class_docstr: StrategyGenerator is used to generate the same group of sharding strategies.
  
  TODO: remove the original strategy_generator.py after refactoring
class_docstr_tok: ["StrategyGenerator","is","used","to","generate","the","same","group","of","sharding","strategies",".","TODO",":","remove","the","original","strategy_generator.py","after","refactoring"]
docstr: Validate if the operands are of desired shape.
  If True, means this generator can be used for the current operation.
docstr_tok: ["Validate","if","the","operands","are","of","desired","shape",".","If","True",",","means","this","generator","can","be","used","for","the","current","operation","."]
code: def validate(self) -> bool:
      """
      Validate if the operands are of desired shape.
      If True, means this generator can be used for the current operation.
      """
  
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 16 for calling the StrategyGenerator obj's underlying member method code with example usage: obj.validate() without return types