code: def get_shared_params(self) -> List[Dict[int, Tensor]]:
      opt_model = self.model
      if (
          self.pipeline_stage_manager
          and self.pipeline_stage_manager.num_stages > 1
      ):
          num_stages = self.pipeline_stage_manager.num_stages
          if id(opt_model.model.decoder.embed_tokens.weight) == id(
              opt_model.lm_head.weight
          ):
              return [
                  {
                      0: opt_model.model.decoder.embed_tokens.weight,
                      num_stages - 1: opt_model.lm_head.weight,
                  }
              ]
      return []
  
imports: import warnings
  from functools import partial
  from typing import Callable, Dict, List
  import torch.nn
  from torch import Tensor, nn
  from colossalai.shardformer.layer import FusedLayerNorm, LayerNorm, Linear1D_Col, Linear1D_Row, VocabParallelEmbedding1D
  from .._utils import getattr_
  from ..modeling.jit import get_jit_fused_dropout_add_func
  from ..modeling.opt import OPTPipelineForwards, get_jit_fused_opt_decoder_layer_forward, get_opt_flash_attention_forward
  from .base_policy import ModulePolicyDescription, Policy, SubModuleReplacementDescription
label_desc: Use image node_id 3 for calling the OPTForCausalLMPolicy obj's underlying member method code with example usage: obj.get_shared_params() and returns: list, list