class_docstr: Inference model implementation for ragged batching for Mistral models.
class_docstr_tok: ["Inference","model","implementation","for","ragged","batching","for","Mistral","models","."]
code: def norm_type(self) -> NormTypeEnum:
      return NormTypeEnum.RMSNorm
  
imports: from typing import Iterable, Optional, Tuple
  import torch
  import deepspeed.comm
  from ...allocator import empty_from
  from ...inference_utils import ActivationType, DtypeEnum
  from ...model_implementations import *
  from ...modules.configs import *
  from ...modules.interfaces import *
  from ...modules import heuristics
  from ...ragged import RaggedBatchWrapper
  from .container import MistralNonTransformerContainer, MistralTransformerContainer
label_desc: Use image node_id 11 for calling the MistralInferenceModel obj's underlying member method code with example usage: obj.norm_type() and returns: NormTypeEnum