code: def collate_strategies(self) -> List[ShardingStrategy]:
      strategy_list = []
  
      # no split
      strategy_list.append(self.no_split())
  
      # split the batch dim for the first tensor only
      strategy_list.append(self.split_input_batch(0))
      strategy_list.append(self.split_input_batch(1))
  
      return strategy_list
  
imports: import operator
  from functools import reduce
  from typing import List
  from colossalai.auto_parallel.tensor_shard.options import SolverPerference
  from colossalai.auto_parallel.tensor_shard.sharding_strategy import CommType, MemoryCost, ShardingStrategy, TrainCycleItem
  from colossalai.auto_parallel.tensor_shard.utils import ignore_sharding_exception
  from colossalai.tensor.shape_consistency import CollectiveCommPattern
  from .strategy_generator import StrategyGenerator
label_desc: Use image node_id 5 for calling the MatVecStrategyGenerator obj's underlying member method code with example usage: obj.collate_strategies() and returns: strategy_list