1224c01eb06d3dc496b99b0827fdcc9e65bfc4f9aDong Chen// Generated file (from: logistic_float_2.mod.py). Do not edit 2224c01eb06d3dc496b99b0827fdcc9e65bfc4f9aDong Chenvoid CreateModel(Model *model) { 3e68d924a02511200be6186c947359dee7bb58f23Jean-Luc Brouillet OperandType type0(Type::TENSOR_FLOAT32, {2, 32, 40, 2}); 4224c01eb06d3dc496b99b0827fdcc9e65bfc4f9aDong Chen // Phase 1, operands 5224c01eb06d3dc496b99b0827fdcc9e65bfc4f9aDong Chen auto input = model->addOperand(&type0); 6224c01eb06d3dc496b99b0827fdcc9e65bfc4f9aDong Chen auto output = model->addOperand(&type0); 7224c01eb06d3dc496b99b0827fdcc9e65bfc4f9aDong Chen // Phase 2, operations 8224c01eb06d3dc496b99b0827fdcc9e65bfc4f9aDong Chen model->addOperation(ANEURALNETWORKS_LOGISTIC, {input}, {output}); 9224c01eb06d3dc496b99b0827fdcc9e65bfc4f9aDong Chen // Phase 3, inputs and outputs 1066d5cb6e3a90aefc8d545f6369080ab88de9d667Jean-Luc Brouillet model->identifyInputsAndOutputs( 11224c01eb06d3dc496b99b0827fdcc9e65bfc4f9aDong Chen {input}, 12224c01eb06d3dc496b99b0827fdcc9e65bfc4f9aDong Chen {output}); 13224c01eb06d3dc496b99b0827fdcc9e65bfc4f9aDong Chen assert(model->isValid()); 14224c01eb06d3dc496b99b0827fdcc9e65bfc4f9aDong Chen} 15224c01eb06d3dc496b99b0827fdcc9e65bfc4f9aDong Chen 16224c01eb06d3dc496b99b0827fdcc9e65bfc4f9aDong Chenbool is_ignored(int i) { 17224c01eb06d3dc496b99b0827fdcc9e65bfc4f9aDong Chen static std::set<int> ignore = {}; 18224c01eb06d3dc496b99b0827fdcc9e65bfc4f9aDong Chen return ignore.find(i) != ignore.end(); 19224c01eb06d3dc496b99b0827fdcc9e65bfc4f9aDong Chen} 20