class_docstr: A mapping between continuous noise levels (sigmas) and a list of discrete noise
  levels.
class_docstr_tok: ["A","mapping","between","continuous","noise","levels","(","sigmas",")","and","a","list","of","discrete","noise","levels","."]
code: def sigma_max(self):
      return self.sigmas[-1]
  
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 DiscreteSchedule obj's underlying member method code with example usage: obj.sigma_max() and returns: self