1 // clang-format off
2 // Generated file (from: l2_normalization.mod.py). Do not edit
CreateModel(Model * model)3 void CreateModel(Model *model) {
4 OperandType type0(Type::TENSOR_FLOAT32, {1, 1, 1, 3});
5 // Phase 1, operands
6 auto op1 = model->addOperand(&type0);
7 auto op2 = model->addOperand(&type0);
8 // Phase 2, operations
9 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2});
10 // Phase 3, inputs and outputs
11 model->identifyInputsAndOutputs(
12 {op1},
13 {op2});
14 assert(model->isValid());
15 }
16
is_ignored(int i)17 inline bool is_ignored(int i) {
18 static std::set<int> ignore = {};
19 return ignore.find(i) != ignore.end();
20 }
21
CreateModel_dynamic_output_shape(Model * model)22 void CreateModel_dynamic_output_shape(Model *model) {
23 OperandType type0(Type::TENSOR_FLOAT32, {1, 1, 1, 3});
24 OperandType type1(Type::TENSOR_FLOAT32, {0, 0, 0, 0});
25 // Phase 1, operands
26 auto op1 = model->addOperand(&type0);
27 auto op2 = model->addOperand(&type1);
28 // Phase 2, operations
29 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2});
30 // Phase 3, inputs and outputs
31 model->identifyInputsAndOutputs(
32 {op1},
33 {op2});
34 assert(model->isValid());
35 }
36
is_ignored_dynamic_output_shape(int i)37 inline bool is_ignored_dynamic_output_shape(int i) {
38 static std::set<int> ignore = {};
39 return ignore.find(i) != ignore.end();
40 }
41
42