| // Generated file (from: concat_quant8_3.mod.py). Do not edit |
| void CreateModel(Model *model) { |
| OperandType type2(Type::INT32, {}); |
| OperandType type1(Type::TENSOR_QUANT8_ASYMM, {400, 30}, 0.5f, 0); |
| OperandType type0(Type::TENSOR_QUANT8_ASYMM, {400, 60}, 0.5f, 0); |
| OperandType type3(Type::TENSOR_QUANT8_ASYMM, {400, 90}, 0.5f, 0); |
| // Phase 1, operands |
| auto input1 = model->addOperand(&type0); |
| auto input2 = model->addOperand(&type1); |
| auto axis1 = model->addOperand(&type2); |
| auto output = model->addOperand(&type3); |
| // Phase 2, operations |
| static int32_t axis1_init[] = {1}; |
| model->setOperandValue(axis1, axis1_init, sizeof(int32_t) * 1); |
| model->addOperation(ANEURALNETWORKS_CONCATENATION, {input1, input2, axis1}, {output}); |
| // Phase 3, inputs and outputs |
| model->setInputsAndOutputs( |
| {input1, input2}, |
| {output}); |
| assert(model->isValid()); |
| } |
| |
| bool is_ignored(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |