code: def module_policy(self):
      from transformers import MistralForSequenceClassification
  
      policy = super().module_policy()
  
      if self.shard_config.enable_tensor_parallelism:
          # add a new item for sequence classification
          new_item = {
              MistralForSequenceClassification: ModulePolicyDescription(
                  sub_module_replacement=[
                      SubModuleReplacementDescription(
                          suffix="score",
                          target_module=Linear1D_Col,
                          kwargs=dict(gather_output=True),
                      )
                  ]
              )
          }
  
          if self.pipeline_stage_manager:
              warnings.warn(
                  "Mistral dosen't support pipeline parallelism now."
              )
  
          policy.update(new_item)
      return policy
  
imports: import warnings
  from typing import Dict, Union
  import torch.nn
  from colossalai.shardformer.layer import FusedRMSNorm, Linear1D_Col, Linear1D_Row, VocabParallelEmbedding1D
  from ..modeling.mistral import get_mistral_flash_attention_forward
  from .base_policy import ModulePolicyDescription, Policy, SubModuleReplacementDescription
label_desc: Use image node_id 1 for calling the MistralForSequenceClassificationPolicy obj's underlying member method code with example usage: obj.module_policy() and returns: policy