1 // clang-format off
2 // Generated file (from: argmin_3.mod.py). Do not edit
CreateModel(Model * model)3 void CreateModel(Model *model) {
4 OperandType type0(Type::TENSOR_FLOAT32, {2, 2});
5 OperandType type1(Type::INT32, {});
6 OperandType type2(Type::TENSOR_INT32, {2});
7 // Phase 1, operands
8 auto input0 = model->addOperand(&type0);
9 auto axis = model->addOperand(&type1);
10 auto output = model->addOperand(&type2);
11 // Phase 2, operations
12 static int32_t axis_init[] = {-1};
13 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
14 model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
15 // Phase 3, inputs and outputs
16 model->identifyInputsAndOutputs(
17 {input0},
18 {output});
19 assert(model->isValid());
20 }
21
is_ignored(int i)22 inline bool is_ignored(int i) {
23 static std::set<int> ignore = {};
24 return ignore.find(i) != ignore.end();
25 }
26
CreateModel_relaxed(Model * model)27 void CreateModel_relaxed(Model *model) {
28 OperandType type0(Type::TENSOR_FLOAT32, {2, 2});
29 OperandType type1(Type::INT32, {});
30 OperandType type2(Type::TENSOR_INT32, {2});
31 // Phase 1, operands
32 auto input0 = model->addOperand(&type0);
33 auto axis = model->addOperand(&type1);
34 auto output = model->addOperand(&type2);
35 // Phase 2, operations
36 static int32_t axis_init[] = {-1};
37 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
38 model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
39 // Phase 3, inputs and outputs
40 model->identifyInputsAndOutputs(
41 {input0},
42 {output});
43 // Phase 4: set relaxed execution
44 model->relaxComputationFloat32toFloat16(true);
45 assert(model->isValid());
46 }
47
is_ignored_relaxed(int i)48 inline bool is_ignored_relaxed(int i) {
49 static std::set<int> ignore = {};
50 return ignore.find(i) != ignore.end();
51 }
52
CreateModel_float16(Model * model)53 void CreateModel_float16(Model *model) {
54 OperandType type1(Type::INT32, {});
55 OperandType type2(Type::TENSOR_INT32, {2});
56 OperandType type3(Type::TENSOR_FLOAT16, {2, 2});
57 // Phase 1, operands
58 auto input0 = model->addOperand(&type3);
59 auto axis = model->addOperand(&type1);
60 auto output = model->addOperand(&type2);
61 // Phase 2, operations
62 static int32_t axis_init[] = {-1};
63 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
64 model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
65 // Phase 3, inputs and outputs
66 model->identifyInputsAndOutputs(
67 {input0},
68 {output});
69 assert(model->isValid());
70 }
71
is_ignored_float16(int i)72 inline bool is_ignored_float16(int i) {
73 static std::set<int> ignore = {};
74 return ignore.find(i) != ignore.end();
75 }
76
CreateModel_int32(Model * model)77 void CreateModel_int32(Model *model) {
78 OperandType type1(Type::INT32, {});
79 OperandType type2(Type::TENSOR_INT32, {2});
80 OperandType type4(Type::TENSOR_INT32, {2, 2});
81 // Phase 1, operands
82 auto input0 = model->addOperand(&type4);
83 auto axis = model->addOperand(&type1);
84 auto output = model->addOperand(&type2);
85 // Phase 2, operations
86 static int32_t axis_init[] = {-1};
87 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
88 model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
89 // Phase 3, inputs and outputs
90 model->identifyInputsAndOutputs(
91 {input0},
92 {output});
93 assert(model->isValid());
94 }
95
is_ignored_int32(int i)96 inline bool is_ignored_int32(int i) {
97 static std::set<int> ignore = {};
98 return ignore.find(i) != ignore.end();
99 }
100
CreateModel_quant8(Model * model)101 void CreateModel_quant8(Model *model) {
102 OperandType type1(Type::INT32, {});
103 OperandType type2(Type::TENSOR_INT32, {2});
104 OperandType type5(Type::TENSOR_QUANT8_ASYMM, {2, 2}, 1.0f, 0);
105 // Phase 1, operands
106 auto input0 = model->addOperand(&type5);
107 auto axis = model->addOperand(&type1);
108 auto output = model->addOperand(&type2);
109 // Phase 2, operations
110 static int32_t axis_init[] = {-1};
111 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
112 model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
113 // Phase 3, inputs and outputs
114 model->identifyInputsAndOutputs(
115 {input0},
116 {output});
117 assert(model->isValid());
118 }
119
is_ignored_quant8(int i)120 inline bool is_ignored_quant8(int i) {
121 static std::set<int> ignore = {};
122 return ignore.find(i) != ignore.end();
123 }
124
CreateModel_dynamic_output_shape(Model * model)125 void CreateModel_dynamic_output_shape(Model *model) {
126 OperandType type0(Type::TENSOR_FLOAT32, {2, 2});
127 OperandType type1(Type::INT32, {});
128 OperandType type6(Type::TENSOR_INT32, {0});
