code: def f_and_g(self, t, x):
      # t has shape ()
      # x has shape (batch_size, hidden_size)
      t = t.expand(x.size(0), 1)
      tx = torch.cat([t, x], dim=1)
      return self._drift(tx), self._diffusion(tx).view(
          x.size(0), self._hidden_size, self._noise_size
      )
  
imports: import fire
  import matplotlib.pyplot
  import torch
  import torch.optim.swa_utils
  import torchcde
  import torchsde
  import tqdm
label_desc: Use image node_id 2 for calling the GeneratorFunc obj's underlying member method code with example usage: obj.f_and_g(t, x) and returns: self,  self