code: def split_rhs_space_both_contract(self, mesh_dim_0, mesh_dim_1):
      name = f"RS{mesh_dim_1} = RS{mesh_dim_0} x S{mesh_dim_0}S{mesh_dim_1}"
  
      # get sharding specs
      dim_partition_dict_mapping = {
          "input": {-1: [mesh_dim_0]},
          "other": {0: [mesh_dim_0], -1: [mesh_dim_1]},
          "bias": {-1: [mesh_dim_1]},
          "output": {-1: [mesh_dim_1]},
      }
  
      # We don't have to do anything special for bias here, because
      # the bias is already the same sharding spec as the output.
  
      sharding_spec_mapping = self.to_sharding_spec_mapping(
          dim_partition_dict_mapping
      )
  
      # get communication actions
      communication_action_mapping = {}
      output_comm_action = self.get_communication_action(
          sharding_spec=sharding_spec_mapping["output"],
          communication_pattern=CollectiveCommPattern.ALLREDUCE_FWD_IDENTITY_BWD,
          logical_process_axis=mesh_dim_0,
          comm_type=CommType.AFTER,
      )
      input_comm_action = self.get_communication_action(
          sharding_spec=sharding_spec_mapping["input"],
          communication_pattern=CollectiveCommPattern.IDENTITY_FWD_ALLREDUCE_BWD,
          logical_process_axis=mesh_dim_1,
          comm_type=CommType.BEFORE,
          arg_index=0,
      )
      communication_action_mapping["input"] = input_comm_action
      communication_action_mapping["output"] = output_comm_action
      return self.get_sharding_strategy(
          name=name,
          sharding_spec_mapping=sharding_spec_mapping,
          communication_action_mapping=communication_action_mapping,
      )
  
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 9 for calling the LinearProjectionStrategyGenerator obj's underlying member method code with example usage: obj.split_rhs_space_both_contract(mesh_dim_0, mesh_dim_1) and returns: self