1 // Generated file (from: pad_float_1.mod.py). Do not edit
CreateModel(Model * model)2 void CreateModel(Model *model) {
3 OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 3, 1});
4 OperandType type2(Type::TENSOR_FLOAT32, {1, 4, 7, 1});
5 OperandType type1(Type::TENSOR_INT32, {4, 2});
6 // Phase 1, operands
7 auto op1 = model->addOperand(&type0);
8 auto op2 = model->addOperand(&type1);
9 auto op3 = model->addOperand(&type2);
10 // Phase 2, operations
11 static int32_t op2_init[] = {0, 0, 0, 2, 1, 3, 0, 0};
12 model->setOperandValue(op2, op2_init, sizeof(int32_t) * 8);
13 model->addOperation(ANEURALNETWORKS_PAD, {op1, op2}, {op3});
14 // Phase 3, inputs and outputs
15 model->identifyInputsAndOutputs(
16 {op1},
17 {op3});
18 assert(model->isValid());
19 }
20
is_ignored(int i)21 bool is_ignored(int i) {
22 static std::set<int> ignore = {};
23 return ignore.find(i) != ignore.end();
24 }
25