code: def translate(opt):
      ArgumentParser.validate_translate_opts(opt)
      ArgumentParser._get_all_transform_translate(opt)
      ArgumentParser._validate_transforms_opts(opt)
      ArgumentParser.validate_translate_opts_dynamic(opt)
  
      set_random_seed(opt.seed, use_gpu(opt))
  
      engine = InferenceEnginePY(opt)
      _, _ = engine.infer_file()
      engine.terminate()
  
file_path: OpenNMT-py/onmt/bin/translate.py
imports: from onmt.inference_engine import InferenceEnginePY
  from onmt.opts import translate_opts
  from onmt.utils.parse import ArgumentParser
  from onmt.utils.misc import use_gpu, set_random_seed
  from torch.profiler import profile, record_function, ProfilerActivity
  from time import time
label_desc: Use image node_id 1 for calling a global function with example usage: translate(opt) without return types