code: def get_pitch_stats(pitch_list):
      pitch_tensor = torch.cat(pitch_list)
      pitch_mean, pitch_std = (
          pitch_tensor.mean().item(),
          pitch_tensor.std().item(),
      )
      pitch_min, pitch_max = (
          pitch_tensor.min().item(),
          pitch_tensor.max().item(),
      )
      print(f"PITCH_MEAN={pitch_mean}, PITCH_STD={pitch_std}")
      print(f"PITCH_MIN={pitch_min}, PITCH_MAX={pitch_max}")
  
imports: import torch
  from hydra.utils import instantiate
  from tqdm import tqdm
  from nemo.core.config import hydra_runner
label_desc: Use image node_id 1 for calling a global function with example usage: get_pitch_stats(pitch_list) without return types