xref: /aosp_15_r20/external/armnn/src/armnnTfLiteParser/test/PadV2.cpp (revision 89c4ff92f2867872bb9e2354d150bf0c8c502810)
1 //
2 // Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "ParserFlatbuffersFixture.hpp"
7 
8 
9 TEST_SUITE("TensorflowLiteParser_Pad")
10 {
11 struct PadV2Fixture : public ParserFlatbuffersFixture
12 {
PadV2FixturePadV2Fixture13     explicit PadV2Fixture(const std::string& inputShape,
14                           const std::string& outputShape,
15                           const std::string& padListShape,
16                           const std::string& padListData,
17                           const std::string& constantValuesShape,
18                           const std::string& constantValuesData,
19                           const std::string& dataType = "FLOAT32",
20                           const std::string& scale = "1.0",
21                           const std::string& offset = "0")
22     {
23         m_JsonString = R"(
24             {
25                 "version": 3,
26                 "operator_codes": [ { "builtin_code": "PADV2" } ],
27                 "subgraphs": [ {
28                     "tensors": [
29                         {
30                             "shape": )" + inputShape + R"(,
31                             "type": )" + dataType + R"(,
32                             "buffer": 0,
33                             "name": "inputTensor",
34                             "quantization": {
35                                 "min": [ 0.0 ],
36                                 "max": [ 255.0 ],
37                                 "scale": [ )" + scale + R"( ],
38                                 "zero_point": [ )" + offset + R"( ],
39                             }
40                         },
41                         {
42                              "shape": )" + outputShape + R"(,
43                              "type": )" + dataType + R"(,
44                              "buffer": 1,
45                              "name": "outputTensor",
46                              "quantization": {
47                                 "min": [ 0.0 ],
48                                 "max": [ 255.0 ],
49                                 "scale": [ )" + scale + R"( ],
50                                 "zero_point": [ )" + offset + R"( ],
51                             }
52                         },
53                         {
54                              "shape": )" + padListShape + R"( ,
55                              "type": "INT64",
56                              "buffer": 2,
57                              "name": "padList",
58                              "quantization": {
59                                 "min": [ 0.0 ],
60                                 "max": [ 255.0 ],
61                                 "scale": [ 1.0 ],
62                                 "zero_point": [ 0 ],
63                              }
64                         },
65                         {
66                              "shape": )" + constantValuesShape + R"( ,
67                              "type": )" + dataType + R"(,
68                              "buffer": 3,
69                              "name": "constantValues",
70                              "quantization": {
71                                 "min": [ 0.0 ],
72                                 "max": [ 255.0 ],
73                                 "scale": [ 1.0 ],
74                                 "zero_point": [ 0 ],
75                              }
76                         }
77                     ],
78                     "inputs": [ 0 ],
79                     "outputs": [ 1 ],
80                     "operators": [
81                         {
82                             "opcode_index": 0,
83                             "inputs": [ 0, 2, 3 ],
84                             "outputs": [ 1 ],
85                             "custom_options_format": "FLEXBUFFERS"
