code: def unsqueeze_as(x, target):
      """Reshape the tensor to be of a shape compatible with the target
      tensor, only valid if x.dim() <= y.dim()
  
      Arguments
      ---------
      x: torch.Tensor
          the original tensor
      target: torch.Tensor
          the tensor whose shape
  
      Returns
      -------
      result: torch.Tensor
          a view of tensor x reshaped to a shape compatible with y"""
      return x.view(x.shape + (1,) * (target.dim() - x.dim()))
  
imports: import math
  import os
  import re
  import csv
  import shutil
  import urllib.request
  import collections.abc
  import torch
  import tqdm
  import pathlib
  import speechbrain
  from numbers import Number
label_desc: Use image node_id 16 for calling a global function with example usage: unsqueeze_as(x, target) and returns: x