class_docstr: A wrapper for discrete schedule DDPM models that output eps (the predicted
  noise).
class_docstr_tok: ["A","wrapper","for","discrete","schedule","DDPM","models","that","output","eps","(","the","predicted","noise",")","."]
code: def get_eps(self, *args, **kwargs):
      return self.inner_model.apply_model(*args, **kwargs)
  
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 3 for calling the DiscreteEpsDDPMDenoiser obj's underlying member method code with example usage: obj.get_eps() and returns: self