code: def rand_slice_segments(x, x_lengths=None, segment_size=4):
      b, d, t = x.size()
      if x_lengths is None:
          x_lengths = t
      ids_str_max = x_lengths - segment_size + 1
      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: import math
  import numpy
  import torch
  from torch import nn
  from torch.nn import functional
label_desc: Use image node_id 9 for calling a global function with example usage: rand_slice_segments(x, x_lengths, segment_size) and returns: ret,  ids_str