code: def tp_strategies(self) -> List[ShardingStrategy]:
      strategies = []
  
      # RR = RS01 x S01R
      strategies.append(self.split_lhs_2nd_dim_1d(0, 1))
  
      # RS01 = RR x RS01
      strategies.append(self.split_rhs_2nd_dim_1d(0, 1))
  
      # RS = RS x SS
      strategies.append(self.split_rhs_space_both_contract(0, 1))
      strategies.append(self.split_rhs_space_both_contract(1, 0))
  
      # RR= RS x SR
      strategies.append(self.recompute_split_both_contract(0))
      strategies.append(self.recompute_split_both_contract(1))
  
      # RS = RR x RS
      strategies.append(self.split_rhs_space_only(0))
      strategies.append(self.split_rhs_space_only(1))
  
      return strategies
  
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 4 for calling the LinearProjectionStrategyGenerator obj's underlying member method code with example usage: obj.tp_strategies() and returns: strategies