1 // Generated file (from: fully_connected_float.mod.py). Do not edit 2 void CreateModel(Model *model) { 3 OperandType type3(Type::INT32, {}); 4 OperandType type1(Type::TENSOR_FLOAT32, {1, 1}); 5 OperandType type2(Type::TENSOR_FLOAT32, {1}); 6 OperandType type0(Type::TENSOR_FLOAT32, {3, 1}); 7 // Phase 1, operands 8 auto op1 = model->addOperand(&type0); 9 auto op2 = model->addOperand(&type1); 10 auto b0 = model->addOperand(&type2); 11 auto op3 = model->addOperand(&type0); 12 auto act = model->addOperand(&type3); 13 // Phase 2, operations 14 static float op2_init[] = {2.0f}; 15 model->setOperandValue(op2, op2_init, sizeof(float) * 1); 16 static float b0_init[] = {4.0f}; 17 model->setOperandValue(b0, b0_init, sizeof(float) * 1); 18 static int32_t act_init[] = {0}; 19 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); 20 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3}); 21 // Phase 3, inputs and outputs 22 model->identifyInputsAndOutputs( 23 {op1}, 24 {op3}); 25 assert(model->isValid()); 26 } 27 28 bool is_ignored(int i) { 29 static std::set<int> ignore = {}; 30 return ignore.find(i) != ignore.end(); 31 } 32
