code: def get_args():
      parser = argparse.ArgumentParser(
          formatter_class=argparse.ArgumentDefaultsHelpFormatter,
          description="Generate mel spectrograms with pretrained FastPitch model, and create manifests for finetuning Hifigan.",
      )
      parser.add_argument(
          "--fastpitch-model-ckpt",
          required=True,
          type=Path,
          help="Specify a full path of a fastpitch model checkpoint with the suffix of either .ckpt or .nemo.",
      )
      parser.add_argument(
          "--input-json-manifests",
          nargs="+",
          required=True,
          type=Path,
          help="Specify a full path of a JSON manifest. You could add multiple manifests.",
      )
      parser.add_argument(
          "--output-json-manifest-root",
          required=True,
          type=Path,
          help="Specify a full path of output root that would contain new manifests.",
      )
      parser.add_argument(
          "--num-workers",
          default=-1,
          type=int,
          help="Specify the max number of concurrently Python workers processes. "
          "If -1 all CPUs are used. If 1 no parallel computing is used.",
      )
      parser.add_argument(
          "--cpu",
          action="store_true",
          default=False,
          help="Generate mel spectrograms using CPUs.",
      )
      args = parser.parse_args()
      return args
  
file_path: NeMo/scripts/dataset_processing/tts/generate_mels.py
imports: import argparse
  import json
  from pathlib import Path
  import numpy
  import soundfile
  import torch
  from joblib import Parallel, delayed
  from tqdm import tqdm
  from nemo.collections.tts.models import FastPitchModel
  from nemo.collections.tts.parts.utils.tts_dataset_utils import BetaBinomialInterpolator, beta_binomial_prior_distribution
  from nemo.utils import logging
label_desc: Use image node_id 1 for calling a global function with example usage: get_args() and returns: args