1bee07f73a5f998a2dd6dc581e7776557c21f9684Miao Wang// Generated file (from: reshape_weights_as_inputs.mod.py). Do not edit 2bee07f73a5f998a2dd6dc581e7776557c21f9684Miao Wangvoid CreateModel(Model *model) { 3bee07f73a5f998a2dd6dc581e7776557c21f9684Miao Wang OperandType type0(Type::TENSOR_FLOAT32, {1, 1, 3, 3}); 4bee07f73a5f998a2dd6dc581e7776557c21f9684Miao Wang OperandType type2(Type::TENSOR_FLOAT32, {9}); 5bee07f73a5f998a2dd6dc581e7776557c21f9684Miao Wang OperandType type1(Type::TENSOR_INT32, {1}); 6bee07f73a5f998a2dd6dc581e7776557c21f9684Miao Wang // Phase 1, operands 7bee07f73a5f998a2dd6dc581e7776557c21f9684Miao Wang auto op1 = model->addOperand(&type0); 8bee07f73a5f998a2dd6dc581e7776557c21f9684Miao Wang auto op2 = model->addOperand(&type1); 9bee07f73a5f998a2dd6dc581e7776557c21f9684Miao Wang auto op3 = model->addOperand(&type2); 10bee07f73a5f998a2dd6dc581e7776557c21f9684Miao Wang // Phase 2, operations 11bee07f73a5f998a2dd6dc581e7776557c21f9684Miao Wang model->addOperation(ANEURALNETWORKS_RESHAPE, {op1, op2}, {op3}); 12bee07f73a5f998a2dd6dc581e7776557c21f9684Miao Wang // Phase 3, inputs and outputs 13bee07f73a5f998a2dd6dc581e7776557c21f9684Miao Wang model->identifyInputsAndOutputs( 14bee07f73a5f998a2dd6dc581e7776557c21f9684Miao Wang {op1, op2}, 15bee07f73a5f998a2dd6dc581e7776557c21f9684Miao Wang {op3}); 16bee07f73a5f998a2dd6dc581e7776557c21f9684Miao Wang assert(model->isValid()); 17bee07f73a5f998a2dd6dc581e7776557c21f9684Miao Wang} 18bee07f73a5f998a2dd6dc581e7776557c21f9684Miao Wang 19bee07f73a5f998a2dd6dc581e7776557c21f9684Miao Wangbool is_ignored(int i) { 20bee07f73a5f998a2dd6dc581e7776557c21f9684Miao Wang static std::set<int> ignore = {}; 21bee07f73a5f998a2dd6dc581e7776557c21f9684Miao Wang return ignore.find(i) != ignore.end(); 22bee07f73a5f998a2dd6dc581e7776557c21f9684Miao Wang} 23