docstr: Return the data prediction model (with corrector).
docstr_tok: ["Return","the","data","prediction","model","(","with","corrector",")","."]
code: def data_prediction_fn(self, x, t):
      """
      Return the data prediction model (with corrector).
      """
      noise = self.noise_prediction_fn(x, t)
      alpha_t, sigma_t = self.noise_schedule.marginal_alpha(
          t
      ), self.noise_schedule.marginal_std(t)
      x0 = (x - sigma_t * noise) / alpha_t
      if self.correcting_x0_fn is not None:
          x0 = self.correcting_x0_fn(x0, t)
      return x0
  
imports: import math
  import torch
label_desc: Use image node_id 4 for calling the DPM_Solver obj's underlying member method code with example usage: obj.data_prediction_fn(x, t) and returns: x0