1// Generated file (from: concat_float_3.mod.py). Do not edit 2void CreateModel(Model *model) { 3 OperandType type2(Type::INT32, {}); 4 OperandType type1(Type::TENSOR_FLOAT32, {212, 30}); 5 OperandType type0(Type::TENSOR_FLOAT32, {212, 60}); 6 OperandType type3(Type::TENSOR_FLOAT32, {212, 90}); 7 // Phase 1, operands 8 auto input1 = model->addOperand(&type0); 9 auto input2 = model->addOperand(&type1); 10 auto axis1 = model->addOperand(&type2); 11 auto output = model->addOperand(&type3); 12 // Phase 2, operations 13 static int32_t axis1_init[] = {1}; 14 model->setOperandValue(axis1, axis1_init, sizeof(int32_t) * 1); 15 model->addOperation(ANEURALNETWORKS_CONCATENATION, {input1, input2, axis1}, {output}); 16 // Phase 3, inputs and outputs 17 model->identifyInputsAndOutputs( 18 {input1, input2}, 19 {output}); 20 assert(model->isValid()); 21} 22 23bool is_ignored(int i) { 24 static std::set<int> ignore = {}; 25 return ignore.find(i) != ignore.end(); 26} 27