1 // clang-format off
2 // Generated file (from: split_float_3.mod.py). Do not edit
CreateModel(Model * model)3 void CreateModel(Model *model) {
4 OperandType type0(Type::TENSOR_FLOAT32, {2, 3});
5 OperandType type1(Type::INT32, {});
6 OperandType type2(Type::TENSOR_FLOAT32, {2, 1});
7 // Phase 1, operands
8 auto input0 = model->addOperand(&type0);
9 auto axis = model->addOperand(&type1);
10 auto num_splits = model->addOperand(&type1);
11 auto output0 = model->addOperand(&type2);
12 auto output1 = model->addOperand(&type2);
13 auto output2 = model->addOperand(&type2);
14 // Phase 2, operations
15 static int32_t axis_init[] = {1};
16 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
17 static int32_t num_splits_init[] = {3};
18 model->setOperandValue(num_splits, num_splits_init, sizeof(int32_t) * 1);
19 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2});
20 // Phase 3, inputs and outputs
21 model->identifyInputsAndOutputs(
22 {input0},
23 {output0, output1, output2});
24 assert(model->isValid());
25 }
26
is_ignored(int i)27 inline bool is_ignored(int i) {
28 static std::set<int> ignore = {};
29 return ignore.find(i) != ignore.end();
30 }
31
CreateModel_relaxed(Model * model)32 void CreateModel_relaxed(Model *model) {
33 OperandType type0(Type::TENSOR_FLOAT32, {2, 3});
34 OperandType type1(Type::INT32, {});
35 OperandType type2(Type::TENSOR_FLOAT32, {2, 1});
36 // Phase 1, operands
37 auto input0 = model->addOperand(&type0);
38 auto axis = model->addOperand(&type1);
39 auto num_splits = model->addOperand(&type1);
40 auto output0 = model->addOperand(&type2);
41 auto output1 = model->addOperand(&type2);
42 auto output2 = model->addOperand(&type2);
43 // Phase 2, operations
44 static int32_t axis_init[] = {1};
45 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
46 static int32_t num_splits_init[] = {3};
47 model->setOperandValue(num_splits, num_splits_init, sizeof(int32_t) * 1);
48 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2});
49 // Phase 3, inputs and outputs
50 model->identifyInputsAndOutputs(
51 {input0},
52 {output0, output1, output2});
53 // Phase 4: set relaxed execution
54 model->relaxComputationFloat32toFloat16(true);
55 assert(model->isValid());
56 }
57
is_ignored_relaxed(int i)58 inline bool is_ignored_relaxed(int i) {
59 static std::set<int> ignore = {};
60 return ignore.find(i) != ignore.end();
61 }
62
CreateModel_float16(Model * model)63 void CreateModel_float16(Model *model) {
64 OperandType type1(Type::INT32, {});
65 OperandType type3(Type::TENSOR_FLOAT16, {2, 3});
66 OperandType type4(Type::TENSOR_FLOAT16, {2, 1});
67 // Phase 1, operands
68 auto input0 = model->addOperand(&type3);
69 auto axis = model->addOperand(&type1);
70 auto num_splits = model->addOperand(&type1);
71 auto output0 = model->addOperand(&type4);
72 auto output1 = model->addOperand(&type4);
73 auto output2 = model->addOperand(&type4);
74 // Phase 2, operations
75 static int32_t axis_init[] = {1};
76 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
77 static int32_t num_splits_init[] = {3};
78 model->setOperandValue(num_splits, num_splits_init, sizeof(int32_t) * 1);
79 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2});
80 // Phase 3, inputs and outputs
81 model->identifyInputsAndOutputs(
82 {input0},
83 {output0, output1, output2});
84 assert(model->isValid());
85 }
86
is_ignored_float16(int i)87 inline bool is_ignored_float16(int i) {
88 static std::set<int> ignore = {};
89 return ignore.find(i) != ignore.end();
90 }
91
CreateModel_dynamic_output_shape(Model * model)92 void CreateModel_dynamic_output_shape(Model *model) {
