1224c01eb06d3dc496b99b0827fdcc9e65bfc4f9aDong Chen// Generated file (from: relu_quant8_1.mod.py). Do not edit 2ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sungvoid CreateModel(Model *model) { 345bf79e5b9fee354fde7c1f64417d9ca4a1da7daMiao Wang OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 1}, 1.f, 128); 4ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sung // Phase 1, operands 5ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sung auto op1 = model->addOperand(&type0); 6ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sung auto op2 = model->addOperand(&type0); 7ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sung // Phase 2, operations 8ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sung model->addOperation(ANEURALNETWORKS_RELU, {op1}, {op2}); 9ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sung // Phase 3, inputs and outputs 1066d5cb6e3a90aefc8d545f6369080ab88de9d667Jean-Luc Brouillet model->identifyInputsAndOutputs( 11ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sung {op1}, 12ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sung {op2}); 13ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sung assert(model->isValid()); 14ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sung} 15ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sung 16ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sungbool is_ignored(int i) { 17ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sung static std::set<int> ignore = {}; 18ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sung return ignore.find(i) != ignore.end(); 19ec8e1c71d11f7b5abe306e0c9c6af7da755bd46bI-Jui (Ray) Sung} 20