code: def test_tt_train_fp16():
      # Can only be used if fp16 if CUDA is available
      if torch.cuda.is_available():
          args = TTTrainArgs(fp16=True)
          happy_tt.train("../data/tt/train-eval-grammar.csv", args=args)
  
file_path: happy-transformer/tests/test_tt.py
imports: import torch
  from happytransformer import HappyTextToText, TTSettings, TTTrainArgs, TTEvalArgs
  from tests import happy_tt
  from tests.run_save_load import run_save_load
label_desc: Use image node_id 6 for calling a global function with example usage: test_tt_train_fp16() without return types