code: def find_learning_rate_from_args(args: argparse.Namespace) -> None:
      """
      Start learning rate finder for given args
      """
      common_logging.FILE_FRIENDLY_LOGGING = args.file_friendly_logging
      params = Params.from_file(args.param_path, args.overrides)
      find_learning_rate_model(
          params,
          args.serialization_dir,
          start_lr=args.start_lr,
          end_lr=args.end_lr,
          num_batches=args.num_batches,
          linear_steps=args.linear,
          stopping_factor=args.stopping_factor,
          force=args.force,
      )
  
imports: import argparse
  import logging
  import math
  import os
  import re
  from typing import List, Tuple
  import itertools
  from allennlp.commands.subcommand import Subcommand
  from allennlp.common import Params, Tqdm
  from allennlp.common import logging
  from allennlp.common.checks import check_for_gpu, ConfigurationError
  from allennlp.common.util import prepare_environment
  from allennlp.data import Vocabulary
  from allennlp.models import Model
  from allennlp.training import GradientDescentTrainer, Trainer
  from allennlp.training.util import create_serialization_dir, data_loaders_from_params
label_desc: Use image node_id 1 for calling a global function with example usage: find_learning_rate_from_args(args) without return types