code: def default_noise_sampler(x):
      return lambda sigma, sigma_next: torch.randn_like(x)
  
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 9 for calling a global function with example usage: default_noise_sampler(x) and returns: function