| // clang-format off |
| // Generated file (from: pad_float_1.mod.py). Do not edit |
| void CreateModel(Model *model) { |
| OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 3, 1}); |
| OperandType type1(Type::TENSOR_INT32, {4, 2}); |
| OperandType type2(Type::TENSOR_FLOAT32, {1, 4, 7, 1}); |
| // Phase 1, operands |
| auto op1 = model->addOperand(&type0); |
| auto op2 = model->addOperand(&type1); |
| auto op3 = model->addOperand(&type2); |
| // Phase 2, operations |
| static int32_t op2_init[] = {0, 0, 0, 2, 1, 3, 0, 0}; |
| model->setOperandValue(op2, op2_init, sizeof(int32_t) * 8); |
| model->addOperation(ANEURALNETWORKS_PAD, {op1, op2}, {op3}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {op1}, |
| {op3}); |
| assert(model->isValid()); |
| } |
| |
| inline bool is_ignored(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |