code: def append_dims(x, target_dims):
      """Appends dimensions to the end of a tensor until it has target_dims dimensions."""
      dims_to_append = target_dims - x.ndim
      if dims_to_append < 0:
          raise ValueError(
              f"input has {x.ndim} dims but target_dims is {target_dims}, which is less"
          )
      return x[(...,) + (None,) * dims_to_append]
  
imports: import math
  import torch
  import torchsde
  from scipy import integrate
  from torch import nn
  from torchdiffeq import odeint
  from tqdm.auto import tqdm, trange
label_desc: Use image node_id 2 for calling a global function with example usage: append_dims(x, target_dims) and returns: x