129 // Phase 1, operands
130 auto input0 = model->addOperand(&type0);
131 auto axis = model->addOperand(&type1);
132 auto output = model->addOperand(&type6);
133 // Phase 2, operations
134 static int32_t axis_init[] = {-1};
135 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
136 model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
137 // Phase 3, inputs and outputs
138 model->identifyInputsAndOutputs(
139 {input0},
140 {output});
141 assert(model->isValid());
142 }
143
is_ignored_dynamic_output_shape(int i)144 inline bool is_ignored_dynamic_output_shape(int i) {
145 static std::set<int> ignore = {};
146 return ignore.find(i) != ignore.end();
147 }
148
CreateModel_dynamic_output_shape_relaxed(Model * model)149 void CreateModel_dynamic_output_shape_relaxed(Model *model) {
150 OperandType type0(Type::TENSOR_FLOAT32, {2, 2});
151 OperandType type1(Type::INT32, {});
152 OperandType type6(Type::TENSOR_INT32, {0});
153 // Phase 1, operands
154 auto input0 = model->addOperand(&type0);
155 auto axis = model->addOperand(&type1);
156 auto output = model->addOperand(&type6);
157 // Phase 2, operations
158 static int32_t axis_init[] = {-1};
159 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
160 model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
161 // Phase 3, inputs and outputs
162 model->identifyInputsAndOutputs(
163 {input0},
164 {output});
165 // Phase 4: set relaxed execution
166 model->relaxComputationFloat32toFloat16(true);
167 assert(model->isValid());
168 }
169
is_ignored_dynamic_output_shape_relaxed(int i)170 inline bool is_ignored_dynamic_output_shape_relaxed(int i) {
171 static std::set<int> ignore = {};
172 return ignore.find(i) != ignore.end();
173 }
174
CreateModel_dynamic_output_shape_float16(Model * model)175 void CreateModel_dynamic_output_shape_float16(Model *model) {
176 OperandType type1(Type::INT32, {});
177 OperandType type3(Type::TENSOR_FLOAT16, {2, 2});
178 OperandType type6(Type::TENSOR_INT32, {0});
179 // Phase 1, operands
180 auto input0 = model->addOperand(&type3);
181 auto axis = model->addOperand(&type1);
182 auto output = model->addOperand(&type6);
183 // Phase 2, operations
184 static int32_t axis_init[] = {-1};
185 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
186 model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
187 // Phase 3, inputs and outputs
188 model->identifyInputsAndOutputs(
189 {input0},
190 {output});
191 assert(model->isValid());
192 }
193
is_ignored_dynamic_output_shape_float16(int i)194 inline bool is_ignored_dynamic_output_shape_float16(int i) {
195 static std::set<int> ignore = {};
196 return ignore.find(i) != ignore.end();
197 }
198
CreateModel_dynamic_output_shape_int32(Model * model)199 void CreateModel_dynamic_output_shape_int32(Model *model) {
200 OperandType type1(Type::INT32, {});
201 OperandType type4(Type::TENSOR_INT32, {2, 2});
202 OperandType type6(Type::TENSOR_INT32, {0});
203 // Phase 1, operands
204 auto input0 = model->addOperand(&type4);
205 auto axis = model->addOperand(&type1);
206 auto output = model->addOperand(&type6);
207 // Phase 2, operations
208 static int32_t axis_init[] = {-1};
209 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
210 model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
211 // Phase 3, inputs and outputs
212 model->identifyInputsAndOutputs(
213 {input0},
214 {output});
215 assert(model->isValid());
216 }
217
is_ignored_dynamic_output_shape_int32(int i)218 inline bool is_ignored_dynamic_output_shape_int32(int i) {
219 static std::set<int> ignore = {};
220 return ignore.find(i) != ignore.end();
221 }
222
CreateModel_dynamic_output_shape_quant8(Model * model)223 void CreateModel_dynamic_output_shape_quant8(Model *model) {
224 OperandType type1(Type::INT32, {});
225 OperandType type5(Type::TENSOR_QUANT8_ASYMM, {2, 2}, 1.0f, 0);
226 OperandType type6(Type::TENSOR_INT32, {0});
227 // Phase 1, operands
228 auto input0 = model->addOperand(&type5);
229 auto axis = model->addOperand(&type1);
230 auto output = model->addOperand(&type6);
231 // Phase 2, operations
232 static int32_t axis_init[] = {-1};
233 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
234 model->addOperation(ANEURALNETWORKS_ARGMIN, {input0, axis}, {output});
235 // Phase 3, inputs and outputs
236 model->identifyInputsAndOutputs(
237 {input0},
238 {output});
239 assert(model->isValid());
240 }
241
is_ignored_dynamic_output_shape_quant8(int i)242 inline bool is_ignored_dynamic_output_shape_quant8(int i) {
243 static std::set<int> ignore = {};
244 return ignore.find(i) != ignore.end();
245 }
246
247