code: def rsample(self, sample_shape=torch.Size()):
      return self.logits.expand(
          [*sample_shape, *self.logits.shape]
      ).contiguous()
  
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 4 for calling the FakeCategorical obj's underlying member method code with example usage: obj.rsample(sample_shape) and returns: self