code: def use_decoding_fast_path(q_type, use_fuse_rope, enough_kv_room, bs):
      return (
          q_type in [SYM_INT4, FP8E5]
          and use_fuse_rope
          and enough_kv_room
          and bs == 1
      )
  
file_path: BigDL/python/llm/src/bigdl/llm/transformers/models/mistral.py
imports: import math
  from typing import Optional, Tuple
  import torch
  from torch import nn
  import torch.nn.functional
  from bigdl.llm.utils.common import invalidInputError
  from bigdl.llm.transformers.models.utils import init_kv_cache, extend_kv_cache, append_kv_cache
  from bigdl.llm.transformers.models.utils import apply_rotary_pos_emb, apply_rotary_pos_emb_no_cache_xpu
  from bigdl.llm.transformers.models.utils import is_enough_kv_cache_room_4_31, is_enough_kv_cache_room_4_36
  from bigdl.llm.transformers.low_bit_linear import SYM_INT4, FP8E5
  from bigdl.llm.transformers.models.utils import use_flash_attention
label_desc: Use image node_id 3 for calling a global function with example usage: use_decoding_fast_path(q_type, use_fuse_rope, enough_kv_room, bs) and returns: unknown