class_docstr: A GetItemHandler which deals with the sharding strategies for operator.getitem.
class_docstr_tok: ["A","GetItemHandler","which","deals","with","the","sharding","strategies","for","operator.getitem","."]
code: def get_strategy_generator(self) -> List[StrategyGenerator]:
      op_data_mapping = self.get_operation_data_mapping()
      generators = []
      if isinstance(op_data_mapping["input"].data, torch.Tensor):
          generators.append(
              TensorStrategyGenerator(
                  op_data_mapping, self.device_mesh, self.node.args[0]
              )
          )
      else:
          generators.append(
              TensorTupleStrategyGenerator(
                  op_data_mapping, self.device_mesh, self.node.args[0]
              )
          )
  
      return generators
  
file_path: ColossalAI/colossalai/auto_parallel/tensor_shard/node_handler/getitem_handler.py
imports: import operator
  from typing import Dict, List
  import torch
  from ..sharding_strategy import OperationData, OperationDataType
  from .node_handler import NodeHandler
  from .registry import operator_registry
  from .strategy import StrategyGenerator, TensorStrategyGenerator, TensorTupleStrategyGenerator
label_desc: Use image node_id 1 for calling the GetItemHandler obj's underlying member method code with example usage: obj.get_strategy_generator() and returns: generators