93 OperandType type0(Type::TENSOR_FLOAT32, {2, 3});
94 OperandType type1(Type::INT32, {});
95 OperandType type5(Type::TENSOR_FLOAT32, {0, 0});
96 // Phase 1, operands
97 auto input0 = model->addOperand(&type0);
98 auto axis = model->addOperand(&type1);
99 auto num_splits = model->addOperand(&type1);
100 auto output0 = model->addOperand(&type5);
101 auto output1 = model->addOperand(&type5);
102 auto output2 = model->addOperand(&type5);
103 // Phase 2, operations
104 static int32_t axis_init[] = {1};
105 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
106 static int32_t num_splits_init[] = {3};
107 model->setOperandValue(num_splits, num_splits_init, sizeof(int32_t) * 1);
108 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2});
109 // Phase 3, inputs and outputs
110 model->identifyInputsAndOutputs(
111 {input0},
112 {output0, output1, output2});
113 assert(model->isValid());
114 }
115
is_ignored_dynamic_output_shape(int i)116 inline bool is_ignored_dynamic_output_shape(int i) {
117 static std::set<int> ignore = {};
118 return ignore.find(i) != ignore.end();
119 }
120
CreateModel_dynamic_output_shape_relaxed(Model * model)121 void CreateModel_dynamic_output_shape_relaxed(Model *model) {
122 OperandType type0(Type::TENSOR_FLOAT32, {2, 3});
123 OperandType type1(Type::INT32, {});
124 OperandType type5(Type::TENSOR_FLOAT32, {0, 0});
125 // Phase 1, operands
126 auto input0 = model->addOperand(&type0);
127 auto axis = model->addOperand(&type1);
128 auto num_splits = model->addOperand(&type1);
129 auto output0 = model->addOperand(&type5);
130 auto output1 = model->addOperand(&type5);
131 auto output2 = model->addOperand(&type5);
132 // Phase 2, operations
133 static int32_t axis_init[] = {1};
134 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
135 static int32_t num_splits_init[] = {3};
136 model->setOperandValue(num_splits, num_splits_init, sizeof(int32_t) * 1);
137 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2});
138 // Phase 3, inputs and outputs
139 model->identifyInputsAndOutputs(
140 {input0},
141 {output0, output1, output2});
142 // Phase 4: set relaxed execution
143 model->relaxComputationFloat32toFloat16(true);
144 assert(model->isValid());
145 }
146
is_ignored_dynamic_output_shape_relaxed(int i)147 inline bool is_ignored_dynamic_output_shape_relaxed(int i) {
148 static std::set<int> ignore = {};
149 return ignore.find(i) != ignore.end();
150 }
151
CreateModel_dynamic_output_shape_float16(Model * model)152 void CreateModel_dynamic_output_shape_float16(Model *model) {
153 OperandType type1(Type::INT32, {});
154 OperandType type3(Type::TENSOR_FLOAT16, {2, 3});
155 OperandType type6(Type::TENSOR_FLOAT16, {0, 0});
156 // Phase 1, operands
157 auto input0 = model->addOperand(&type3);
158 auto axis = model->addOperand(&type1);
159 auto num_splits = model->addOperand(&type1);
160 auto output0 = model->addOperand(&type6);
161 auto output1 = model->addOperand(&type6);
162 auto output2 = model->addOperand(&type6);
163 // Phase 2, operations
164 static int32_t axis_init[] = {1};
165 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
166 static int32_t num_splits_init[] = {3};
167 model->setOperandValue(num_splits, num_splits_init, sizeof(int32_t) * 1);
168 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2});
169 // Phase 3, inputs and outputs
170 model->identifyInputsAndOutputs(
171 {input0},
172 {output0, output1, output2});
173 assert(model->isValid());
174 }
175
is_ignored_dynamic_output_shape_float16(int i)176 inline bool is_ignored_dynamic_output_shape_float16(int i) {
177 static std::set<int> ignore = {};
178 return ignore.find(i) != ignore.end();
179 }
180
181