class_docstr: This is a NodeHandler class which deals with the batched matrix multiplication operation in PyTorch.
  Such operations including `torch.bmm` and `torch.Tensor.bmm` require the tensor to be 3D, thus, there is
  no logical-physical shape conversion in this handler.
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code: def get_strategy_generator(self) -> List[StrategyGenerator]:
      op_data_mapping = self.get_operation_data_mapping()
      generators = []
      generators.append(
          BatchedMatMulStrategyGenerator(
              op_data_mapping, self.device_mesh
          )
      )
      return generators
  
file_path: ColossalAI/colossalai/auto_parallel/tensor_shard/node_handler/bmm_handler.py
imports: from typing import Dict, List, Union
  import torch
  from ..sharding_strategy import OperationData, OperationDataType, ShardingStrategy
  from ..utils import comm_actions_for_oprands, recover_sharding_spec_for_broadcast_shape
  from .node_handler import NodeHandler
  from .registry import operator_registry
  from .strategy import BatchedMatMulStrategyGenerator, StrategyGenerator
label_desc: Use image node_id 2 for calling the BMMFunctionHandler obj's underlying member method code with example usage: obj.get_strategy_generator() and returns: generators