class_docstr: StrategyGenerator is used to generate the same group of sharding strategies.
  
  TODO: remove the original strategy_generator.py after refactoring
class_docstr_tok: ["StrategyGenerator","is","used","to","generate","the","same","group","of","sharding","strategies",".","TODO",":","remove","the","original","strategy_generator.py","after","refactoring"]
docstr: A factory method to produce a CommSpec object.
docstr_tok: ["A","factory","method","to","produce","a","CommSpec","object","."]
code: def get_communication_spec(
      self,
      sharding_spec: ShardingSpec,
      communication_pattern: CollectiveCommPattern,
      logical_process_axis: Union[int, List[int]],
  ):
      """
      A factory method to produce a CommSpec object.
      """
      return CommSpec(
          comm_pattern=communication_pattern,
          sharding_spec=sharding_spec,
          logical_process_axis=logical_process_axis,
      )
  
imports: import operator
  from abc import ABC, abstractmethod
  from functools import reduce
  from typing import Any, Dict, List, Union
  import torch
  from torch.fx import Node
  from colossalai.auto_parallel.tensor_shard.sharding_strategy import CommAction, CommType, OperationData, OperationDataType, ShardingStrategy, TrainCycleItem
  from colossalai.device.device_mesh import DeviceMesh
  from colossalai.tensor.shape_consistency import CollectiveCommPattern, CommSpec, ShapeConsistencyManager
  from colossalai.tensor.sharding_spec import ShardingSpec
  from colossalai.tensor.utils import convert_dim_partition_dict
label_desc: Use image node_id 8 for calling the StrategyGenerator obj's underlying member method code with example usage: obj.get_communication_spec(sharding_spec, communication_pattern, logical_process_axis) and returns: CommSpec