| // Generated file (from: concat_quant8.mod.py). Do not edit |
| void CreateModel(Model *model) { |
| OperandType type1(Type::INT32, {}); |
| OperandType type0(Type::TENSOR_QUANT8_ASYMM, {2, 3}, 0.5f, 0); |
| OperandType type2(Type::TENSOR_QUANT8_ASYMM, {2, 6}, 0.5f, 0); |
| // Phase 1, operands |
| auto op1 = model->addOperand(&type0); |
| auto op2 = model->addOperand(&type0); |
| auto axis1 = model->addOperand(&type1); |
| auto act0 = model->addOperand(&type1); |
| auto result = model->addOperand(&type2); |
| // Phase 2, operations |
| static int32_t axis1_init[] = {1}; |
| model->setOperandValue(axis1, axis1_init, sizeof(int32_t) * 1); |
| static int32_t act0_init[] = {0}; |
| model->setOperandValue(act0, act0_init, sizeof(int32_t) * 1); |
| model->addOperation(ANEURALNETWORKS_CONCATENATION, {op1, op2, axis1, act0}, {result}); |
| // Phase 3, inputs and outputs |
| model->setInputsAndOutputs( |
| {op1, op2}, |
| {result}); |
| assert(model->isValid()); |
| } |
| |
| bool is_ignored(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |