1// Generated file (from: fully_connected_quant8_large_weights_as_inputs.mod.py). Do not edit 2void CreateModel(Model *model) { 3 OperandType type3(Type::INT32, {}); 4 OperandType type1(Type::TENSOR_INT32, {1}, 0.04, 0); 5 OperandType type2(Type::TENSOR_QUANT8_ASYMM, {1, 1}, 1.f, 0); 6 OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 5}, 0.2, 0); 7 // Phase 1, operands 8 auto op1 = model->addOperand(&type0); 9 auto op2 = model->addOperand(&type0); 10 auto b0 = model->addOperand(&type1); 11 auto op3 = model->addOperand(&type2); 12 auto act = model->addOperand(&type3); 13 // Phase 2, operations 14 static int32_t act_init[] = {0}; 15 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); 16 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3}); 17 // Phase 3, inputs and outputs 18 model->identifyInputsAndOutputs( 19 {op1, op2, b0}, 20 {op3}); 21 assert(model->isValid()); 22} 23 24bool is_ignored(int i) { 25 static std::set<int> ignore = {}; 26 return ignore.find(i) != ignore.end(); 27} 28