class_docstr: A PlaceholderHandler which deals with the sharding strategies for Placeholder Node.
class_docstr_tok: ["A","PlaceholderHandler","which","deals","with","the","sharding","strategies","for","Placeholder","Node","."]
code: def get_strategy_generator(self) -> List[StrategyGenerator]:
      op_data_mapping = self.get_operation_data_mapping()
      generators = []
      generators.append(
          PlaceholderGenerator(
              op_data_mapping,
              self.device_mesh,
              placeholder_option=self.placeholder_option,
          )
      )
      return generators
  
file_path: ColossalAI/colossalai/auto_parallel/tensor_shard/node_handler/placeholder_handler.py
imports: from typing import Dict, List
  from torch.fx.node import Node
  from colossalai.device.device_mesh import DeviceMesh
  from ..sharding_strategy import OperationData, OperationDataType, StrategiesVector
  from .node_handler import NodeHandler
  from .strategy import PlaceholderGenerator, StrategyGenerator
label_desc: Use image node_id 2 for calling the PlaceholderHandler obj's underlying member method code with example usage: obj.get_strategy_generator() and returns: generators