1 // Generated file (from: concat_float_1.mod.py). Do not edit 2 void CreateModel(Model *model) { 3 OperandType type1(Type::INT32, {}); 4 OperandType type0(Type::TENSOR_FLOAT32, {2, 3}); 5 OperandType type2(Type::TENSOR_FLOAT32, {4, 3}); 6 // Phase 1, operands 7 auto op1 = model->addOperand(&type0); 8 auto op2 = model->addOperand(&type0); 9 auto axis0 = model->addOperand(&type1); 10 auto result = model->addOperand(&type2); 11 // Phase 2, operations 12 static int32_t axis0_init[] = {0}; 13 model->setOperandValue(axis0, axis0_init, sizeof(int32_t) * 1); 14 model->addOperation(ANEURALNETWORKS_CONCATENATION, {op1, op2, axis0}, {result}); 15 // Phase 3, inputs and outputs 16 model->identifyInputsAndOutputs( 17 {op1, op2}, 18 {result}); 19 assert(model->isValid()); 20 } 21 22 bool is_ignored(int i) { 23 static std::set<int> ignore = {}; 24 return ignore.find(i) != ignore.end(); 25 } 26
