1e8e5d34c4159532eb324df393c2c752a508bced1Miao Wang// Generated file (from: logistic_float_2_relaxed.mod.py). Do not edit 2e8e5d34c4159532eb324df393c2c752a508bced1Miao Wangvoid CreateModel(Model *model) { 3e8e5d34c4159532eb324df393c2c752a508bced1Miao Wang OperandType type0(Type::TENSOR_FLOAT32, {2, 32, 40, 2}); 4e8e5d34c4159532eb324df393c2c752a508bced1Miao Wang // Phase 1, operands 5e8e5d34c4159532eb324df393c2c752a508bced1Miao Wang auto input = model->addOperand(&type0); 6e8e5d34c4159532eb324df393c2c752a508bced1Miao Wang auto output = model->addOperand(&type0); 7e8e5d34c4159532eb324df393c2c752a508bced1Miao Wang // Phase 2, operations 8e8e5d34c4159532eb324df393c2c752a508bced1Miao Wang model->addOperation(ANEURALNETWORKS_LOGISTIC, {input}, {output}); 9e8e5d34c4159532eb324df393c2c752a508bced1Miao Wang // Phase 3, inputs and outputs 10e8e5d34c4159532eb324df393c2c752a508bced1Miao Wang model->identifyInputsAndOutputs( 11e8e5d34c4159532eb324df393c2c752a508bced1Miao Wang {input}, 12e8e5d34c4159532eb324df393c2c752a508bced1Miao Wang {output}); 13e8e5d34c4159532eb324df393c2c752a508bced1Miao Wang // Phase 4: set relaxed execution 14e8e5d34c4159532eb324df393c2c752a508bced1Miao Wang model->relaxComputationFloat32toFloat16(true); 15e8e5d34c4159532eb324df393c2c752a508bced1Miao Wang assert(model->isValid()); 16e8e5d34c4159532eb324df393c2c752a508bced1Miao Wang} 17e8e5d34c4159532eb324df393c2c752a508bced1Miao Wang 18e8e5d34c4159532eb324df393c2c752a508bced1Miao Wangbool is_ignored(int i) { 19e8e5d34c4159532eb324df393c2c752a508bced1Miao Wang static std::set<int> ignore = {}; 20e8e5d34c4159532eb324df393c2c752a508bced1Miao Wang return ignore.find(i) != ignore.end(); 21e8e5d34c4159532eb324df393c2c752a508bced1Miao Wang} 22