class_docstr: A PermuteHandler which deals with the sharding strategies for torch.permute or torch.transpose.
code: def get_strategy_generator(self) -> List[StrategyGenerator]:
      op_data_mapping = self.get_operation_data_mapping()
      generators = []
      generators.append(
          PermuteGenerator(
              op_data_mapping, self.device_mesh, self.node.args[0]
          )
      )
      return generators
  
file_path: colossalai/colossalai/auto_parallel/tensor_shard/node_handler/permute_handler.py
imports: 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 PermuteGenerator, StrategyGenerator
label_desc: Use image node_id 1 for calling the PermuteHandler obj's underlying member method code with example usage: obj.get_strategy_generator() and returns: generators