class_docstr: GetItemStrategyGenerator is a generic class to generate strategies for operator.getitem.
  The operation data is defined as `output = input[other]`.
  
  There are mainly three use cases:
      1. args_0._meta_data: torch.Tensor, args_1._meta_data: int
      2. args_0._meta_data: torch.Tensor, args_1._meta_data: slice
      3. args_0._meta_data: Tuple[torch.Tensor], args_1._meta_data: int
class_docstr_tok: ["GetItemStrategyGenerator","is","a","generic","class","to","generate","strategies","for","operator.getitem",".","The","operation","data","is","defined","as","`","output","=","input","[","other","]","`",".","There","are","mainly","three","use","cases",":","1.","args_0._meta_data",":","torch.Tensor",",","args_1._meta_data",":","int","2.","args_0._meta_data",":","torch.Tensor",",","args_1._meta_data",":","slice","3.","args_0._meta_data",":","Tuple","[","torch.Tensor","]",",","args_1._meta_data",":","int"]
code: def validate(self) -> bool:
      return super().validate()
  
file_path: colossalai/colossalai/auto_parallel/tensor_shard/node_handler/strategy/getitem_generator.py
imports: import copy
  from typing import List
  from colossalai.auto_parallel.tensor_shard.sharding_strategy import MemoryCost, ShardingStrategy, TrainCycleItem
  from colossalai.logging import get_dist_logger
  from colossalai.tensor.sharding_spec import ShardingSpecException
  from .strategy_generator import FollowingStrategyGenerator
label_desc: Use image node_id 1 for calling the GetItemStrategyGenerator obj's underlying member method code with example usage: obj.validate() and returns: super