class_docstr: A BatchNormModuleHandler which deals with the sharding strategies for nn.BatchNormXd module.
code: def get_strategy_generator(self) -> List[StrategyGenerator]:
      op_data_mapping = self.get_operation_data_mapping()
      generators = []
      generators.append(
          BatchNormStrategyGenerator(op_data_mapping, self.device_mesh)
      )
      return generators
  
file_path: colossalai/colossalai/auto_parallel/tensor_shard/node_handler/batch_norm_handler.py
imports: from typing import Dict, List
  import torch
  from ..sharding_strategy import OperationData, OperationDataType
  from .node_handler import MetaInfoModuleHandler
  from .registry import operator_registry
  from .strategy import BatchNormStrategyGenerator, StrategyGenerator
label_desc: Use image node_id 1 for calling the BatchNormModuleHandler obj's underlying member method code with example usage: obj.get_strategy_generator() and returns: generators