1 // Generated file (from: l2_pool_float.mod.py). Do not edit 2 void CreateModel(Model *model) { 3 OperandType type1(Type::INT32, {}); 4 OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 1}); 5 // Phase 1, operands 6 auto op1 = model->addOperand(&type0); 7 auto cons1 = model->addOperand(&type1); 8 auto pad0 = model->addOperand(&type1); 9 auto act = model->addOperand(&type1); 10 auto op3 = model->addOperand(&type0); 11 // Phase 2, operations 12 static int32_t cons1_init[] = {1}; 13 model->setOperandValue(cons1, cons1_init, sizeof(int32_t) * 1); 14 static int32_t pad0_init[] = {0}; 15 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); 16 static int32_t act_init[] = {0}; 17 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); 18 model->addOperation(ANEURALNETWORKS_L2_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act}, {op3}); 19 // Phase 3, inputs and outputs 20 model->identifyInputsAndOutputs( 21 {op1}, 22 {op3}); 23 assert(model->isValid()); 24 } 25 26 bool is_ignored(int i) { 27 static std::set<int> ignore = {}; 28 return ignore.find(i) != ignore.end(); 29 } 30
