code: def sample(self, sample_shape=torch.Size()):
      with torch.no_grad():
          return self.rsample(sample_shape)
  
imports: import math
  import os
  import shutil
  import sys
  import time
  import torch
  import torch.distributions
  import torch.nn.functional
  from datasets import CUBImageFt
label_desc: Use image node_id 3 for calling the FakeCategorical obj's underlying member method code with example usage: obj.sample(sample_shape) and returns: self