code: def to_fp32(learn:Learner):
      "Put `learn` back to FP32 precision mode."
      learn.data.remove_tfm(batch_to_half)
      for cb in learn.callbacks: 
          if isinstance(cb, MixedPrecision): learn.callbacks.remove(cb)
      learn.model = learn.model.float()
      return learf to_fp32(learn:Learner):
      "Put `learn` back to FP32 precision mode."
      learn.data.remove_tfm(batch_to_half)
      for cb in learn.callbacks: 
          if isinstance(cb, MixedPrecision): learn.callbacks.remove(cb)
      learn.model = learn.model.float()
      return learn
docs: Put `learn` back to FP32 precision mode.