ArmNN
 22.05
ArgMinMax.cpp
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1 //
2 // Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
7 
8 
9 TEST_SUITE("TensorflowLiteParser_ArgMinMax")
10 {
11 struct ArgMinMaxFixture : public ParserFlatbuffersFixture
12 {
13  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 {
86  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 {
102  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 {
124  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 {
140  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 }
TEST_CASE_FIXTURE(ClContextControlFixture, "CopyBetweenNeonAndGpu")
TEST_SUITE("TensorflowLiteParser_ArgMinMax")
Definition: ArgMinMax.cpp:9
void SetupSingleInputSingleOutput(const std::string &inputName, const std::string &outputName)