code: def _maybe_promote(x: torch.Tensor) -> torch.Tensor:
      # Only promote fp16 buffers, bfloat16 would be fine for instance
      return x.float() if x.dtype == torch.float16 else x
  
file_path: xformers/xformers/components/attention/favor.py
imports: import logging
  import math
  from dataclasses import dataclass
  from typing import Optional, Tuple
  import torch
  import torch.nn
  from torch.cuda.amp import autocast
  from xformers.components.attention import Attention, AttentionConfig, register_attention
  from xformers.components.attention.feature_maps import FeatureMap, FeatureMapType, SMHyperbolic, SMOrf, SMReg
label_desc: Use image node_id 2 for calling the FavorAttention obj's underlying member method code with example usage: obj._maybe_promote(x) and returns: unknown