86                         }
87                     ],
88                 } ],
89                 "buffers" : [
90                     { },
91                     { },
92                     { "data": )" + padListData + R"(, },
93                     { "data": )" + constantValuesData + R"(, },
94                 ]
95             }
96         )";
97       SetupSingleInputSingleOutput("inputTensor", "outputTensor");
98     }
99 };
100 
101 struct SimplePadV2Fixture : public PadV2Fixture
102 {
SimplePadV2FixtureSimplePadV2Fixture103     SimplePadV2Fixture() : PadV2Fixture("[ 2,3 ]", "[ 4,7 ]", "[ 2,2 ]",
104                                         "[ 1,0,0,0,0,0,0,0, 1,0,0,0,0,0,0,0, 2,0,0,0,0,0,0,0, 2,0,0,0,0,0,0,0 ]",
105                                         "[1]", "[0,0,160,64]") {}
106 };
107 
108 TEST_CASE_FIXTURE(SimplePadV2Fixture, "ParsePadV2")
109 {
110     RunTest<2, armnn::DataType::Float32>
111         (0,
112          {{ "inputTensor",  { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f }}},
113          {{ "outputTensor", { 5.0f, 5.0f, 5.0f, 5.0f, 5.0f, 5.0f, 5.0f,
114                               5.0f, 5.0f, 1.0f, 2.0f, 3.0f, 5.0f, 5.0f,
115                               5.0f, 5.0f, 4.0f, 5.0f, 6.0f, 5.0f, 5.0f,
116                               5.0f, 5.0f, 5.0f, 5.0f, 5.0f, 5.0f, 5.0f }}});
117 }
118 
119 struct NoConstValuePadV2Fixture : public PadV2Fixture
120 {
NoConstValuePadV2FixtureNoConstValuePadV2Fixture121     NoConstValuePadV2Fixture() : PadV2Fixture("[ 2,3 ]", "[ 4,7 ]", "[ 2,2 ]",
122                                               "[ 1,0,0,0,0,0,0,0, 1,0,0,0,0,0,0,0, 2,0,0,0,0,0,0,0, 2,0,0,0,0,0,0,0 ]",
123                                               "[]", "[]") {}
124 };
125 
126 TEST_CASE_FIXTURE(NoConstValuePadV2Fixture, "ParsePadV2NoConstValue")
127 {
128     RunTest<2, armnn::DataType::Float32>
129             (0,
130              {{ "inputTensor",  { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f }}},
131              {{ "outputTensor", { 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, .0f,
132                                   0.0f, 0.0f, 1.0f, 2.0f, 3.0f, 0.0f, 0.0f,
133                                   0.0f, 0.0f, 4.0f, 5.0f, 6.0f, 0.0f, 0.0f,
134                                   0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f }}});
135 }
136 
137 struct Uint8PadV2Fixture : public PadV2Fixture
138 {
Uint8PadV2FixtureUint8PadV2Fixture139     Uint8PadV2Fixture() : PadV2Fixture("[ 2,3 ]", "[ 4,7 ]", "[ 2,2 ]",
140                                        "[ 1,0,0,0,0,0,0,0, 1,0,0,0,0,0,0,0, 2,0,0,0,0,0,0,0, 2,0,0,0,0,0,0,0 ]",
141                                        "[1]", "[1]","UINT8", "-2.0", "3") {}
142 };
143 
144 TEST_CASE_FIXTURE(Uint8PadV2Fixture, "ParsePadV2Uint8")
145 {
146     RunTest<2, armnn::DataType::QAsymmU8>
147         (0,
148          {{ "inputTensor",  { 1, 2, 3, 4, 5, 6 }}},
149          {{ "outputTensor", { 1, 1, 1, 1, 1, 1, 1,
150                               1, 1, 1, 2, 3, 1, 1,
151                               1, 1, 4, 5, 6, 1, 1,
152                               1, 1, 1, 1, 1, 1, 1 }}});
153 }
154 
155 struct Int8PadV2Fixture : public PadV2Fixture
156 {
Int8PadV2FixtureInt8PadV2Fixture157     Int8PadV2Fixture() : PadV2Fixture("[ 2,3 ]", "[ 4,7 ]", "[ 2,2 ]",
158                                       "[ 1,0,0,0,0,0,0,0, 1,0,0,0,0,0,0,0, 2,0,0,0,0,0,0,0, 2,0,0,0,0,0,0,0 ]",
159                                       "[1]", "[2]","INT8", "-2.0", "3") {}
160 };
161 
162 TEST_CASE_FIXTURE(Int8PadV2Fixture, "ParsePadV2Int8")
163 {
164     RunTest<2, armnn::DataType::QAsymmS8>
165         (0,
166          {{ "inputTensor",  { 1, -2, 3, 4, 5, -6 }}},
167          {{ "outputTensor", { 2, 2, 2, 2, 2, 2, 2,
168                               2, 2, 1, -2, 3, 2, 2,
169                               2, 2, 4, 5, -6, 2, 2,
170                               2, 2, 2, 2, 2, 2, 2 }}});
171 }
172 
173 }
174