code: def evaluate_from_args(args: argparse.Namespace) -> Dict[str, Any]:
      return evaluate_from_archive(
          archive_file=args.archive_file,
          input_file=args.input_file,
          metrics_output_file=args.output_file,
          predictions_output_file=args.predictions_output_file,
          batch_size=args.batch_size,
          cmd_overrides=args.overrides,
          cuda_device=args.cuda_device,
          embedding_sources_mapping=args.embedding_sources_mapping,
          extend_vocab=args.extend_vocab,
          weights_file=args.weights_file,
          file_friendly_logging=args.file_friendly_logging,
          batch_weight_key=args.batch_weight_key,
          auto_names=args.auto_names,
      )
  
file_path: allennlp/allennlp/commands/evaluate.py
imports: import argparse
  import json
  import logging
  from json import JSONDecodeError
  from pathlib import Path
  from os import PathLike
  from typing import Union, Dict, Any, Optional
  from copy import deepcopy
  from allennlp.commands.subcommand import Subcommand
  from allennlp.common import logging
  from allennlp.common.util import prepare_environment
  from allennlp.data import DataLoader
  from allennlp.models.archival import load_archive
  from allennlp.evaluation import Evaluator
label_desc: Use image node_id 1 for calling a global function with example usage: evaluate_from_args(args) and returns: evaluate_from_archive