class_docstr: OutputStrategyGenerator is used to generate the sharding strategies for Output Node.
class_docstr_tok: ["OutputStrategyGenerator","is","used","to","generate","the","sharding","strategies","for","Output","Node","."]
code: def __init__(
      self,
      operation_data_mapping: Dict[str, OperationData],
      device_mesh: DeviceMesh,
      predecessor_nodes: List[Node],
  ):
      super().__init__(operation_data_mapping, device_mesh)
      self.predecessor_nodes = predecessor_nodes
  
imports: import operator
  from abc import ABC, abstractmethod
  from functools import reduce
  from typing import Any, Dict, List, Union
  import torch
  from torch.fx import Node
  from colossalai.auto_parallel.tensor_shard.sharding_strategy import CommAction, CommType, OperationData, OperationDataType, ShardingStrategy, TrainCycleItem
  from colossalai.device.device_mesh import DeviceMesh
  from colossalai.tensor.shape_consistency import CollectiveCommPattern, CommSpec, ShapeConsistencyManager
  from colossalai.tensor.sharding_spec import ShardingSpec
  from colossalai.tensor.utils import convert_dim_partition_dict
label_desc: Use image node_id 1 to create a new OutputStrategyGenerator object from inherited base classes: StrategyGenerator with example: obj = OutputStrategyGenerator(operation_data_mapping, device_mesh, predecessor_nodes)