code: def main():
      parser = argparse.ArgumentParser()
      parser.add_argument(
          "--paths",
          required=True,
          nargs="+",
          help="paths to checkpoint directories used in ensemble",
      )
      parser.add_argument(
          "--eval",
          action="store_true",
          help="compute accuracy metrics against labels (dev set)",
      )
      parser.add_argument(
          "--outdir", help="directory to place ensembled predictions in"
      )
      parser.add_argument(
          "--prediction-name",
          default="test_predictions.pt",
          help="name of predictions in checkpoint directories",
      )
      parser.add_argument(
          "--calc-threshold",
          action="store_true",
          help="calculate threshold classification",
      )
      parser.add_argument(
          "--one-threshold",
          action="store_true",
          help="use on threshold for all subdatasets",
      )
      parser.add_argument(
          "--threshold",
          nargs="+",
          default=None,
          type=float,
          help="user supplied threshold for classification",
      )
      parser.add_argument(
          "--labels",
          nargs="+",
          default=None,
          help="whitespace separated list of label names",
      )
      args = parser.parse_args()
      ensemble_predictions(args)
  
file_path: megatron-lm/tasks/ensemble_classifier.py
imports: import os
  import argparse
  import collections
  import numpy
  import torch
label_desc: Use image node_id 9 for calling a global function with example usage: main() without return types