code: def _one_hot_to_float(x, num_classes):
      return F.one_hot(x, num_classes=num_classes).float()
  
imports: from deepspeed.utils.timer import SynchronizedWallClockTimer
  from deepspeed.utils import logger
  from typing import Callable, Dict, TYPE_CHECKING, Any, Optional, Tuple
  import torch
  from torch import Tensor
  from torch.nn import Module
  import torch.nn.functional
  from deepspeed.utils import groups
  from .mappings import drop_tokens, gather_tokens
  from deepspeed import comm
label_desc: Use image node_id 6 for calling a global function with example usage: _one_hot_to_float(x, num_classes) and returns: F