code: def get_parser_with_args():
      parser = options.get_parser(
          "Collect Top-K Probs", default_task="pytorch_translate"
      )
      pytorch_translate_options.add_verbosity_args(parser)
      pytorch_translate_options.add_dataset_args(parser, gen=True)
      generation_group = options.add_generation_args(parser)
  
      generation_group.add_argument(
          "--source-binary-file",
          default="",
          help="Path for the binary file containing source eval examples. "
          "(Overrides --source-text-file. Must be used in conjunction with "
          "--target-binary-file).",
      )
      generation_group.add_argument(
          "--target-binary-file",
          default="",
          help="Path for the binary file containing target eval examples. "
          "(Overrides --target-text-file. Must be used in conjunction with "
          "--source-binary-file).",
      )
      generation_group.add_argument(
          "--k-probs-to-collect",
          type=int,
          default=8,
          help="Number of probabilities to collect for each output step.",
      )
      generation_group.add_argument(
          "--top-k-probs-binary-file",
          type=str,
          default="",
          help="File into which to save top-K probabilities for each token.",
      )
      generation_group.add_argument(
          "--teacher-max-tokens",
          type=int,
          default=1000,
          help="Maximum number of words in minibatch for teacher to score.",
      )
      return parser
  
file_path: translate/pytorch_translate/research/knowledge_distillation/collect_top_k_probs.py
imports: import numpy
  import torch
  import torch.nn.functional
  from fairseq import options, progress_bar, utils
  from pytorch_translate import hybrid_transformer_rnn, options, rnn, transformer, utils
  from pytorch_translate.constants import CHECKPOINT_PATHS_DELIMITER
  from pytorch_translate.tasks.pytorch_translate_multi_task import PyTorchTranslateMultiTask
label_desc: Use image node_id 3 for calling a global function with example usage: get_parser_with_args() and returns: parser