| // clang-format off |
| // Generated file (from: max_pool_float_4.mod.py). Do not edit |
| void CreateModel(Model *model) { |
| OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 4, 1}); |
| OperandType type1(Type::INT32, {}); |
| OperandType type2(Type::TENSOR_FLOAT32, {1, 1, 2, 1}); |
| // Phase 1, operands |
| auto op1 = model->addOperand(&type0); |
| auto pad_same = model->addOperand(&type1); |
| auto cons2 = model->addOperand(&type1); |
| auto act_none = model->addOperand(&type1); |
| auto op3 = model->addOperand(&type2); |
| // Phase 2, operations |
| static int32_t pad_same_init[] = {1}; |
| model->setOperandValue(pad_same, pad_same_init, sizeof(int32_t) * 1); |
| static int32_t cons2_init[] = {2}; |
| model->setOperandValue(cons2, cons2_init, sizeof(int32_t) * 1); |
| static int32_t act_none_init[] = {0}; |
| model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1); |
| model->addOperation(ANEURALNETWORKS_MAX_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, act_none}, {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(); |
| } |
| |