code: def rand_slice_segments(x, x_lengths=None, segment_size=4):
      """
      Chooses random indices and slices segments from batch
      [B x C x T] -> [B x C x segment_size]
      """
      b, d, t = x.size()
      if x_lengths is None:
          x_lengths = t
      ids_str_max = x_lengths - segment_size + 1
      ids_str_max = ids_str_max.to(device=x.device)
      ids_str = (torch.rand([b]).to(device=x.device) * ids_str_max).to(
          dtype=torch.long
      )
  
      ret = slice_segments(x, ids_str, segment_size)
  
      return ret, ids_str
  
imports: from enum import Enum
  from typing import Optional, Tuple
  import librosa
  import matplotlib.pylab
  import numpy
  import torch
  from einops import rearrange
  from numba import jit, prange
  from nemo.collections.tts.torch.tts_data_types import DATA_STR2DATA_CLASS, MAIN_DATA_TYPES, WithLens
  from nemo.utils import logging
  from nemo.utils.decorators import deprecated
label_desc: Use image node_id 27 for calling a global function with example usage: rand_slice_segments(x, x_lengths, segment_size) and returns: ret,  ids_str