code: def to_d(x, sigma, denoised):
      """Converts a denoiser output to a Karras ODE derivative."""
      return (x - denoised) / append_dims(sigma, x.ndim)
  
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 7 for calling a global function with example usage: to_d(x, sigma, denoised) and returns: unknown