code: def unsqueeze_like(tensor: torch.Tensor, like: torch.Tensor):
      """
      Unsqueeze last dimensions of tensor to match another tensor's number of dimensions.
  
      Args:
          tensor (torch.Tensor): tensor to unsqueeze
          like (torch.Tensor): tensor whose dimensions to match
      """
      n_unsqueezes = like.ndim - tensor.ndim
      if n_unsqueezes < 0:
          raise ValueError(
              f"tensor.ndim={tensor.ndim} > like.ndim={like.ndim}"
          )
      elif n_unsqueezes == 0:
          return tensor
      else:
          return tensor[(...,) + (None,) * n_unsqueezes]
  
imports: from collections import namedtuple
  from contextlib import redirect_stdout
  import inspect
  import os
  from typing import Any, Callable, Dict, List, Tuple, Union
  import lightning.pytorch
  import torch
  from torch import nn
  from torch.fft import irfft, rfft
  import torch.nn.functional
  from torch.nn.utils import rnn
label_desc: Use image node_id 12 for calling a global function with example usage: unsqueeze_like(tensor, like) and returns: tensor, tensor