1// Generated file (from: local_response_norm_float_2.mod.py). Do not edit 2void CreateModel(Model *model) { 3 OperandType type2(Type::FLOAT32, {}); 4 OperandType type1(Type::INT32, {}); 5 OperandType type0(Type::TENSOR_FLOAT32, {1, 1, 1, 6}); 6 // Phase 1, operands 7 auto input = model->addOperand(&type0); 8 auto radius = model->addOperand(&type1); 9 auto bias = model->addOperand(&type2); 10 auto alpha = model->addOperand(&type2); 11 auto beta = model->addOperand(&type2); 12 auto output = model->addOperand(&type0); 13 // Phase 2, operations 14 static int32_t radius_init[] = {20}; 15 model->setOperandValue(radius, radius_init, sizeof(int32_t) * 1); 16 static float bias_init[] = {0.0f}; 17 model->setOperandValue(bias, bias_init, sizeof(float) * 1); 18 static float alpha_init[] = {1.0f}; 19 model->setOperandValue(alpha, alpha_init, sizeof(float) * 1); 20 static float beta_init[] = {0.5f}; 21 model->setOperandValue(beta, beta_init, sizeof(float) * 1); 22 model->addOperation(ANEURALNETWORKS_LOCAL_RESPONSE_NORMALIZATION, {input, radius, bias, alpha, beta}, {output}); 23 // Phase 3, inputs and outputs 24 model->identifyInputsAndOutputs( 25 {input}, 26 {output}); 27 assert(model->isValid()); 28} 29 30bool is_ignored(int i) { 31 static std::set<int> ignore = {}; 32 return ignore.find(i) != ignore.end(); 33} 34