         )";
79 
80         SetupSingleInputSingleOutput("inputTensor", "outputTensor");
81     }
82 };
83 
84 struct SimpleArgMaxFixture : public ArgMinMaxFixture
85 {
SimpleArgMaxFixtureSimpleArgMaxFixture86     SimpleArgMaxFixture() : ArgMinMaxFixture("ARG_MAX",
87                                              "[ 1, 1, 1, 5 ]",
88                                              "[ 1, 1, 1 ]",
89                                              "[ 3, 0, 0, 0 ]") {}
90 };
91 
92 TEST_CASE_FIXTURE(SimpleArgMaxFixture, "ParseSimpleArgMax")
93 {
94     RunTest<3, armnn::DataType::Float32, armnn::DataType::Signed32>(
95             0,
96             {{ "inputTensor",  { 6.0f, 2.0f, 8.0f, 10.0f, 9.0f } } },
97             {{ "outputTensor", { 3l } } });
98 }
99 
100 struct ArgMaxFixture : public ArgMinMaxFixture
101 {
ArgMaxFixtureArgMaxFixture102     ArgMaxFixture() : ArgMinMaxFixture("ARG_MAX",
103                                        "[ 3, 2, 1, 4 ]",
104                                        "[ 2, 1, 4 ]",
105                                        "[ 0, 0, 0, 0 ]") {}
106 };
107 
108 TEST_CASE_FIXTURE(ArgMaxFixture, "ParseArgMax")
109 {
110     RunTest<3, armnn::DataType::Float32, armnn::DataType::Signed32>(
111             0,
112             {{ "inputTensor", { 1.0f,   2.0f,   3.0f,   4.0f,
113                                 8.0f,   7.0f,   6.0f,   6.0f,
114                                 100.0f, 20.0f,  300.0f, 40.0f,
115                                 500.0f, 476.0f, 450.0f, 426.0f,
116                                 50.0f,  60.0f,  70.0f,  80.0f,
117                                 10.0f,  200.0f, 30.0f,  400.0f } } },
118             {{ "outputTensor", { 1, 2, 1, 2,
119                                  1, 1, 1, 1 } } });
120 }
121 
122 struct SimpleArgMinFixture : public ArgMinMaxFixture
123 {
SimpleArgMinFixtureSimpleArgMinFixture124     SimpleArgMinFixture() : ArgMinMaxFixture("ARG_MIN",
125                                              "[ 1, 1, 1, 5 ]",
126                                              "[ 1, 1, 1 ]",
127                                              "[ 3, 0, 0, 0 ]") {}
128 };
129 
130 TEST_CASE_FIXTURE(SimpleArgMinFixture, "ParseSimpleArgMin")
131 {
132     RunTest<3, armnn::DataType::Float32, armnn::DataType::Signed32>(
133             0,
134             {{ "inputTensor",  { 6.0f, 2.0f, 8.0f, 10.0f, 9.0f } } },
135             {{ "outputTensor", { 1l } } });
136 }
137 
138 struct ArgMinFixture : public ArgMinMaxFixture
139 {
ArgMinFixtureArgMinFixture140     ArgMinFixture() : ArgMinMaxFixture("ARG_MIN",
141                                        "[ 3, 2, 1, 4 ]",
142                                        "[ 2, 1, 4 ]",
143                                        "[ 0, 0, 0, 0 ]") {}
144 };
145 
146 TEST_CASE_FIXTURE(ArgMinFixture, "ParseArgMin")
147 {
148     RunTest<3, armnn::DataType::Float32, armnn::DataType::Signed32>(
149             0,
150             {{ "inputTensor", { 1.0f,   2.0f,   3.0f,   4.0f,
151                                 8.0f,   7.0f,   6.0f,   6.0f,
152                                 100.0f, 20.0f,  300.0f, 40.0f,
153                                 500.0f, 476.0f, 450.0f, 426.0f,
154                                 50.0f,  60.0f,  70.0f,  80.0f,
155                                 10.0f,  200.0f, 30.0f,  400.0f } } },
156             {{ "outputTensor", { 0, 0, 0, 0,
157                                  0, 0, 0, 0 } } });
158 }
159 
160 }
161